Open to full-time remote roles · AI Product · AI Ops · Content Ops · GTM & Growth

Bhupender Singh

An AI-native operator who builds systems, ships prototypes, and documents them so they keep running.

Two-plus years shipping AI-powered workflows, prototypes, and content systems — across LLM training, prompt engineering, SEO/AEO, and multi-channel growth — for remote-first teams in the US, UK, Belgium, India, and Singapore.

Read the case studies Get in touch Download CV ↗
783.8%
LinkedIn engagement growth, zero ad spend
10K+
AI datapoints validated, zero quality failures
200+
SEO articles published
#1
Google AI Overview, out of 2,800+ profiles

About

Who I am

“The unexamined life is not worth living.”Socrates · Plato’s Apology

I’m an AI-native operator who builds systems, ships prototypes, and runs cross-functional operations — without waiting for a full engineering team.

I’ve designed and deployed AI-powered content pipelines, built and shipped this portfolio via OpenAI Codex connected directly to GitHub, prototyped AI product interfaces using Google Stitch and Google AI Studio, and run agentic analysis workflows in Google Colab with Gemini. On the data side, I’ve validated 10,000+ LLM datapoints across multilingual annotation pipelines with zero client-reported failures.

I combine the product instinct to know what to build, the AI fluency to build it quickly, and the operational discipline to document it so it keeps running after I’ve moved on.

Now seeking a full-time remote role in AI Product · AI Ops · Content Operations · Growth & GTM where I can own execution, iterate fast, and improve systems over time.

Based in
Kaithal, Haryana · Remote
Experience
2+ years
Education
BA Humanities · Kurukshetra University
Currently
Strategy & Sales Intern, VECTRA International
Languages
Hindi & Punjabi (native) · English (professional)
Phone
+91-99968-48167

Five disciplines

  1. i.

    AI Product Builds

    Deployed this portfolio via Codex × GitHub. Prototyped with Google Stitch, Google AI Studio, and Colab + Gemini.

  2. ii.

    Prompt Engineering & QA

    Validated and improved 10,000+ AI datapoints across multilingual LLM pipelines with zero quality failures.

  3. iii.

    SEO & AEO

    200+ SEO articles. Ranked #1 on Google AI Overview out of 2,800+ profiles via documented keyword sequencing.

  4. iv.

    Content Operations

    Built AI-assisted workflows at Figmenta, replacing manual production with single-run automations and a team-wide prompt library.

  5. v.

    Growth Execution

    783.8% LinkedIn engagement growth with zero ad spend; scaled YouTube to 2,062 views through a repeatable framework.

Experience

Learning by doing

“For the things we have to learn before we can do them, we learn by doing them.”Aristotle · Nicomachean Ethics
May 2026 — PresentBelgium · Remote
Current

VECTRA International

Operations & Strategy Analyst — GTM & Market Intelligence · Internship

Supporting strategy, GTM operations, and market intelligence across live client engagements for an ESG and supply-chain consulting cooperative.

  • Producing competitor positioning and market intelligence reports — structuring multi-source industry data into decision-ready outputs used directly in client-facing strategy sessions.
  • Identified and documented 3+ cross-functional workflow inefficiencies through structured process analysis; improvement proposals adopted into team operations.
  • Contributing to GTM pipeline execution: prospect research, contact enrichment, and proposal structuring across active sales cycles using Clay and Waalaxy.

Market IntelligenceGTM OpsClayWaalaxyProcess AnalysisCompetitor Benchmarking

Dec 2025 — Mar 2026United Kingdom · Remote

Figmenta Ltd.

AI Content & Workflow Automation Analyst · Fixed-term internship

Acted as product owner for internal AI tooling and content systems — defining requirements, building automations, and documenting them as reusable SOPs.

  • Product owner for internal AI tooling: defined requirements, designed automation architecture using GPT-4 and Claude, built and shipped the system, and documented it as a reusable product asset.
  • Built a reusable prompt library for recurring content tasks — consistent, instruction-aligned output across the team without per-task supervision.
  • Delivered competitor benchmarking, GTM gap analysis, and product positioning reports that directly informed 2 campaign launches.
  • Produced full-funnel content assets (articles, landing pages, ad copy, video scripts, AI-assisted visuals) from briefing through publication.

AI Product OwnerGPT-4ClaudePrompt LibraryAEO/SEOGTM AnalysisClay · Instantly · WaalaxyWorkflow Automation

Jul 2025 — Nov 2025New York · Remote

VenturX Capital

Marketing Operations & Podcast Producer · 5-month internship

Owned the full marketing function and podcast production for an early-stage VC fund — built from zero to documented, repeatable systems.

  • Grew the LinkedIn channel 783.8% in engagement — 7,000+ impressions and 45+ hours of cumulative watch time through a repeatable, design-led post framework with documented A/B results. Zero paid spend.
  • Managed end-to-end production of the Unlocking Venture Capital podcast: intake, audio and video editing, captioning, and quality review on a consistent schedule.
  • Cut and published short-form reels across YouTube, LinkedIn, and Instagram — vertical and square formats with platform-native captions.
  • Scaled YouTube to 2,062 views and 30+ watch hours via retention-optimised scripting, A/B-tested thumbnails, and a structured upload cadence.
  • Built a weekly marketing reporting system that cut the founder’s decision-to-iteration cycle to under a week — still operational after the engagement ended.

Podcast ProductionReel CreationLinkedIn GrowthYouTube OpsA/B TestingContent SystemsCapCut · Canva · Adobe

Dec 2024 — Jun 2025United States · Remote

Uber (Scaled Solutions)

Annotation Specialist & QA

  • Multilingual annotation and QA for Uber’s NLP and ride-intelligence models — voice, object, and text datasets at scale.
  • Corrected transcriptions for precise audio–text alignment across English, Hindi, and Punjabi.
  • Trained AI models using voice-command datasets; delivered against defined quality benchmarks.

NLP · Voice AnnotationMultilingual QAHindi · Punjabi · English

Dec 2024 — Jun 2025Singapore · Remote
Independent contractor

Andovar

LLM Evaluation Specialist

  • Structured feedback and edge-case analysis for LLM evaluation cycles — improving prompt reliability, reducing hallucinations, and strengthening data integrity.
  • Qualitative and quantitative QA across multilingual text and voice datasets for production AI pipelines.

LLM EvaluationEdge-case AnalysisPrompt Reliability QA

Dec 2024 — Mar 2025Delhi · Remote

Inventiva

SEO Content Writer

  • 200+ SEO articles published across tech, finance, and current affairs — increasing on-page visibility and organic engagement.
  • Monitored keyword performance via Google Search Console and Trends; improved readership through intent-driven strategy and internal linking.
  • Streamlined editorial publishing workflows, reducing turnaround while maintaining ranking consistency.

200+ ArticlesWordPress · Rank MathSearch Console · Trends

Jan 2024 — Jan 2025US, UK · Remote

Outlier · Labelbox · LXT

AI & Prompt Engineering Specialist

Project-based AI data operations across model evaluation, annotation QA, and multilingual prompt tasks.

  • Processed and validated 10,000+ data points via Labelbox and V7 Labs with zero client-reported quality failures.
  • Designed, tested, and refined LLM prompts across English, Hindi, and Punjabi — improving instruction-following accuracy and multilingual adaptation.
  • Fine-tuned LLM outputs at LXT through annotation and dataset QA, aligned with measurable performance KPIs.
  • Coordinated task allocation in Notion, Airtable, and Google Sheets; on-time delivery for every sprint.

10K+ Data PointsPrompt EngineeringLabelbox · V7 LabsNLP + CV Pipelines

Mar 2024 — Jan 2025Pune · Remote

PEC Attestation

Legal Translator & Content QA

  • 300+ legal and technical documents translated across Hindi, Punjabi, and English — notarisation and apostille compliant, 98%+ client satisfaction.
  • Managed high-volume document QA workflows in Excel, standardising formatting, terminology, and review checkpoints.

300+ Documents98% SatisfactionLegal Translation

Selected work

The archive

“We are what we repeatedly do. Excellence, then, is not an act, but a habit.”Will Durant · on Aristotle

Featured · Figmenta, 2025–26

Product Design Presentation

A slide-by-slide breakdown of product thinking, UX rationale, and design decisions — created during the Figmenta internship.

Open presentation ↗
  1. Research & DiscoveryCompetitive analysis, persona mapping, and opportunity sizing.
  2. Problem DefinitionJobs-to-be-done, pain-point prioritisation, and problem framing.
  3. Solution DesignFeature concepts with UX reasoning and trade-off analysis.
  4. GTM & ValidationLaunch sequence, success metrics, and validation criteria.

Three volumes of evidence

Vol. I

Figmenta Ltd.

Content & QA · UK · 2025–26

AEO playbooks, brand concepts, app QA strategy, competitor analysis, SEO agent roadmap, WhatsApp agent, product studies, and campaign docs.

Open archive ↗

SEO · AI Search

AEO Playbook

Answer Engine Optimisation for AI-driven search — keyword datasets, intent mapping, AI-first content structure.

Product · QA

App Project — QA & Strategy

Feasibility and QA strategy — risk assessment, go/no-go analysis, technical sustainability.

Research

Competitor & Technology Analysis

Competitive landscape analysis informing strategic decisions and campaign prioritisation.

AI Systems

WhatsApp Agent

Flow logic, prompt architecture, and integration specs for an operational AI agent.

AI · SEO

SEO Agent Roadmap

Pipeline design, automation scenarios, and phased implementation plan.

Brand Strategy

Brand Concept Development

Identity, tone, and market differentiation for an early-stage product.

Product MVP

MVP Product Analysis

Technical viability, scope definition, and launch readiness assessment.

Content

Video Scripts

Multi-format scripts aligned to brand voice and platform strategy.

GTM · B2B

Discord in B2B

Discord as a B2B community and growth channel, with implementation recommendations.

Vol. II

VenturX Capital

Marketing Operations · New York · 2025

Podcast production docs, campaign analysis, 4-month growth report, performance datasets, content calendars, and automation scenarios.

Open archive ↗

Growth Report

4-Month Marketing Growth Report

Channel-by-channel performance — 783% LinkedIn growth, YouTube retention, cross-platform insights.

Podcast · Production

Podcast Production — Eps. 01–04

High-retention editing, hook testing, watch-time optimisation, episode-level analysis.

Vol. III

AI Portfolio 2024

Multi-client · Global · Remote

Open archive ↗

Annotation project documentation, prompt engineering samples, LLM evaluation outputs, and multilingual QA system notes.

Published writing

In depth

Case studies

“The impediment to action advances action. What stands in the way becomes the way.”Marcus Aurelius · Meditations

Eight real projects — AI training pipelines, organic growth, technical SEO recovery, founder-led ambiguity, automation, AI-search optimisation, and an agentic build. Open any one to read it in full.

01 AI Training · 18+ months · Multi-platform AI & Me: A Year Inside Production Pipelines Andovar · LXT AI · Labelbox · Outlier · Uber — Prompt Engineer, Annotator, Multilingual QA

The problem

Modern AI systems fail not because of algorithms alone, but because of noisy data, weak labels, cultural blind spots, and poorly designed prompts. My role was to operate inside these fault lines — improving data fidelity before models reached production scale.

My role

  • Image, video, audio, and text annotation
  • Prompt engineering and response evaluation
  • Multilingual QA — English, Hindi, Punjabi
  • Speech-to-text correction and voice dataset collection
  • Bias detection, hallucination spotting, output validation

Workstreams

Speech & Voice (Andovar) — multilingual voice commands, transcript correction, accent robustness.

Computer Vision (LXT) — bounding boxes, segmentation, skeleton maps for pose estimation.

LLM Evaluation (Outlier) — prompts in 3 languages, response rating for accuracy and reasoning depth.

Classification & OCR (Uber) — text domain classification, food image labelling, handwriting recognition.

Key learnings

  • AI quality is a data problem before it’s a model problem
  • Small annotation decisions compound at scale
  • Multilingual context is non-negotiable for global AI
  • Human judgment bridges raw models and usable systems
02 Marketing Ops · 4 months · VenturX Capital, NY Scaling a Founder-Led Media Brand Through Design-Driven Marketing VenturX Capital, New York — Marketing Operations Intern
783.8%
LinkedIn impression growth (organic)
7,000+
Cross-platform impressions
2,062
YouTube views · 30h watch time
45h+
Total watch / listen time
95.4%
New viewers (YouTube)
97
Spotify plays · 15h consumed
Multi-platform analytics report showing 783% LinkedIn growth, YouTube and Spotify breakdowns
Fig. — Multi-platform analytics report: LinkedIn, YouTube, Spotify.

Challenge

  • Inconsistent visual identity across YouTube and LinkedIn
  • Strong ideas, but weak hooks and early-second retention
  • Heavy founder dependency — no repeatable content system
  • Unclear signal on what drove engagement vs. vanity metrics

Strategy

  • Experimental thumbnails testing click and retention behaviour
  • Colour-led branding for visual consistency in feed
  • Long-form episodes edited into high-retention formats
  • Analytics-driven reporting: from “what” to “why it performed”
  • Repeatable workflows: ideation → production → distribution

Takeaways

  • Design clarity compounds distribution reach
  • Retention is a stronger signal than raw impressions
  • Founder-led brands scale best with systems, not volume
03 Product & AI Ops · 3 months · Figmenta UK Navigating Ambiguity & Ownership in a Founder-Led Agency Figmenta, London — Content & QA, expanded to Product, AI & GTM Ops

The environment

  • Projects at mixed stages — some paused for 1–2+ years
  • Ambiguous ownership and fluid role boundaries
  • Active transition to a project-based organisation model
  • Founder-led decision-making, limited process guardrails

What I did

  • Product & Strategy — feasibility, competitor analysis, go/no-go
  • AI Systems — content generation, AEO pipelines, ops automation
  • SEO / AEO — deep keyword analysis, AI-driven search playbooks
  • GTM Outbound — lead research and enrichment via Clay & Waalaxy
  • Figma collaboration — visual concepts influencing live design decisions

Outcomes

  • Multiple initiatives moved from ambiguity to structured direction
  • Leadership adopted product, SEO, and AEO recommendations
  • Role shifted from executing tasks to being consulted for judgment
  • AI workflows reduced manual effort and improved consistency
04 Technical SEO · Month 3 · Figmenta.com Crawl Efficiency at Scale — SEO Indexing Recovery Figmenta.com — SEO Operations & Systems Owner
~560
Pages indexed (from ~250)
1,000
Unauthorised sitemaps removed
4,000+
Stale URLs declining
✓
Crawl behaviour stabilised

The problem

  • ~4,000+ stale URLs diluting crawl budget
  • ~1,000 unauthorised XML sitemaps injected externally
  • Only ~50% of live pages indexed — noisy, unreliable signals

Approach

  • Immediate — removed all ~1,000 unauthorised sitemaps from GSC
  • Recovery — structured URL inspection, priority indexing requests
  • Normalisation — systematic stale URL reduction over time
  • Parallel — SEO articles, brand visuals, custom GPT image board
05 Growth Experiment · 15 days · LinkedIn × Waalaxy Scaling LinkedIn via Automation — 29% Growth in 15 Days Personal account — campaign less than 50% complete at close
LinkedIn 15-day growth study: 29% follower growth, 413% profile views, about 15 hours saved
+29%
Followers — 700 → 905
+413%
Profile views — 30 → 154
~15h
Time saved over 15 days

What worked

  • Automation created consistent daily reach without effort spikes
  • Higher profile visibility led to organic discovery beyond outreach
  • Conversations were meaningful — not shallow connections

Key insights

  • Consistent automation outperforms irregular manual effort
  • Visibility compounds when outreach and profile clarity align
  • “Consistency, not intensity — that’s the real leverage.”
06 AI Search Optimisation · LinkedIn entity design From Keywords to Selection: Optimising a LinkedIn Profile for AI Search LinkedIn personal profile — AEO, entity clarity, signal consistency
#1
Among 2,800+ similar-name profiles
Top
AI-recommended result for ops-focused queries
4
Sections restructured for LLM interpretability

Overview

This experiment tested LinkedIn performance in AI-driven search environments, where results are selected and synthesised rather than only ranked. The goal: position one profile as a clear, reliable entity likely to be extracted by language models.

Hypothesis

Traditional SEO assumes keyword density improves ranking. AI search rewards coherent identity. If profile structure and language stay consistent, AI systems will prefer it over keyword-heavy but fragmented alternatives.

Method

  • Keyword sequencing across Headline (1×), About (3×), Experience (2×), Skills (1×)
  • Entity clarity rewrite: what was done, what changed, why it matters
  • Signal consistency around AI Operations + Content/SEO/Growth Systems
  • Structural mapping so each section answers one AI query intent

Results

  • Surfaced as a top AI-recommended result for Content, SEO, and Growth Operations prompts
  • Ranked #1 among 2,800+ similar-name profiles in tested AI-generated context
  • AI summaries extracted role clarity, proof depth, and identity consistency accurately

Insight & next steps

  • AI search does not rank — it selects.
  • Winning profiles maximise interpretability, not keyword volume.
  • Next: repeat tests across query types, extend entity design to other platforms, and benchmark across multiple AI tools.
07 AEO · Documented framework #1 Google AI Overview — Keyword Sequencing × SGE AEO · SGE · E-E-A-T · Entity optimisation
#1
Position on Google AI Overview (SGE)
2,800+
Competing profiles outranked
✓
Replicable framework documented

Overview

Conceived, designed, and ran a structured experiment to test whether Google’s AI Overview (SGE) could be influenced via structured content and entity signals. Applied a keyword sequencing and density method to a LinkedIn profile targeting a specific query — the profile ranked #1 on Google AI Search out of 2,800+ competing profiles. The full methodology is documented as a replicable AEO framework covering entity structuring, answer-first framing, E-E-A-T signal alignment, and structured keyword placement. See also case study 06.

08 Agentic Build · AI-shipped product Codex × GitHub — 0-to-Deploy, No IDE OpenAI Codex · Claude Code · Cursor · GitHub Pages
Live
The site you are reading
No IDE
Prompt → build → deploy
4
Tools: Codex, Claude Code, Cursor, GitHub

Overview

Defined the product scope, wrote prompts to spec, iterated with OpenAI Codex, and deployed directly to GitHub Pages — no local IDE. End-to-end ownership of a shipped product: spec → prompt engineering → build → version control → live deployment. Claude Code and Cursor handled additional agentic coding tasks, including this redesign. Built with HTML, CSS, and JavaScript.

View the source on GitHub ↗

Toolkit

Skills & stack

“The limits of my language mean the limits of my world.”Ludwig Wittgenstein · Tractatus

Specialist skill

Multilingual Prompt Engineering

Prompt design, LLM evaluation, and data QA across English, Hindi, and Punjabi — a rare capability directly valuable for India-focused AI teams and global LLM projects.

Capability mix

Prompt Engineering & LLM Ops
87
Content & SEO Operations
78
AI Product & Prototyping
75
Marketing & Growth Execution
72
GTM & Outbound Ops
60

Role-weighted snapshot from the active resume suite — a visual estimate for quick orientation.

i.AI & LLM

GPT-4o · Claude · Gemini · Google AI Studio · Microsoft Copilot · Google Colab · Prompt Engineering · LLM Fine-tuning · RLHF Feedback Loops · Instruction-Following Optimisation · Hallucination Reduction · Edge-Case Analysis · Human-in-the-Loop AI

ii.Agentic Coding & Prototyping

OpenAI Codex · Claude Code · Cursor · Google Stitch · Google AI Studio · Colab + Python · GitHub · Vibe Coding · Agentic Builds · AI Product Prototyping

iii.SEO & AEO

Google Search Console · Rank Math · Google Trends · Semrush · Ahrefs · PageSpeed Insights · AnswerThePublic · Answer Engine Optimisation · Featured Snippets · AI Overview / SGE · E-E-A-T · Schema · On-Page SEO · Keyword Research · Content Clustering

iv.Content Operations

WordPress · Sanity · Contentful · Notion · Google Docs · Long-Form Content · Conversion Copywriting · Email Copy · Video Scripts · Ad Copy · Landing Pages · Brand Voice · Editorial Pipeline · Content Calendar · AI-Assisted Workflows

v.Marketing & Growth

LinkedIn (Organic) · YouTube · Instagram Reels · Multi-Channel Strategy · A/B Testing · Campaign Analytics · Organic Growth · Marketing Reporting · Looker Studio · GA4 · LinkedIn Analytics · YouTube Studio

vi.GTM & Outbound

Clay · Instantly · Waalaxy · Lead Research · Data Enrichment · ICP Targeting · Prospect List Building · Outbound Sequencing · Pipeline Collateral · GTM Gap Analysis

vii.Podcast & Video

CapCut · Canva Video · Adobe Premiere (basic) · Episode Editing · Reel Creation · Caption Overlay · Multi-Platform Distribution · Retention Scripting

viii.Data & Annotation

Labelbox · V7 Labs · Outlier · LXT · Text / Voice / Vision Annotation · Multilingual NLP (EN/HI/PA) · ASR Alignment · Structured Data QA

ix.Project & Ops

Notion · Airtable · Google Sheets · Microsoft 365 · Slack · Asana (basic) · SOP Development · Workflow Documentation · Sprint Coordination · Stakeholder Comms · SLA Management

Certifications

  • AI Training Specialist FlexiBench AI
  • AI Annotation Specialist Micro1
  • Content Creation with GenAI Coursera
  • SEO with Squarespace Coursera
  • Writing & Editing University of Michigan
  • English for Journalism University of Pennsylvania

Education

Kurukshetra University

BA Humanities, 2021–2023 · Certificate in Computer Science (Level 1), 2021–2022

2021 — 2023

Contact

Let’s build
something.

Open to full-time remote roles in AI Product, AI Ops, Content Operations, GTM & Growth — or anywhere these intersect. I move fast, build scrappy, and document everything.

  • AI Product
  • AI Ops
  • Content Operations
  • GTM & Growth
  • Remote · Full-time
Email me LinkedIn ↗ GitHub ↗ Download CV ↗

I typically reply within 24 hours.

Reference

Sydney Wong

Founder & CEO — Unlocking Venture Capital
Seed Investor · VenturX Capital, Montreal QC
sydney.wong@venturx.ca · (514) 241-5982

Read the reference letter ↗