Gnaneshwar Vanam
6.5+ years building production AI/ML systems, GenAI agents, and LLM pipelines that deliver measurable business impact and a Claude Certified Architect.
About Me
Senior Data Scientist with 6.5+ years building production AI/ML systems that generate measurable business impact — from $10M+ in delivered savings to 10,000+ manual hours automated annually.
My stack: Python · PyTorch · LangChain · FastAPI · Azure. I own the full pipeline — feature engineering, model training, REST API deployment, monitoring, and automated retraining.
Recent focus: agentic systems with Claude & Gemini, RAG architectures over large document corpora, LoRA/QLoRA fine-tuning for domain-specific tasks, and MLOps pipelines on Azure that stay reliable under production load.
Core Stack
Experience
Senior Data Scientist
GenAI Data Quality Agent
Built a Gemini 2.5 Pro-based LLM agent for structured 10K+ campaign data extraction. 90% accuracy, saving 10,000+ manual hours annually.
Dynamic Pricing Model
End-to-end LightGBM regression model for phone pricing optimisation, delivering $10M+ in savings over 6 campaigns.
Generative AI & Domain-Specific LLMs
Fine-tuned domain-specific LLMs for answering specialised business and technical queries with high precision.
Churn Prediction Model
Built B2B churn prediction pipeline with 80% precision, identifying key churn drivers and enabling proactive retention strategies.
Data Scientist
Predictive Healthcare Risk Modelling
Developed a predictive model to identify patients at high risk of unplanned inpatient hospital admissions within six months, enabling proactive intervention and care planning — generating $15M in savings within one year.
Enterprise Reporting Automation
Scaled end-to-end reporting automation using Python, SQL and Google Sheets APIs, reducing manual effort significantly and saving $15K annually.
Model Productionisation & MLOps
Productionised multiple predictive models with robust data pipelines, monitoring, and retraining workflows on Azure.
Analytics & ML Strategy Roadmap
Conducted a comprehensive assessment of existing products, defining a 3-year analytics and machine learning roadmap.
Personal Projects
AI/ML systems I've designed, built, and shipped — from GenAI agents to full-stack AI applications.
GiftVision
AI Product Customisation Platform
Chat with Gemini 3.0 Flash to customise awards, trophies, and gifts via natural language — no editing software required. Describe your vision and the AI instantly generates a realistic product image, ready to go straight to hardware production.
Users select a base product from the gallery, then describe desired changes in plain English — 'Add Taylor as Employee of the Year', 'Happy Valentine's Day with a red ribbon', 'Happy Birthday Sarah'. Gemini 3.0 Flash receives both the base product image (multimodal input) and the user prompt, generating a modified product image instantly. Outputs go straight to hardware production — no designer or editing tools needed.
- ▸No editing software required — describe in plain English
- ▸AI-generated images ready for hardware production
- ▸Conversational chat interface with full message history
- ▸Wide variety of gift types: trophies, awards, plaques & more
- ▸Multimodal AI (image + text input)
- ▸Real-time image generation
Truth Verifier
AI-Powered Health Misinformation Detector
Paste an Instagram post or reel URL and get real-time fact-check verdicts — TRUE, FALSE, or UNVERIFIABLE — with cited sources in seconds. Built to make health and science fact-checking frictionless at scale.
The backend fetches Instagram content via yt-dlp (cookie-based auth), extracts audio with ffmpeg, and transcribes it via Gradium STT. TinyFish Agent AI parses the transcript into individual factual claims, searches each against the web using TinyFish Search API, then returns a verdict with explanation and source citation. Results stream to the browser in real time via SSE — users see claims resolve as they arrive, no full-pipeline wait.
- ▸Real-time SSE streaming — verdicts appear as each claim resolves
- ▸Solved Vercel Edge timeout by moving DB write to client-side POST after 'done' event
- ▸Tiered usage system (free / pro / admin) with live usage banner and upgrade modal
- ▸File-based extraction cache keyed by URL + vision flag — avoids redundant Gradium calls
- ▸Supabase RLS with service-role bypass pattern for reliable server-side writes
- ▸Vision mode: Gemini Vision analyzes on-screen text in video frames (admin tier)
More Projects
Campaign Intelligence Platform
GenAI Agentic Data Extraction System
Multi-turn GenAI agentic loop that extracts structured fields from unstructured telecom promotional campaign text — partner, product, promotion type, and offer details — with 90%+ accuracy.
The system runs a multi-turn LLM conversation with tool use: database lookup for partner resolution, two-layer business rule validation, and automatic self-correction retry. Supports OpenAI GPT-4o and Google Gemini interchangeably. Full audit trail logged as structured JSONL.
- ▸Multi-turn agentic loop (up to 10 turns)
- ▸Two-layer validation + self-correction
- ▸Provider-agnostic (OpenAI / Gemini)
- ▸Full JSONL audit trail
Agentic Job Discovery Engine
Autonomous Career Page Scraper
Agentic tool that reads companies and job keywords from a Google Sheet, searches for career pages via Google Search + Gemini disambiguation, scrapes listings with Playwright, and writes results back automatically.
End-to-end autonomous pipeline: reads from Google Sheets → searches for career pages → scrapes job listings with headless Chromium → uses Gemini to disambiguate results → writes structured output back to the sheet. Handles pagination, dynamic JS-rendered pages, and multi-tab layouts.
- ▸Headless browser scraping
- ▸Gemini-powered page disambiguation
- ▸Google Sheets read/write
- ▸Handles dynamic JS-rendered pages
Certifications
Architect
Claude Certified
Architect
Anthropic · April 2026
Certified in designing, building, and deploying production-grade AI systems using Claude models — covering advanced prompt engineering, multi-agent architectures, tool use, safety practices, and enterprise AI integration patterns.
Additional Certifications
Technical Skills
Languages & Data
ML & Deep Learning
Generative AI & LLMs
MLOps & Cloud
Core Skills Radar
Tools & Frameworks
Get In Touch
Let's Build Something Impactful
I'm actively exploring senior AI/ML and Data Science opportunities where I can drive meaningful impact through GenAI products, ML systems, or strategic data roadmaps.
Whether you're building a new AI product, scaling an ML platform, or planning your data strategy — let's connect.
OPEN TO OPPORTUNITIES
Ready to Connect?
Send me an email and let's discuss how I can contribute to your team's success.
Gnaneshwar Vanam
Senior Data Scientist · AI/ML Engineer · GenAI Architect · London