11/01/2026 updated
100 % available
Production AI Engineer specializing in RAG systems, LLM agents, observability, and local/on-prem AI
New Delhi, India
Only remote
IIT Madras (Software Engg, C++, Python), Machine Learning, Carbon Accounting, SAP Integration Suite.About me
Senior Data Scientist & Applied GenAI specialist with 5+ years shipping production LLMs, RAG systems, AI agents & multi-cloud solutions. Built climate SaaS with patented LLM features and enterprise knowledge assistants. Open-source MCP contributor. Open to senior freelance GenAI roles.
AI AgentsRAGLLMOpenAIGeminiLangChainAmazon Web ServicesCloud ComputingUser Interface DesignPython (Programming Language)Next.jsTypeScriptWebsite BuilderESG CriteriaReact.js
Senior Data Scientist and Applied GenAI specialist with 5 years of experience building production LLM systems, RAG pipelines, AI agents, and multi-cloud solutions.
Core expertise: Generative AI & LLMs (production RAG, tool-using agents, multi-agent workflows, evaluation & grounding), Model Context Protocol (MCP) — built and open-sourced multiple servers (LinkedIn, Medium, Kaggle, X) with 80+ combined GitHub stars, multi-cloud GenAI delivery (AWS Bedrock, Google Vertex AI, DigitalOcean AI), and full production stack (Python, TypeScript, FastAPI, LangChain, Hugging Face, PostgreSQL, MongoDB, Neo4j, Docker, React).
Professional experience:
• Senior Data Scientist, NuSummit (Gurugram, May 2025–Present) — Designing and shipping intelligent products combining Generative AI, applied data science, and sustainability outcomes for enterprise clients.
• Sr. AI Engineer, DoubleKlick Designs (Dec 2024–May 2025) — Shipped an AI-powered Dynamic Assistant over company knowledge bases for grounded Q&A and internal workflows using AWS Bedrock, Vertex AI, and agent architectures.
• Product Lead, CarbonCompete (Jun 2023–Jun 2024) — Led AI-featured SaaS for enterprise data collection and schema construction. Achieved ~90% improvement in data collection efficiency and contributed to patented LLM-based advanced analysis features.
• Senior Machine Learning Engineer, ZeroTEnergy (Nov 2021–Jun 2023) — Built and hardened AI/ML operations for sustainable energy platforms (forecasting, IoT data pipelines, MLOps, cloud functions). Delivered ~85% improvement in IoT data collection efficiency.
Key strengths: Turning messy enterprise data into reliable GenAI products, designing tool contracts and evaluation loops for production reliability, open-source contribution, and end-to-end ownership from product design through deployment.
Tech stack: Python, TypeScript, LangChain, FastAPI, AWS Bedrock, Google Cloud (Vertex AI), DigitalOcean AI, PostgreSQL, MongoDB, Neo4j, Docker, React, Node.js, Hugging Face, Git.
Experience
Professional experience5 - 10 years
Freelancer since2023
Languages
EnglishNative speakerHindiNative speaker
Project history
- Designing and shipping intelligent products that combine Generative AI, applied data science, and sustainability initiatives for enterprise outcomes.
- Leading applied AI/ML for GenAI-powered analytics and product features — from problem framing through stakeholder-aligned delivery.
- Partnering across product and domain teams so models and agents hit measurable product and ESG goals, not just demos.
- Shipped GenAI features and LLM apps, including an AI-powered Dynamic Assistant over company knowledge bases for grounded Q&A and internal workflows.
- Built with AWS Bedrock, Vertex AI, and agent architectures.
- Led AI-featured SaaS for enterprise data collection and schema construction, achieving ~90% improvement in data collection efficiency.
- Patented unique LLM-based features for advanced data handling and analysis — GenAI as product IP, not a slide.
- Applied Generative AI to automate preprocessing and feature engineering, raising model throughput and team velocity.
Certificates
Understanding & Managing Carbon Accounting
Udemy2026
SAP Integration Suite Associate
SAP2025
Machine Learning Training
Internshala2023