About
ML Engineer · Agentic AI Builder · Researcher
Who I am
I'm Mohit Goyal. I build agentic AI systems, RAG infrastructure, and applied LLM research projects that move from paper-level ideas into usable products. Most of my work lives at the edge of research and shipping: reliable systems, not just impressive demo windows.
Track record so far: 3 publications / 15x national hackathon winner / research-to-prod AI systems.
What I focus on
Most of my time goes into Agentic AI, RAG infrastructure, Applied LLM research, and MCP systems. Day to day, that means working across Python, PyTorch, FastAPI, MCP, LangGraph, Next.js, moving between the model layer and the product layer on the same project.
Currently
Right now I'm at Lenskart, and here's what I actually work on there.
AI Engineer Intern at Lenskart
Gurugram, India (On-site) · July 2026 – Present
- Building three internal AI systems on the AI Engineering team at Lenskart's Gurugram HQ: a hiring intelligence platform, a CEO intelligence brief, and a competitor creative-intelligence platform.
- Hiring intelligence platform. Built the candidate-discovery and durable-execution layers: multi-provider LLM sourcing across 4 providers with live web-search grounding and per-provider failure classification driving mid-search model fallback; a lease and heartbeat state machine over Postgres that reclaims a crashed worker's in-flight work; identity dedup that routes ambiguous matches to human adjudication instead of auto-merging; and a deterministic 4-key comparator for ranking in place of one opaque LLM score. 40 tables, 199 test files.
- CEO intelligence brief. Built it end to end: 40 source connectors across 16 signal categories writing through a single compliance-gated writer into a Postgres system of record spanning 149 migrations; a 9-tool MCP server backing 18 curation skills with per-stage, per-run, and per-month spend caps; and an evidence layer that admits a claim only on 1 primary or 3 or more independent origins above 0.75 match confidence, with database triggers freezing finalized issues.
- Competitor creative intelligence. Built it end to end: a 7-layer Python/FastAPI and Next.js pipeline tagging assets on 24 structured dimensions through the Gemini Batch API and rolling them into per-brand and cross-brand views; an agent layer running 6 switchable LLM providers behind one adapter with SSE-streamed traces; deduplication resolving one asset to one identity across 3 source platforms; and a deterministic numeric guardrail grounding every generated figure in tool evidence instead of an LLM judge.
Earlier
Before that, I worked as a Software Engineering Intern at C3alabs, and as a Full Stack Developer Intern at ArmorIQ, and as a ML Researcher at RAAPID INC, and as a AI Agent Developer Intern at Kartavya Technology. The full breakdown of what I did at each is on the work experience page.
Research & publications
I also do applied ML research, mostly on efficient fine-tuning and explainable, trustworthy systems. So far that has produced 3 publications:
- GRIT: Geometry-Aware PEFT with K-FAC Preconditioning, Fisher-Guided Reprojection, and Dynamic Rank Adaptation — arXiv preprint (2026). Read the paper
- AoT-BTS: An Explainable Age-of-Trust Based Behavioral Scoring Framework for Real-Time Zero Trust Enforcement using SDN — Research Square (2026). Research Square
- A Comprehensive Review of Microsoft Semantic Kernel: Architecture, Capabilities, and Research Directions — IEEE DELCON (2025). IEEE / DOI
What drives me
Ikigai is a Japanese idea for the reason you get up in the morning: the overlap of what you love, what you're good at, what the world needs, and what you can be paid for. Here's mine, as a person, not just an engineer.
- What I love
- Traveling, exploring new ideas, collaborating with people, music, and media like anime, manga, and web series.
- What I'm good at
- Agentic AI, RAG infrastructure, applied LLM research, and MCP systems, with 3 publications and a 15x national hackathon win record to show for it.
- What the world needs
- More people who lead with common sense.
- What I can be paid for
- Building agentic AI systems and ML infrastructure in production, at Lenskart, C3alabs, ArmorIQ, RAAPID, and Kartavya.
Get in touch
If you want to work together, talk about a project, or ask about the research, the fastest way to reach me is the contact page. You can also find my resume at /resume.