Krishna Menon.
B.Tech AI · AI/ML Engineer
Building intelligent systems — from privacy-preserving NLP pipelines to enterprise audit automation.
01 / about
A bit about me.
I'm an Artificial Intelligence undergraduate at NMIMS University passionate about building AI systems that solve real business problems. I've shipped production tools used by actual audit teams, contributed to a national championship-winning engineering team, and I thrive in fast-paced environments where ownership matters.
I care deeply about the why behind what I build. Every project I've shipped started with a real problem — whether that was an audit team drowning in manual work, or a hackathon challenge that needed semantic search over video transcripts. I work best when I have ownership over the outcome.
Outside of code, I spent a year with MPSTME Racing, where I built telemetry software for an all-terrain vehicle and helped the team win AIR 1 at ATVC Season 8. That experience taught me that the best engineering happens at the intersection of software and real-world constraints.
B.Tech in Artificial Intelligence
MPSTME, NMIMS University
2023 – 2027 (Expected)
🏆 1st Place – Python Programming
CEC Code Execution Championship · Dec 2022
Introduction to LangChain – Python
LangChain Academy · Mar 2026
Machine Learning Foundations
AWS Educate · May 2024
02 / experience
Where I've worked.
Kotak Mahindra Prime Limited
AI/ML Intern — AI Innovations Department
- Mentored in the AI Innovations Department, where I was tasked with solving a real-world compliance challenge: automating internal policy audits.
- Developed the 'Internal Audit App' from scratch, gaining deep hands-on experience with agentic frameworks like CrewAI, Model Context Protocol (MCP), and Qdrant vector databases.
- Learned React on the job to build the frontend, ultimately delivering and presenting a full-stack, production-ready tool directly to the audit team stakeholders.
MPSTME Racing
Executive — Powertrain & DAQ Departments
- Built a smartphone-based telemetry app to display real-time vehicle speed, pitch, and yaw using onboard sensors — no external microcontrollers, reducing field test cost and complexity.
- Worked on powertrain assembly, CVT tuning, and drivetrain optimisation for the team's all-terrain vehicle.
- Team won AIR 1 Overall Champions, AIR 1 Design & Manoeuvrability, and AIR 2 Endurance at ATVC Season 8 (2025).
Technical & Research Cell
Executive
- Contributed to designing the event website and managed logistics for technical events and special guests.
03 / projects
Things I've built.
A curated selection of projects — each one built around a real problem. Click Read case study on any card to see the full story.
An internal tool for the audit team that automates compliance checks against policy documents — built with a human-in-the-loop approval workflow.
An AI system that classifies domestic safety risk from text — without ever exposing private information to the model. PII is masked first, classification happens second.
04 / skills
What I work with.
05 / contact
Get in touch.
I'm actively looking for internship and full-time opportunities in AI/ML engineering, full-stack development, or anything at the intersection of both.
Whether you have a role in mind, want to talk about a project, or just want to say hi — my inbox is always open.
Say Hello