M S Rishav Subhin profile photo 1 on Tal

M S Rishav Subhin

AI/ML Engineer & Researcher | Research Intern @ DRDO CVRDE · IEEE CS Bangalore | Sharing what I learn building real AI systems | Open to Global Research & Internships | Christ University

Bengaluru

2+ years of work experience

The Indian Institute of Metals
Dec 202511 mosPresent

Remote

Active member of India's premier metallurgical and materials science professional body. Staying current with research in advanced alloys, computational materials science, and ML applications in materials characterization.
Power Grid Corporation Of India Limited (Powergrid)
Apr 20262 mosMay 2026

Patna, Bihar, India

Apr 20252 mosMay 2025

Āvadi, Tamil Nadu, India

Built an ML-enabled fault prediction system for Automatic Voltage Regulators (AVR) in DC generators used in combat vehicles. Modeled AVR system behavior in MATLAB/Simulink across 4 baseline 2-hour test runs and multiple fault scenarios Engineered time-series features (lag readings at 1, 2, 3, 5, 10 intervals; rolling stats across 5, 10, 20-window frames) to capture voltage drift patterns ahead of failure Trained a Random Forest Classifier to detect faults 5 seconds before they cross operational thresholds (23.5V / 32.5V), achieving 81.24% accuracy and 81.02% fault-class precision Certified by the Ministry of Defence on successful project completion Supervised by Mr. Rajaraman V, Scientist 'E', DRDO
Byte
Mar 20258 mosOct 2025

Bengaluru, Karnataka, India

Worked directly with founders at an early-stage startup to build the technical hiring function from scratch. Designed and ran end-to-end pipelines for engineering and product roles — sourcing, technical screening, and offer structuring. Built internal tooling to automate candidate tracking workflows. Gained hands-on exposure to zero-to-one org building, fast-cycle decision-making, and operating under resource constraints.
IEEE
Nov 20241 yr 2 mosDec 2025

Bengaluru, Karnataka, India

Engaged with IEEE's global network across computational intelligence, signal processing, and AI systems. Active in the IEEE CS Bangalore Chapter's technical events and research initiatives.

M’s AI Stack

claude code
claude code
codex
codex
mcp
mcp
Composio
Composio

Education

Christ University, Bangalore

BTech in Electronics and Computer Engineering [with Spl. in AI & ML], Electrical and Electronics Engineering

Christ University, Bangalore

20234 yrs2027
Indian Institute of Technology, Madras

Bachelor of Science (BS) Degree in Data Science and Applications

Indian Institute of Technology, Madras

20244 yrs2028

Join M and 10k+ other professionals on

Tal Boss

Tal is the app where bosses meet engineers & builders directly, without middlemen

Download Tal Boss

M S Rishav Subhin on Tal

Headline

AI/ML Engineer & Researcher | Research Intern @ DRDO CVRDE · IEEE CS Bangalore | Sharing what I learn building real AI systems | Open to Global Research & Internships | Christ University

About

I build AI systems that work outside the lab. Not demos. Not Colab notebooks. Production systems — with real constraints, real failure modes, and real users. In the past year: → Built a fault prediction ML system for combat vehicles at DRDO CVRDE — where a false negative isn't a bug report, it's a mission failure → Developed a deepfake detection framework (95%+ robustness) using Vision Transformer ensembles as a Research Intern at IEEE Computer Society, Bangalore → Built Nila Shoshsho — a voice-first, multilingual AI platform so Indian farmers can access crop advisory, market prices, and government schemes without needing to read or type → BuiltTekshila — An AI-powered code documentation platform built on Google Gemini. Generates comprehensive READMEs, adds intelligent inline comments, performs code quality analysis, and opens pull requests automatically. Supports 20+ programming languages. → Shipped FinDocGPT — a microservice architecture for financial document Q&A using FinBERT and Prophet forecasting I'm a final-year AI/ML engineer at Christ University, Bengaluru. My work sits at the intersection of three things: Computer Vision, NLP & Deep Learning Full-Stack AI Product Development Real-world deployment under constraints — defence, healthcare, agriculture I post about what I'm building, what breaks, and what I'd do differently. If that sounds useful — follow along. ms.rishav289@gmail.com portfolio-msrishav.vercel.app

Location

Bengaluru

AI stack

claude code

codex

mcp

Composio

Work experience

Student Member at The Indian Institute of Metals, Dec 2025 - Present · 11 mos, Remote, Active member of India's premier metallurgical and materials science professional body. Staying current with research in advanced alloys, computational materials science, and ML applications in materials characterization.

Intern at Power Grid Corporation Of India Limited (Powergrid), Apr 2026 - May 2026 · 2 mos, Patna, Bihar, India

Intern at cvrde, Apr 2025 - May 2025 · 2 mos, Āvadi, Tamil Nadu, India, Built an ML-enabled fault prediction system for Automatic Voltage Regulators (AVR) in DC generators used in combat vehicles. Modeled AVR system behavior in MATLAB/Simulink across 4 baseline 2-hour test runs and multiple fault scenarios Engineered time-series features (lag readings at 1, 2, 3, 5, 10 intervals; rolling stats across 5, 10, 20-window frames) to capture voltage drift patterns ahead of failure Trained a Random Forest Classifier to detect faults 5 seconds before they cross operational thresholds (23.5V / 32.5V), achieving 81.24% accuracy and 81.02% fault-class precision Certified by the Ministry of Defence on successful project completion Supervised by Mr. Rajaraman V, Scientist 'E', DRDO

Human Resources Business Partner at Byte, Mar 2025 - Oct 2025 · 8 mos, Bengaluru, Karnataka, India, Worked directly with founders at an early-stage startup to build the technical hiring function from scratch. Designed and ran end-to-end pipelines for engineering and product roles — sourcing, technical screening, and offer structuring. Built internal tooling to automate candidate tracking workflows. Gained hands-on exposure to zero-to-one org building, fast-cycle decision-making, and operating under resource constraints.

Student Member at IEEE, Nov 2024 - Dec 2025 · 1 yr 2 mos, Bengaluru, Karnataka, India, Engaged with IEEE's global network across computational intelligence, signal processing, and AI systems. Active in the IEEE CS Bangalore Chapter's technical events and research initiatives.

Education

BTech in Electronics and Computer Engineering [with Spl. in AI & ML], Electrical and Electronics Engineering, Christ University, Bangalore

Bachelor of Science (BS) Degree in Data Science and Applications, Indian Institute of Technology, Madras

Public links

github: https://github.com/msrishav-28

portfolio-msrishav.vercel.app: https://portfolio-msrishav.vercel.app/