Devangan Mukherjee profile photo 2 on Tal
Devangan Mukherjee profile photo 1 on Tal
Devangan Mukherjee profile photo 2 on Tal
Devangan Mukherjee profile photo 1 on Tal

Devangan Mukherjee

Incoming AP intern @ BlackRock | Pre-Final Year at IIT Kharagpur

Lucknow

1+ year of work experience

Quant Singularity
May 20264 mosAug 2026

Working on feature engineering for options-specific signals, validated through rigorous out-of-sample testing. Also responsible for the model pipeline end to end, from fine-tuning to RAG and agentic research workflows, with a strong emphasis on evals and model reliability
Career Development Centre, IIT Kharagpur
Sep 202510 mosJun 2026

Indian Institute of Management Bangalore
Sep 202510 mosJun 2026

India

Working on solving E2EVRP with Deep Learning and Heuristics under Professor Abhay Shobhanan
University of Oulu
May 20255 mosSep 2025

Finland

Harvard Project for Asian and International Relations (HPAIR)
May 20255 mosSep 2025

Japan

Devangan’s AI Stack

antigravity
antigravity
claude code
claude code
codex
codex
cursor
cursor
deepseek
deepseek
langgraph
langgraph

Education

Indian Institute of Technology, Kharagpur

Dual Degree, Minor in Artificial Intelligence

Indian Institute of Technology, Kharagpur

20235 yrs2028
Rani Laxmi Bai Memorial School (R.L.B.)

Rani Laxmi Bai Memorial School (R.L.B.)

20194 yrs2023

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Headline

Incoming AP intern @ BlackRock | Pre-Final Year at IIT Kharagpur

About

I’m an undergraduate from IIT Kharagpur. I think I have a good skill set in tackling problems from scratch, understanding complex systems, figuring out the underlying mechanisms, and building solid, structured solutions. Outside of engineering, I’ve been spending a lot of time exploring finance, risk, and strategic decision-making. I’m currently an FRM candidate and have been learning quite a bit about derivatives, risk modeling, and financial markets along the way. My background in engineering gives me a good understanding of analytical problem-solving, and I think this gives me a good approach to tackling complex problems with structured thinking, numbers-driven thinking, and a focus on details. Apart from academics, I have been involved in various consulting projects and initiatives in analytical thinking related to how businesses operate, scale, and think in complex systems. I think I’m most passionate about marrying technical thinking with finance systems and strategic thinking where quantitative thinking intersects with business systems. I’m a big believer in learning, asking good questions, and building work that makes a lasting impact.

Location

Lucknow

AI stack

antigravity

claude code

codex

cursor

deepseek

langgraph

Work experience

Financial ML Intern at Quant Singularity, May 2026 - Aug 2026 · 4 mos, Working on feature engineering for options-specific signals, validated through rigorous out-of-sample testing. Also responsible for the model pipeline end to end, from fine-tuning to RAG and agentic research workflows, with a strong emphasis on evals and model reliability

Departmental Representative at Career Development Centre, IIT Kharagpur, Sep 2025 - Jun 2026 · 10 mos

Research Intern at Indian Institute of Management Bangalore, Sep 2025 - Jun 2026 · 10 mos, India, Working on solving E2EVRP with Deep Learning and Heuristics under Professor Abhay Shobhanan

Research Intern at University of Oulu, May 2025 - Sep 2025 · 5 mos, Finland

Delegate at Harvard Project for Asian and International Relations (HPAIR), May 2025 - Sep 2025 · 5 mos, Japan

Education

Dual Degree, Minor in Artificial Intelligence, Indian Institute of Technology, Kharagpur

Rani Laxmi Bai Memorial School (R.L.B.)

Public links

github: https://github.com/WavyGRH