OPEN TO 2027 SDE / RESEARCH ROLES

I'm Shivrajsinh Bhosale

Final-year B.Tech at IIT Gandhinagar working on machine learning, optimization, and quantitative finance. Upcoming intern at Axis Bank. SEBI-certified NISM Research Analyst.

view projects download cv
PyTorch Transformers Quant Finance Optimization SQL C++ · Python
agent.status — bash
// agent.status
role = "AI Engineer · Quant Researcher"
edu = "IIT Gandhinagar · 2022–2027"
stack = ["PyTorch", "C++", "SQL"]
cert = "NISM Research Analyst"
repos = 24
stars = 6
status = "open_to_work"
// 01 — ABOUT

About Me

The short version: I like turning hard, fuzzy problems into systems that learn.

Shivrajsinh Bhosale

I'm a B.Tech dual-major in Chemical Engineering with an AI specialization at IIT Gandhinagar, with a strong focus on computer science. As a SEBI-certified NISM Research Analyst and upcoming intern at Axis Bank, I build quantitative trading strategies and financial analysis pipelines.

My work spans software development, algorithmic trading, optimization, and process engineering, with hands-on experience in PyTorch, C++, and Python. Outside coursework I lead initiatives at IIT Gandhinagar's startup ecosystem and tech festivals.

  • NAMEShivrajsinh Bhosale
  • LOCATIONGandhinagar, India
  • EDUCATIONIIT Gandhinagar
  • CERTIFICATIONNISM Research Analyst
  • EMAILshivrajsinh.bhosale@iitgn.ac.in
  • STATUSOpen to opportunities
// 02 — EDUCATION

Academic Background

2022 — 2027

B.Tech, Chemical Engineering
(AI Specialization)

IIT Gandhinagar

CPI: 8.00 / 10

2021 — 2022

Class XII — PCM

Dr. V.G.I. Paranjape, Ratnagiri

88.33%

2019 — 2020

Class X

Podar International School, Satara

95.20%

// 03 — PROJECTS

Featured Work

Selected projects from coursework, competitions, and research. Live on GitHub.

// PROJECT_01
1 Jupyter

FedEx Logistics Optimization — Inter-IIT Tech 13.0

Optimization solution to FedEx's logistics problem statement at Inter-IIT Tech Meet 13.0 — modelled routing and capacity constraints, evaluated cost-vs-time tradeoffs across delivery scenarios.

Optimization Jupyter Inter-IIT
repo details
// PROJECT_02
1 Jupyter

Engineering Optimization — Forklift & Dock Management

Optimization of forklift leasing and dock scheduling for cost and time efficiency at retail distribution centers — formulated as a linear program with real warehouse constraints.

Linear Programming Python Operations Research
repo details
22 more repositories
→ view all on GitHub
// 04 — BLOG

Writing

Paper notes, project write-ups, and the occasional rant.

QKV
JUN 25, 2026 · 12 MIN · #transformers

Attention Is All You Need — Notes from a Slow Read

What the 2017 paper actually says, why it worked, and what surprised me on a careful re-read in 2026.

read post →
soon
COMING SOON · #quant

Building a Backtester That Actually Tells You The Truth

What look-ahead bias, survivorship bias, and overfitting do to your equity curve — and how to design around them.

in draft →
soon
COMING SOON · #optimization

Why Most "AI for Logistics" Demos Don't Survive Contact With a Warehouse

Notes from the FedEx and forklift projects — modelling tricks that worked and what I'd do differently.

in draft →
0AWARDS
0PROJECTS
0LEADERSHIP ROLES
0INTERNSHIPS
// 05 — CV

Curriculum Vitae

The full resume — embedded below or downloadable as PDF.

download cv.pdf
// 06 — CONTACT

Get In Touch

Open to AI / ML engineering, quant research, and SDE roles. Always happy to chat.

Email

shivrajsinh.bhosale@iitgn.ac.in

Phone

+91 8600 563 130

LinkedIn

connect

GitHub

@xsinh19