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vansh agarwal

@vanshagarwal

Message

I am a Data Scientist and Quant Developer based in India, crafting robust digital solutions everyday.

India

Message

What I'm looking for

I seek Data Science/Software Developer/Quant roles where I can own production systems and models, drive measurable performance gains, work in collaborative engineering teams, and continue growing in algorithmic research and production engineering.

Having pursued BTech in AI & Data Science from IIT Jodhpur, I have profound passion for developing robust & scalable digital solutions. To enlist, I am an active open source contributor (Google Summer of Code - NumFocus), bearing a 1658 Codeforces rating & many high-impact projects.

What I Bring to the Table:

Technical Expertise: Exceptional grasp of Python, C/C++, Java, Javascript, Golang, OOPs
Machine Learning: Computer Vision, RL, Deep learning ( Pytorch, ScikitLearn, Tensorflow, numpy, pandas), Graph Neural Nets, MLOps, Probabilistic Graphical Models
Full Stack Development: From design to development to deployment, I manage the full SDLC. Tech stack is MERN, Springboot, GraphQL, Docker, K8s, MySQL, MongoDB, Spark
Others: Quantitative Finance, Optimization, Calculus, Linear Algebra, Probability/Stats
Collaboration & lucrative communication have always been the core of my work!

Experience

Work history, roles, and key accomplishments

Quant C++ Developer

GoQuant

Feb 2025 - Aug 2025 (6 months)

◦ Built a high-performance Modern C++ LOB trade simulator leveraging OKX Crypto spot exchange realtime data. Implemented Almgren-Chriss model to minimize slippage by 11% .
◦ Analyzed LOB dynamics using VPIN toxicity signals, improving execution timing by 9% . Enhanced robustness with Bayesian Sharpe ratio optimization, increasing Sharpe from 1.1 to 1.6

Open Source Developer

Google Summer of Code

May 2024 - Aug 2024 (3 months)

◦ Achieved NetworkX parallelization by integrating NetworkX’s and joblib’s configuration systems into nx-parallel, implementing custom chunking strategies, and adding 15 parallel graph algorithms.
◦ Wrote Unit & Integrated tests & performed profiling to analyze chunking effects on speedup.

ML Engineer Intern

MutaEngine

May 2023 - Aug 2023 (3 months)

Performed anomaly detection on HTTP logs using Isolation Forests and DBSCAN, triggering mutation routines and improving intrusion detection and prevention by 40%.

Anomaly Detection Isolation Forest DBSCAN Python Machine Learning Log Analysis Intrusion Detection

Education

Degrees, certifications, and relevant coursework

Indian Institute of Technology Jodhpur

Bachelor of Technology, Artificial Intelligence & Data Science

2021 - 2025

Activities and societies: Team Lead, Google Developer Students Club IIT Jodhpur; Codeforces competitor (Expert, rating 1691); contributor to open-source projects (Google Summer of Code participant).

BTech in Artificial Intelligence & Data Science at the Indian Institute of Technology Jodhpur (Aug 2021–July 2025) with coursework in Data Structures & Algorithms (A), Probability & Statistics (A-) and Pattern Recognition & ML. Concentrated on AI/ML, algorithms, and data-driven projects.