Jay Dosi
B.Tech, Communication and Computer Engineering | Expected Graduation: June 2028
Engineering at the intersection of high-scale systems, machine learning intelligence, defensive infrastructure, and quantitative trading models.

About Me
I am an engineer working at the intersection of high scale systems architecture, machine learning intelligence, defensive infrastructure, and quantitative models. As a Communication and Computer Engineering student, my approach to technology is driven by execution speed and structural integrity whether that means building multi-threaded backend architectures or engineering statistical alpha signals.
My engineering philosophy centers on cross domain synthesis. I map complex legal data into semantic knowledge graphs, design low latency market replay systems, and build defensive AI honeypots to capture live threat intelligence. I thrive in high-stakes technical environments, from deploying enterprise level framework migrations to competing globally in quantitative trading challenges. I build systems that are not just functional, but resilient, scalable, and mathematically sound.
Work Experience
WorldQuant Brain
- Research and submit quantitative alphas on WorldQuant Brain using statistical modeling, factor research, and time-series analysis to develop systematic trading strategies.
Mentox Technologies Pvt. Ltd.
- Designed and built an ERP migration framework from scratch, architecting reusable integration layers and core modules used by system integrators across ERP platform transitions.
- Led development from requirements gathering through deployment, building reusable migration components and integration abstractions for cross-platform ERP transitions.
Chambal Fertilisers and Chemical Limited (CFCL)
- Developed a SAP MM module extending the internal Procure-to-Pay (P2P) workflow for enterprise-wide use, performing end-to-end system integration analysis across transaction flows.
- Documented data handoffs between modules and authored onboarding material, accelerating employee adoption of the new workflow.
Training and Placement Cell (TPC)
- Coordinate campus placement drives and internship cycles with industry partners; organize mock interviews and resume-building sessions for students.
Selected Projects
Historical Market Replay Engine
High-performance WebSocket engine built in Java 21 & Spring Boot 3. Simulates live trading by streaming multi-resolution OHLCV ticks via TimescaleDB using billion-row keyset pagination. Features an in-memory PaperTradingService for algo-bot backtesting.
$ tail -f /var/log/auth.log
Invalid user admin from 192.168.1.100
Connection closed by invalid user
Technical Arsenal
Languages
Backend & Systems
Frontend
AI & ML
Quant & Data
Security
Databases
DevOps & Tools
Achievements & Credentials
WorldQuant Brain Challenge (Gold Level)
QuantAIR Top 30 National Quant Finance Olympiad
QuantWorld Ranked Top 300 IMC Prosperity 4 (Manual Trading Section)
Quant28+ Merged Open Source PRs across IntelOwl & GoFr repositories
EngineeringSelected for GoFr Summer of Code 2025
Engineering2nd Runner-up Vibe-Hacks 2.0 (Google HQ Finalist)
EngineeringWinner of Innovate & Inspire S13 Coding Competition
EngineeringRanked top 3.6% nationwide in JEE Mains
AcademicNational Stage Qualifier in International Mathematical Olympiad (IMO)
AcademicZonal Top Scorer in National Science Olympiad (NSO)
Academic