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Gaurav UserGU
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Gaurav User

@gaurav23

AI and data science student building C++ trading systems, including a limit order book matching engine with 1.06µs mean latency.

India
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I built SableBook, a deterministic C++20 limit order book and matching engine with FIFO price-time priority, multi-instrument routing, and O(1) order lookup. Its release benchmarks reached 1.06µs mean matching latency.

For WebStream Analytics, I engineered a real-time pipeline using Kafka, Spark Structured Streaming, and ClickHouse that processed 50K+ events per minute. I also built Nifty-Quant, a NIFTY 50 backtesting engine with asynchronous jobs and WebSocket progress updates.

My research includes first-author work on diabetic retinopathy grading and brain tumor segmentation, both under review. I developed an entropy-guided student-teacher framework and a deterministic MRI preprocessing pipeline for these projects.

Experience

Work history, roles, and key accomplishments

NIT Delhi logoND

First Author Research

NIT Delhi

Oct 2025 - Apr 2026 (6 months)

Developed a lightweight global-local student-teacher framework for ordinal diabetic retinopathy grading, achieving 0.91 QWK with a 1.7M-parameter model.

Education

Degrees, certifications, and relevant coursework

National Institute of Technology Delhi logoND

National Institute of Technology Delhi

B.Tech, Artificial Intelligence and Data Science

2023 -

Grade: 8.15 CGPA

Pursuing a B.Tech in Artificial Intelligence and Data Science with a CGPA of 8.15, expected to graduate in June 2027.

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