Experience
Saksham Rathi | CSE, IIT Bombay
Internships
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Citadel - Software Engineer Internship
Summer 2025, Commodities, London
- Built a robust listener and parser for trade messages, boosting accuracy via async LLM integration
- Developed a real-time health monitor to validate curve markers, track price source heartbeats and uptime, ensure snapshots, and detect cushion/crossed states with Slack alerts across all markets
- Conducted regression on prelim vs close prices to detect curve/source discrepancies and improve reliability
- Extended trade upload tool with trade and risk date support for accurate tracking and downstream use
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Tower Research Capital - Quantitative Developer Internship
Winter 2025, North Moore Trading Team, Gurugram
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Amazon - Applied Scientist Internship
Summer 2024, Bangalore
- Worked on Amazon's Large Language Model Olympus and improved its instruction following ability
- Implemented Classifier-free Guidance method to enhance focus on key parts of user queries and system prompts, optimizing the balance between conditional and unconditional probabilities using a hyper-parameter
- Evaluated the performance of Olympus and some open source models on various single and multi-turn datasets
Research Experience
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Bachelor's Thesis Project - Benchmarking and Performance Analysis of LLM Inference Systems
2025-26, Prof. Mythili Vutukuru
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Research and Development Project - Compressive Lognormal Regression
2024-26, Prof. Ajit Rajwade
- Enhanced viral load estimation in pooled RT-PCR via Bayesian inference and compressed sensing
- Developed a superior Orthogonal Matching Pursuit (OMP) variant using combinatorial group testing
- Optimized sparse recovery using block gradient descent, LASSO, NNLS and proximal algorithms