Experience

Internships

• 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

• Tower Research Capital - Quantitative Developer Internship

  Winter 2025, North Moore Trading Team, Gurugram

• 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

• Bachelor's Thesis Project - Benchmarking and Performance Analysis of LLM Inference Systems

  2025-26, Prof. Mythili Vutukuru

• 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