Jul 2025 – Present · 11 mos · On-site

• Project - Structured LLM Optimization
• Under Prof. Mythili Vutukuru
• Fine-tuning LLMs via QLoRA for multi-query programs, sharing a system prompt and control flow
• Reusing KV cache across generation calls using RadixAttention and cache-aware scheduling
• Maintaining radix tree with LRU eviction to optimize multi-level KV cache reuse at runtime

Jun 2025 – Present · 1 yr · Mumbai, Maharashtra, India · On-site

May 2025 – Present · 1 yr 1 mo · On-site

• Instructed students during tutorials; created and evaluated quizzes, exams and tutorial material in close coordination with the course instructor

Nov 2024 – May 2025 · 6 mos · On-site

• Collaborated with the professor in creating labs, exams, autograders, quizzes and practice problems

Aug 2024 – Nov 2024 · 3 mos · On-site

• Instructed sophomore students, offering guidance and support both during tutorials and doubt solving sessions
• Collaborated with the professor in creating weekly quizzes, exams, assignments, practice problems and tutorial notes and grading

Jul 2024 – May 2025 · 10 mos · On-site

• Project - Compressive Lognormal Regression
• Under 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

May 2024 – May 2025 · 1 yr · On-site

• Selected via a rigorous procedure of SoP, Peer Reviews and Interviews to be part of a team of 37 out of 90 applicants
• Guiding sophomores on academic and extra-curricular decisions and helping them navigate their curriculum

Dec 2023 – May 2024 · 5 mos · On-site

• Instructed a cohort of 50 freshman students, offering guidance and support both during tutorial and lab hours
• Collaborated with the professor in creating labs, exams, autograders, quizzes, practice problems and tutorial notes

May 2025 – Jul 2025 · 2 mos · City Of London, England, United Kingdom · On-site

• 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

May 2024 – Jul 2024 · 2 mos · Bengaluru, Karnataka, India · On-site

• 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

May 2024 – Jun 2024 · 1 mo · Mumbai, Maharashtra, India · Remote

• Instructed a group of 25 students for Competitive Programming and provided them the appropriate resources and problems for Dynamic Programming, Sorting, Greedy, Graphs, Trees, Range and String Algorithms

Aug 2023 – Dec 2023 · 4 mos · Mumbai, Maharashtra, India · On-site

• Guided and instructed a group of 40 freshmen students enrolled in a semester-long calculus course (MA 105)
• Actively collaborated with the professors to ensure the seamless and effective execution of the course