New Delhi, Delhi, India
I am a highly motivated Computer Science & Engineering student at IIIT Delhi with a strong academic background and a passion for software development and AI research.
Intern in the Financial Business Insights Team (Internal Systems)
• Contributed to cppgrad-tensor, a C++ tensor library with core tensor ops, by building native kernels that are comparable to BLAS on small inputs and BLAS acceleration delivers up to 160× faster matmul and 230× faster tensordot on large tensors. • Optimized DeepSeek-v1 LLM inference performance using TensorRT LLM, achieving a 49.2% reduction in model’s size while achieving a 5x increase in inference speed (116 tokens/sec vs. 20 tokens/sec) on CNN summarization task, incurring only a 4.5% decrease in ROUGE Lsum Score • Developed a course-aligned RAG agent for a multi-agent buy-side financial analyst, enabling actionable insight extraction from financial resources via query-to-slide matching and voice-over search.
• Received PPO • Built a proof-of-concept multi-cloud interoperability layer enabling AWS DynamoDB SQL APIs (CRUD + Query) to run seamlessly on Azure Cosmos DB, requiring no client-side code changes. • Achieved P99 latency within 3.9% and average latency within 9.3% of native DynamoDB by designing a low-latency request translation pipeline with signature-based authorization, despite an additional network hop.
Worked under Prof. Debasis Ganguly on a research project titled "Exploring the Role of Diversity in Example Selection for In-Context Learning", which has been accepted in the Short Papers track at ACM SIGIR 2025 (A*) Conference.
Built and deployed the DocuTalk Chatbot, a document-based conversational AI chatbot leveraging LangChain, a fine-tuned LLaMA2, and PyTesseract OCR, complete with a Streamlit frontend and Flask APIs, validated through Postman.