Technical Arsenal
GenAI & LLMs
- Large Language Models (LLMs)
- Multi-Agent Systems & Orchestration
- RAG (Retrieval-Augmented Gen)
- Prompt Engineering (CoT, Few-Shot)
- Model Evaluation (Ragas, DeepEval)
Frameworks & Tools
- LangChain & LangGraph
- Vector DBs (Pinecone, ChromaDB)
- Hugging Face Transformers
- PyTorch & TensorFlow
- OpenAI & Anthropic APIs
Engineering & Cloud
- Python (Expert), Go, Java, C++
- Distributed Systems (Kafka)
- REST API & Microservices
- AWS (SageMaker, Lambda)
- SQL & Data Engineering
Work Experience
Research Assistant – AI & ML Systems
AIM Lab, Santa Clara University (Lab Website) | July 2025 – Present
- Architected a Multi-Agent GenAI system using Qwen2.5-7B-Instruct-1M and Hugging Face Transformers for high-quality QA extraction from long-form videos.
- Designed production-grade RAG pipelines incorporating BGE-M3 vector embeddings, semantic chunking, and agentic routing to optimize context retrieval precision.
- Developed prompt engineering workflows with system prompts, evaluation filters, and iteration loops to improve relevance and reduce hallucinations.
- Implemented Python-based agents for chunking, routing, and automated evaluation, focusing on minimizing inference latency and maximizing output accuracy.
- Authored Beyond Factual QA: Mentorship-Oriented Question Answering over Long-Form Multilingual Content, detailing a novel framework for introducing a multi-agent framework that automates theextraction of in-depth mentorship insights from video transcripts, which outperforms single-agent baselines.
- Publication: Beyond Factual QA: Mentorship-Oriented Question Answering over Long-Form Multilingual Content (2026). Read Paper | View Code
Software Engineer
SCU Frugal Innovation Hub, Santa Clara University (Lab Website) | May 2025 – January 2026
- Developed production-ready application features with backend integration via REST APIs.
- Implemented search, multilingual text-to-speech, and quiz workflows with modular, scalable design.
- Collaborated cross-functionally to translate product requirements into deployable features and debug issues across UI and API layers.
- View Code
Software Development Engineer
ICICI Lombard GIC Ltd. | August 2022 – August 2024
- Built and maintained Python and SQL-based data pipelines supporting enterprise analytics platforms.
- Integrated real-time data feeds and optimized transformations, reducing insight latency by 30%.
- Worked with distributed data systems and relational databases to ensure reliability and correctness in production.
Technology Intern
ICICI Lombard GIC Ltd. | February 2022 – August 2024
Developed internal tools and dashboards using Power BI, SQL, and Dynamics 365, improving data quality and reducing manual errors by 20%.
Research Intern
Manipal Institute of Technology | July 2021 – August 2021
Conducted a structured literature review on EEG-based emotion recognition, analyzing machine learning techniques and experimental methodologies.
Education
Master of Science in Computer Science
Santa Clara University, CA
Sept 2024 – June 2026
GPA: 3.81 / 4.0
Bachelor of Technology in Electronics and Communication
Manipal Institute of Technology, India
Minor: Fundamentals of Computing
July 2018 – Aug 2022
GPA: 3.84 / 4.0
Key Projects
Newslet: Distributed Pub/Sub
Event-driven system built with Go, Kafka, and AWS utilizing gossip protocol.
View on GitHub →Deep Learning Knee Arthritis Detection
Computer vision pipeline using InceptionV3 with attention mechanisms in TensorFlow.
View on GitHub →