Work Experience

Data Science Intern (Applied-AI)

CORSAIR · Milpitas, CA

Tech: Agentic AI, Multi-Agent Systems, LLM/VLM, RAG, multimodal parsing, BGE dense retrieval, BCE training, LambdaMART, LLM pairwise judging, learning-to-rank

• Multi-Agent Multimodal Design Review Platform — Built a production Agentic AI / Multi-Agent platform using text + vision LLM/VLM agents, RAG, multimodal parsing, and brand-specific knowledge bases for automated design review and compliance checking.
• Developed multimodal analysis across visual layouts, images, branding, typography, and text, with agent orchestration, retrieval, automated reporting, authentication, live request tracking, and brand-specific routing; reduced review effort from ~32 hrs/month to 20–25 mins/month (>95%) and cut handoff time by ~3–5 days.
• AI E-Commerce Cross-Sell & Up-Sell Recommendation System — Developed a multi-stage recommendation and learning-to-rank pipeline with candidate generation, BGE dense retrieval, BCE-trained positive/negative pairs, LambdaMART, LLM pairwise judging, re-ranking, and compatibility guardrails.
• Built intent/category mapping, hard-negative filtering, thresholding, and regional maps; achieved ~80% Recall@5 vs. ~2% baseline recall, evaluated with Recall@K and NDCG@K.

Research Assistant – AIM Lab

Santa Clara University · Santa Clara, CA

Tech: Python, PyTorch, CUDA, multi-GPU optimization, multimodal datasets, AI agent frameworks

• Developing AI agents for advanced multimodal research, integrating image, text, and video understanding tasks.
• Designed and implemented chunking algorithms to efficiently preprocess and manage large multimodal datasets.
• Researching and prototyping optimized deployment strategies for sequential and parallel AI agents across multi-GPU systems, improving scalability and throughput.

Teaching Assistant – Algorithms

Santa Clara University · Santa Clara, CA

Tech: C++, Python, Data Structures & Algorithms, Teaching & Mentorship

• Assisting in teaching Algorithms course to undergraduates, covering fundamental and advanced topics in design and analysis.
• Conducting recitation sessions and problem-solving workshops to reinforce theoretical concepts with practical coding exercises.
• Supporting students through office hours, one-on-one mentoring, and providing feedback on assignments and projects and grading.
• Collaborated with faculty to create teaching materials and practice problems, improving student exam preparedness.

Software Automation Developer

Santa Clara University · Santa Clara, CA

Tech: Workday, Python, ELK Stack (Elasticsearch, Logstash, Kibana), AWS, JavaScript/HTML/CSS

• Built automation scripts for Workday client processes, streamlining student enrollment and salary calculations and reducing administrative effort.
• Implemented structured logging with the ELK Stack, introducing correlation IDs and custom middleware for request tracking, improving end-to-end traceability and cutting issue resolution time by 60%.
• Developed and maintained frontend components for SCU websites, enhancing UI/UX design and creating new pages for academic and administrative use.

Research Assistant – HASO Labs

Santa Clara University · Santa Clara, CA

Tech: Python, CLIP, Mediapipe, CUDA, AWS (Lambda, SQS, API Gateway), GPU optimization

• Designed and implemented a GPU-optimized video processing pipeline using Python, CLIP, and Mediapipe for a 300GB+ dataset.
• Parallelized frame-level operations, reducing vector embedding generation time from 50+ hours to ~21 hours.
• Deployed trained models on AWS cloud, integrating SQS queues, Lambda, and API Gateway for scalable query handling.
• Delivered an end-to-end system optimized for Meta VR headset integration, improving latency and reliability of video-based research tasks.

Teaching Assistant – Data Structures & Algorithms

Ramdeobaba University · Nagpur, India

Tech: Java, Swing UI, server programming, OOP, Agile

• Taught core Data Structures and Algorithms, from arrays and linked lists to advanced graphs and heaps, using Java.
• Guided students in Object-Oriented Design Principles and project development with Swing UI and server-based programming.
• Supervised Low-Level Design (LLD) projects, emphasizing clean code and real-world applicability.
• Trained students on Software Engineering principles and Agile methodologies, bridging theory with practice.

Research Assistant

Ramdeobaba University · Nagpur, India

Tech: PyTorch, TensorFlow, Python, multi-GPU training, YOLO models

• Explored advanced PyTorch and TensorFlow methods for image processing and performance optimization across varied compute setups.
• Developed automation scripts to manage multi-GPU training pipelines, enabling efficient large-scale dataset experiments.
• Optimized YOLO models for hand-sign detection, producing best-performing weights and benchmarking accuracy improvements.
• Co-authored a paper in the SSRN Journal with 700+ downloads and multiple citations, highlighting reproducible results.
• Open-sourced all model weights and source code, contributing a valuable resource to the research community.

Machine Learning Intern

Innovative Technologies · New Delhi · Internship

Tech: Python, scikit-learn, NumPy/Pandas, signal processing, XML automation, deployment

• Researched and trained ML models for 3-lead ECG rhythm prediction, achieving ~93% accuracy with medically graded sensor integration.
• Contributed to a novel 3-lead ECG dataset, including collection standards and labeling guidelines.
• Built XML automation pipelines for data extraction and preprocessing to accelerate experimentation.

Systems Programmer Intern

ECDS · Nagpur, MH, India · Internship

Tech: C++, custom libraries, IoT, system performance optimization

• Developed C++ libraries for system software, optimizing hardware–software interaction.
• Reduced IoT transfer latency from 5–7s to milliseconds, drastically improving end-to-end system performance.