gRPC Embedding & LLM Serving Pipeline
Production gRPC infrastructure for text embeddings (rpcembed) and vLLM-based LLM serving, forming the AI inference stack that powers semantic search and RAG for agents at Accretional.
View Details →OpenVINO Go Bindings
Idiomatic Go bindings for Intel's OpenVINO Runtime, built for high-performance AI inference in production systems.
View Details →Founding Engineer - Infrastructure & Platform
Authored openvino-go (open-source Go/CGO inference library for Intel OpenVINO), built gRPC embedding and vLLM serving infrastructure, and engineered hybrid vector search for AI agents.
View Details →CT Denoising and Explainability using OT-CycleGAN
Adapted OT-CycleGAN for denoising ultra-low-dose CT scans with explainability features using Grad-CAM and attention visualizations
View Details →AI Engineering Intern
Built core features for Brilliant, an AI coding assistant. Worked on RAG pipelines, LLM fine-tuning, and the extension's prompt and deployment systems.
View Details →Academic Lecture Video Summariser
LLM and RAG-based system for summarizing long-form academic videos
View Details →Whispers of the Heart - AI Therapy Assistant
Python-based conversational AI system for journaling and therapeutic assistance
View Details →Senior Machine Learning Scientist
Led ML initiatives for real-time loan processing. Built A/B testing frameworks and optimized system performance at scale.
View Details →Master of Science
Focused on machine learning and AI, particularly medical imaging applications. Research includes CT scan denoising and AI explainability. GPA: 3.9
View Details →GeneWeaver
A parametric hardware generator for DNA sequence alignment implemented in Scala
View Details →Machine Learning Scientist
Optimized ML inference pipelines from 200ms to 80ms through quantization and caching. Built LSTM forecasting models and production systems handling 1M+ requests/month at 99.9% uptime.
View Details →Machine Learning Research Intern
Built LSTM-based sentiment analysis pipelines for social media data. Applied model pruning and quantization techniques for efficient deployment.
View Details →Bachelor of Technology
Focused on machine learning and AI, with research in medical image analysis including published work on prostate cancer grading. GPA: 9.4 (Honors)
View Details →