Projects

A collection of AI/ML projects spanning computer vision, natural language processing, and systems engineering.

FeaturedArtificial Intelligence

Multi-Agent Machine Learning Studio

Built an agentic machine learning platform that allows users to analyze datasets, generate visualizations, and train models using natural language. By integrating LLMs with MCP servers, the system autonomously selects and executes data analysis, visualization, and ML tools to streamline the entire machine learning workflow.

Multi-Agent SystemsMCPLLMML

FeaturedNLP

LLM Fine-tuning Pipeline

Built a comprehensive pipeline for efficient LLM fine-tuning using LoRA adapters and 4-bit quantization. Supports multiple model architectures and includes automatic hyperparameter tuning.

LLMsPythonCUDALoRA

Computer Vision

Real-time Object Detection

Edge-optimized object detection system achieving 60fps on embedded devices. Uses TensorRT for inference optimization.

fps

45.2

mAP

16ms

latency

TensorRTYOLOEdge AIC++

NLP

Multimodal RAG System

Retrieval-augmented generation combining text, images, and structured data for accurate question answering.

89%

accuracy

200ms

latency

1M+

docs

RAGVector DBEmbeddingsLangChain

MLOps

Distributed Training Framework

Custom distributed training framework supporting data and model parallelism for training large neural networks.

100+ GPUs

scaling

92%

efficiency

Auto-recovery

fault

PyTorchDistributedMLOpsNCCL

Deep Learning

Neural Style Transfer App

Real-time neural style transfer application with custom styles and video support.

50+

styles

fps

iOS/Android

platforms

TensorFlowMobileComputer Vision