About Me
AI Engineer specializing in Generative AI, Multi-Agent Systems, Computer Vision, and production-scale AI deployment, with hands-on experience building RAG pipelines, agentic workflows, LLM fine-tuning systems, and optimized inference engines
Skills & Technologies
Work Experience
AI Intern
Engineered production-grade RAG pipelines using Qdrant for scalable semantic retrieval. Designed and deployed multi-agent AI workflows with NVIDIA NemoClaw for task routing and automation. Integrated Python, MySQL, and CI/CD workflows for deployment and maintenance of AI services.
Projects
FinDoc: Multi-Agent Financial Risk Analysis System
Designed FastAPI endpoints handling concurrent document queries at production scale, processing 300-page financial PDFs efficiently and improving compliance risk detection recall by 37%.
RT-DETR: TensorRT C++ Inference Pipeline
Architected an end-to-end object detection pipeline with optimized inference latency and validated deployment on COCO128, designed to scale to full MS COCO.
SAARTHI1-7: ISL Translation System
Developed a real-time Indian Sign Language translation system achieving 74% accuracy on continuous gesture streams and published a patent application for the translation architecture.
Education
B.Tech in Computer Science and Engineering (AI and ML)
Computer Science