About

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

Experience1

1. RS

   AI Intern

   May 2026 — Present

   Robro Systems

   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.

Projects3

• 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%.

  • FastAPI
  • LangGraph
  • FAISS

• 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.

  • PyTorch
  • TensorRT
  • OpenCV

• 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.

  • MediaPipe
  • LSTM
  • OpenCV

Education1

• AI

  B.Tech in Computer Science and Engineering (AI and ML)

  2022 — 2026

  Acropolis Institute of Technology and Research (AITR)