🎓 Internships & Research Experience

🤖 AI Engineer Intern – Vision LLM

IdeaBoxAI
Jun 2025 – Jul 2025 • Cary, NC
Agentic AI

Agentic AI for Split-Liability Motor Claims

  • Prototyped multi-agent LLM system automating liability analysis with RAG
  • Analyzed multi-modal evidence (video, PDFs, audio) with structured chains
  • Implemented orchestration with LangChain/LangGraph; evaluation harnesses
Tech & Hardware: LLM, RAG, Multi-modal AI, LangChain, LangGraph

🔬 Research Project Internship

KLE Technological University
Aug 2020 – Feb 2021 • Hubballi, IN
Research

UIE-Net: Underwater Image Enhancement Network

Designed a GAN-based deep learning model for underwater robotics focusing on color correction, clarity improvement, and tint removal. Trained on underwater and above-water datasets, achieving 60–75% visibility improvement.

Tech: GANs, PyTorch, TensorFlow
  • Publication accepted at GC-RDCT-21 (not published due to personal reasons)

🏛️ Project Trainee Intern

Indian Institute of Technology Delhi (with AIIMS Delhi)
Jun 2019 – Jul 2019 • New Delhi, IN
Medical CV

Vision-Based Micro Suturing Assessment

  • Built automated AI-driven surgical micro-suturing assessment tool
  • Developed vision techniques for neurosurgical training quality evaluation
Tech: Computer Vision, Deep Learning, Medical Imaging

These internship experiences provided the foundational knowledge and practical skills that shaped my career in computer vision. The combination of academic research rigor and industry product development gave me a unique perspective on applying AI to solve real-world problems.