🏢 Work Experience
Professional Journey Overview
Computer Vision & AI engineer with 3+ years of hands-on experience across 3D reconstruction, ADAS, medical/underwater imaging, and emerging agentic LLM systems. Proven impact shipping GPU‑accelerated CV systems, distributed training pipelines, and robust production deployments.
📊 Career Statistics
🗓️ Career Timeline
AI Engineer Intern – Vision LLM
IdeaBoxAI • Jun 2025 – Jul 2025 • Cary, NC
Prototyped agentic AI for split‑liability motor claims with multi‑modal analysis and RAG using LangChain/LangGraph.
3D AI Lead Engineer
GPU.net (formerly brahmGAN) • Jun 2023 – Feb 2024 • Bengaluru, IN
Architected decentralized GPU training framework and parallelized text‑to‑3D / image‑to‑3D / video‑to‑3D pipelines.
Software Engineer – Computer Vision
Tooliqa Innovations LLP • Mar 2021 – Apr 2023 • Gurugram, IN
Built 360° video‑to‑3D pipeline; optimized sensor fusion, UV texturing, and point‑to‑camera projection (15× faster).
Research Project Internship
KLE Technological University • Aug 2020 – Feb 2021 • Hubballi, IN
UIE‑Net: GAN‑based underwater image enhancement (60–75% visibility improvement).
Project Trainee Intern
Indian Institute of Technology Delhi (with AIIMS) • Jun 2019 – Jul 2019 • New Delhi, IN
Vision‑based micro‑suturing assessment for neurosurgical training.
🎯 Core Competencies Developed
Technical Leadership
- Built and optimized GPU‑accelerated CV systems; mentored teammates on CV/LLM best practices
- Designed distributed training and data pipelines for scalable experimentation
Research & Innovation
- 3D reconstruction, photogrammetry, and SLAM; YOLO/OneFormer segmentation/detection
- Agentic LLM workflows with RAG; multi‑modal evidence analysis
Project Execution
- End‑to‑end delivery from prototyping to production deployments (edge and cloud)
- Domains: ADAS, 3D/AR, medical/underwater imaging, document/legal AI
📂 Experience Categories
🔗 Related Sections
- 🚀 Projects - Technical projects developed during work experiences
- 🛠️ Technical Skills - Skills acquired and honed through professional work
- 🏆 Certifications - Professional certifications earned during career progression
📈 Career Growth Metrics
| Metric | Internships | Junior Roles | Senior Roles |
|---|---|---|---|
| Team Size | Individual | 2-3 members | 5-8 members |
| Project Complexity | Research-focused | Product features | End-to-end systems |
| Budget Responsibility | N/A | 200K | $500K+ |
| Technology Stack | Academic tools | Production frameworks | Enterprise solutions |
| Impact Scale | Research papers | Department-level | Company-wide |
Each experience has contributed to building a comprehensive skill set in computer vision, machine learning, and technical leadership. The journey from research intern to senior engineer reflects continuous learning, adaptation, and contribution to the field of AI.