Shashwat Mani Tripathi
Computer Vision & AI Enthusiast | Building Real-World Solutions
Hyderabad
shashwatmani201@gmail.com
I'm passionate about technology and building practical solutions to real-world problems. My interests include artificial intelligence, computer vision, automation, and software development. I enjoy exploring new technologies, solving challenging problems, and turning ideas into working systems. I'm particularly interested in applying AI and computer vision to real-world applications. I'm looking forward to connecting with developers, learning from the community, sharing ideas, and exploring new opportunities at DevFest Hyderabad 2026.
Computer Vision AI Engineer
NAVA Software Solutions
- NVIDIA DeepStream & Triton:
- Integrated AI models for GPU-accelerated, real-time video analytics across 1,500+ cameras.
- Mr.Vision Platform:
- Developed an end-to-end annotation and model-training platform with SAM-assisted labeling and dataset quality checks.
- Poultry Project:
- Implemented computer vision solutions for biosecurity, feed monitoring, curtain and lighting detection, mortality detection, and egg inventory counting.
- Yard Management Project:
- Worked on computer vision solutions for yard monitoring and operational automation.
- Model Fine-Tuning:
- Fine-tuned YOLOX, ICE, ANPR, and OCR models for object detection, number plate recognition, and text extraction.
- Deployment & Optimization:
- Worked with ONNX, PyTorch, OpenCV, Docker, Kubernetes, and Kafka for scalable AI inference and deployment.
Mr.Vision, an end-to-end computer vision platform integrating video processing, SAM-assisted annotation, dataset analysis, quality validation, and automated model training and evaluation, with exports in YOLOX, COCO, and Pascal VOC formats.
Developed a multi-agent HR automation system featuring specialized agents for job description generation, resume screening, interview management, offer letter generation, onboarding, performance management, and HR policy Q&A using RAG, coordinated by an orchestration agent.
Developed a Nutrition RAG AI chatbot that delivers reliable, context-grounded nutrition answers using PDF-based knowledge retrieval, semantic search, and GPT-4o-mini, with source citations and fallback responses to reduce hallucinations.
B.Tech
Dr. APJ ABDUL KALAM TECHNICAL UNIVERSITY · 1st
HCL AI Doveloper
HCL
Nov 2025
Attendee · Oct 24, 2026