Headline

B.Tech CSE | Full-Stack Developer | AI/ML & Computer Vision | React, Next.js, Node.js, Python | Former AI/ML Trainee @Tardid Technologies | Building Applied AI Products

About

B.Tech in Computer Science at VIT | Full-Stack & AI Enthusiast Skilled in Python, Web Development (HTML, CSS, JavaScript, React) with a strong focus on Computer Vision & Applied AI. I’ve built and deployed projects like: SubSpace – AI-powered authentication & chat platform with Supabase/Nhost, HuggingFace, and n8n automation. AdMyBrand AI Suite – GPT-4 driven marketing automation platform reducing content creation time by 70%. SportMate – Social app connecting athletes with live match stats & real-time updates. MedBot – AI medical knowledge assistant using RAG pipeline with Pinecone + LangChain. Interests: Full-stack development, AI/ML applications, and cloud-based scalable solutions. Goal: To innovate at the intersection of AI and real-world systems by building intelligent, secure, and user-friendly applications.

Location

Bengaluru

AI stack

anthropic apis

antigravity

claude code

claude

codex

cursor

Work experience

Artificial Intelligence Engineer Trainee at TARDID Technologies Pvt Ltd, Feb 2026 - Aug 2026 · 7 mos, Bengaluru, • Develop AI-powered computer vision solutions for real-time surveillance and perception systems. • Design and optimize object detection, tracking, and feature matching pipelines using deep learning models. • Build scalable backend services and REST APIs using Python and FastAPI for AI applications. • Work with OpenCV, PyTorch, and transformer-based vision models including DINOv2 for visual understanding. • Process video streams, RTSP feeds, and sensor data for real-time analytics and monitoring. • Improve model accuracy and inference performance through optimization and experimentation. • Collaborate with cross-functional engineering teams to deploy AI solutions in production environments. • Contribute to software development, debugging, testing, and continuous improvement of AI systems.

Full Stack Intern at OpenBiz, Aug 2025 - Feb 2026 · 6 mo, Bengaluru

Computer Vision Intern at TARDID Technologies Pvt Ltd, Aug 2023 - Oct 2023 · 3 mos, Bengaluru, Karnataka, India, Interned on an Indian Navy project involving data extraction, classification, and annotation; worked on image/video enhancement, ship tracking, and position estimation; conducted research on SPAD and AOD using CNNs.

Education

Bachelor of Technology, Computer Engineering, Vellore Institute of Technology

Higher secondary, Computer Science, india international school

Public links

github: https://github.com/SarthakRoy-1

sarthakroypf.netlify.app: https://sarthakroypf.netlify.app/