P S Suryanarayanan

Computer Science graduate with experience across machine learning, computer vision, and full-stack Python development.

Built and shipped three real internship projects: a PyTorch leaf disease detection system with a custom attention model, a Django web app with four live API integrations, and a face recognition attendance system at an IOC refinery. Comfortable working across deep learning pipelines, relational databases, and REST APIs, depending on what the problem needs.

Data Science Intern at ATEES Global (2025-11 – Present)

• Independently designed and implemented AttCM-AlexNet from scratch in PyTorch, integrating channel, spatial, and self-attention blocks.
• Deployed the complete inference pipeline on Streamlit, handling image preprocessing and confidence score generation in one flow.
• Integrated real-time weather APIs to supply disease-specific remedies and field advisories based on current environmental conditions.

Full-Stack Web Developer Intern at Grapesgenix Technical Solutions Pvt Ltd. (2025-06 – 2025-07)

• Built MyMovieList, a Django web app where users track, rate, and review movies, anime, series, and comics, i.e., all on one platform.
• Wired in four external APIs (TMDB, Jikan, Kitsu, Comic Vine) simultaneously to fetch live posters, ratings, and metadata per content type.
• Handled user auth end-to-end: registration & login, session management, password hashing, and a custom profile dashboard.
• Modelled the SQLite database with Django ORM using content inheritance to cleanly support multiple media categories without redundant tables.

Python Developer Intern at Indian Oil Corporation Limited (2024-12 – 2025-01)

• Built a face recognition attendance system using OpenCV's LBPH algorithm to eliminate manual tracking and proxy entries during any live Toolbox Talk sessions at IOC Gujarat Refinery.
• Automated employee verification end-to-end using computer vision, replacing manual roll calls and eliminating proxy attendance during plant safety briefings.
• Designed the Tkinter desktop UI simple enough that floor workers could register, check logs, and navigate without any training.

Bachelor of Technology in Computer Science Engineering – GSFC University, Vadodara, Gujarat, India (2022-10 – 2026-06)

12th CBSE – Kendriya Vidyalaya No 1 AFS Jamnagar, Gujarat, India (2022-07)