Open to AI/ML engineering roles & research

Anandha Prasad S

AI / ML Engineer

Computer Science Engineering student specializing in AI & Machine Learning, focused on computer vision, deep learning research and applied backend systems. Currently researching SAR ship detection with YOLO-based architectures, and building agentic RAG systems and LLM-integrated products with FastAPI, LangChain, and LangGraph.

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Profile

About

I'm a Computer Science Engineering student specializing in AI & Machine Learning at Sri Sai Ram Engineering College, currently in Semester 7 with a CGPA of 8.30/10 through six semesters.

My interests center on computer vision, deep learning, generative AI and agentic RAG systems, and the backend systems that hold applied AI products together. I currently research SAR ship detection using YOLO-based architectures, and I build end-to-end systems — from model training to FastAPI, LangChain, and LangGraph-backed deployment.

I hold a published Indian patent for an AI-enabled robotic ultrasound stabilizer designed for rural maternal healthcare, and I've placed and won prizes in national and international hackathons focused on applied AI solutions.

0 CGPA · Sem 1–6
0 Current Semester
0 Patent Published
0 Research & Internships

Timeline

Experience

  1. Featured

    AI Research Intern — AI & Deep Learning

    Jun 2026

    National Institute of Technology, Puducherry (NIT-PY)

    Researched SAR ship detection, training and evaluating YOLOv5, YOLOv8n and YOLOv11 models on the SSDD and SAR-Ship Detection datasets. Applied a physics-informed preprocessing pipeline — Lee Filter, log normalization and CA-CFAR — ahead of detection. Benchmarked results against existing base papers, reaching roughly 97% detection accuracy with YOLOv5 on SSDD, outperforming reported baselines. Findings are currently being prepared for publication as a research paper through NIT Puducherry.

    YOLOv5 YOLOv8 YOLOv11 SSDD Dataset SAR-Ship Dataset

  2. App Development Trainer & Mentor

    Jan & Jul 2025

    Sairam Techno Incubator Center

    Completed structured training in mobile app development using Figma and MIT App Inventor, then mentored school students as an Atal Tinkering Lab instructor in app design, prototyping and simulation tools.

    Figma MIT App Inventor

Builds

Projects

AI Research Copilot

FastAPI · LangGraph · Per-user RAG

Featured

A FastAPI research assistant that routes every question through a LangGraph state machine, deciding per-query whether to answer from the active PDF's FAISS index, fall back to a DuckDuckGo web search, or blend both into a hybrid response. Each logged-in user gets an isolated document store and vector cache under data/users/<username>, so multiple people can run separate knowledge bases against the same backend without their context bleeding into each other. Runs on Groq for inference, HuggingFace for embeddings, with a vanilla-JS frontend for upload, document switching, and chat served directly off FastAPI.

FastAPI LangGraph LangChain FAISS Groq HuggingFace Embeddings
View on GitHub

Zynxo — Disaster Response Coordination Platform

Build2Gether · 9th Place · Cash Prize

Featured

Built a disaster response coordination platform with an LLM-backed triage system for prioritizing emergency incidents, powered by a FastAPI backend for real-time coordination between response teams.

FastAPI LLM Integration Real-time Coordination
View on GitHub

SAR Ship Detection Research

Lightweight YOLO Architectures

Physics-informed SAR preprocessing pipeline — Lee Filter, log normalization, CA-CFAR — feeding YOLOv5, YOLOv8 and YOLOv11 models trained on the SSDD and SAR-Ship datasets. Achieved 96.95%+ mAP50 on SSDD and 87.80%+ mAP50 on SAR-Ship.

YOLOv5/v8/v11 SSDD SAR-Ship Dataset
View on GitHub

Automated AI Ultrasound Robot

Patent-based Project

A 5-DOF robotic arm for autonomous ultrasound scanning, combining computer vision and deep learning for feature detection and image acquisition, with intelligent trimester-specific detection targeting deployment in rural and low-resource healthcare environments.

Computer Vision Deep Learning Healthcare

Healthcare AI Solution — Solveathon 4.0

SDG Hackathon · First Prize

Designed and delivered a scalable AI solution in the Good Health & Well-Being SDG domain within a 24-hour hackathon at Sri Sai Ram Engineering College, earning first prize.

Healthcare AI SDG 3

Stack

Skills

Programming

Python Java SQL C

Generative AI & LLMs

Large Language Models Generative AI Agentic AI RAG Prompt Engineering

AI & Computer Vision

TensorFlow Keras YOLO OpenCV CNN Deep Learning Machine Learning Computer Vision

Frameworks & Backend

LangChain LangGraph FastAPI Flask REST APIs

Retrieval & Vector Search

FAISS Vector Databases Embeddings Semantic Search Hybrid Search

Tools & Platforms

Git GitHub Docker Figma MIT App Inventor Render Groq API Roboflow

Frontend

HTML CSS JavaScript Flutter

Signal

Achievements

Published Indian Patent

Robotic ultrasound probe stabilizer for rural maternal health, published under the Indian Patent Office.

NIT Puducherry Research Intern

AI & Deep Learning research intern working on SAR ship detection with YOLO-based architectures.

9th Place — Build2Gether

International AI hackathon hosted at Sri Sai Ram Engineering College, in collaboration with ETH Zürich and supported by NTU Singapore.

Solveathon 4.0 Winner

First prize in the Good Health & Well-Being SDG domain at Sri Sai Ram Engineering College.

NPTEL Silver Medalist

Silver medal — Human Computer Interaction, NPTEL certification program.

DeepLearning.AI Certificate

Deep Learning Specialization, completed via Coursera.

Background

Education

In progress · Sem 7

B.E. Computer Science Engineering — AI & ML

Sri Sai Ram Engineering College, Chennai

Specializing in artificial intelligence and machine learning, with coursework in deep learning, computer vision and applied systems engineering.

8.30CGPA · Sem 1–6
2023–27Duration
Completed

Higher Secondary Certificate

St. Thomas Matriculation Higher Secondary School, Chennai

PCM with Computer Science.

87.16%HSC Score
2016–23Duration

Get in touch

Let's build something worth shipping.

Open to AI/ML engineering roles, research collaborations, and teams building applied computer vision or LLM-backed products.

anandhaprasads@gmail.com +91 99412 02906 github.com/Anandhaprasad18 linkedin.com/in/anandhaprasad Live Portfolio