👋 Hi There!
I'M SUKESH S T
Specializing in Generative AI, Agentic AI, and Machine Learning — building production-ready intelligent systems with LLMs, LangGraph, RAG, and modern AI frameworks.
My Projects
Here's what I've been building — from multi-agent AI systems to real-time computer vision
The Problem
Enterprise teams need comprehensive research reports, but manually gathering, analyzing, and synthesizing information from multiple sources is extremely time-consuming and inconsistent.
The Goal
Build an intelligent, multi-agent AI system that automates the entire research pipeline — from planning queries to generating polished, cited reports — with human oversight at critical decision points.
How I Built It
Engineered a stateful, multi-agent pipeline using LangGraph, orchestrating Planner, Researcher, Extractor, Writer, and Reviewer agents. Implemented Human-in-the-Loop (HITL) checkpointing for dynamic re-routing. Developed concurrent async tool-calling across Tavily, Arxiv, and Wikipedia. Deployed on Hugging Face Spaces via FastAPI, SQLite, and Docker.
The Impact
Delivered a fully autonomous research system that generates comprehensive, multi-source reports with source attribution. Human-in-the-loop feedback ensures research quality while reducing manual effort by 80%+.
The Problem
Employees at Flex struggled to quickly find relevant information across hundreds of corporate policy documents, leading to compliance risks and wasted time.
The Goal
Create an AI-powered chatbot that enables natural language querying of corporate policy documents with accurate, source-attributed responses in real time.
How I Built It
Built a RAG pipeline using LangChain, ChromaDB, and SentenceTransformers for semantic search across policy documents. Developed a ChatGPT-style web interface with FastAPI backend, real-time similarity search, and markdown-rendered responses. Deployed as a Dockerized app on Hugging Face Spaces with Groq-hosted LLaMA 3.1 for low-latency inference.
The Impact
Created a production-ready chatbot with sub-second response times, source document attribution, and 95%+ answer relevance. Reduced policy lookup time from minutes to seconds.
Scratch & Dent Detection System
AI-Powered Visual Quality Control
The Problem
At Flex Pvt Ltd, manual visual inspection of manufactured parts for scratches and dents was slow, inconsistent, and costly — leading to quality control bottlenecks on the production line.
The Goal
Develop an automated defect detection system that identifies scratches and dents in real-time using computer vision, reducing dependence on manual inspection.
How I Built It
Built a detection system using YOLOv11, Python, and OpenCV. Trained custom object detection models on labeled defect datasets. Implemented real-time image processing pipelines for continuous quality monitoring on the factory floor.
The Impact
Reduced manual inspection time by 40% via AI-driven quality control. Achieved real-time defect identification with high precision, enabling faster production throughput.
Face Authentication System
🏆 1st Place — Internal Smart India Hackathon
The Problem
Traditional password-based authentication systems are vulnerable to phishing, brute-force attacks, and credential theft. Organizations needed a more secure, frictionless authentication method.
The Goal
Design and build a secure facial authentication system that provides reliable identity verification with anti-spoofing capabilities for the Internal Smart India Hackathon.
How I Built It
Designed a multi-layer facial authentication pipeline using Python, YOLO for face detection, and OpenCV for feature extraction. Implemented advanced recognition algorithms with liveness detection to prevent spoofing attacks.
The Impact
Won 1st Place at the Internal Smart India Hackathon. Delivered a robust authentication system with high accuracy and real-time performance suitable for enterprise deployment.
Know Who I Am
A passionate AI/ML Engineer from Chennai, India
I'm Sukesh S T, an AI/ML Engineer specializing in Generative AI, Agentic AI, and Machine Learning. Currently pursuing my B.E. in Computer Science at Vel Tech Engineering College, Chennai with a CGPA of 8.15/10.
I'm passionate about building production-ready intelligent systems using LLMs, LangGraph, RAG, and modern AI frameworks. From designing multi-agent research pipelines to real-time defect detection systems, I thrive on turning cutting-edge AI research into scalable, real-world solutions.
When I'm not coding, I enjoy exploring new AI research papers, contributing to open-source projects, and solving problems on LeetCode.
B.E. Computer Science
Vel Tech Engineering College
2022 — 2026 | CGPA: 8.15ML Intern — Flex Pvt Ltd
YOLOv11 Defect Detection
Jan 20251st Place — Internal SIH
Face Authentication System
2024What I Do
Generative AI & LLMs
Building intelligent applications powered by Large Language Models, prompt engineering, and fine-tuning for domain-specific use cases.
Agentic AI Systems
Designing multi-agent pipelines with LangGraph — coordinating Planner, Researcher, and Writer agents with human-in-the-loop workflows.
Computer Vision & ML
Developing real-time detection and recognition systems using YOLOv11, OpenCV, and classical machine learning algorithms.
Full-Stack AI Applications
End-to-end AI product development with FastAPI backends, modern web frontends, Docker deployments, and cloud infrastructure.
Tech Stack
Languages
AI / ML
Databases
Web & APIs
Tools & Platforms
CRM
My Resume
Education, experience, and qualifications
Career Objective
AI/ML Engineer specializing in Generative AI, Agentic AI, and full-stack AI applications. Experienced in building production-ready intelligent systems using LLMs, LangGraph, RAG, and modern AI frameworks, with a strong focus on scalable, real-world solutions.
Education
Bachelor of Engineering in Computer Science
CGPA: 8.15/10Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala Engineering College, Chennai
2022 — 2026
Relevant Coursework: Data Structures, Algorithms, Machine Learning, DBMS, Networks, OOAD
Higher Secondary Education (HSC)
74.83%SRKBVMHSS, Kulasekharam, Kanniyakumari
2022
Internship
Machine Learning Intern @ Flex Pvt Ltd
6 Jan — 20 Jan 2025
- Built Scratch and Dent Detection System using YOLOv11, Python, and OpenCV
- Reduced manual inspection time by 40% via AI-driven quality control
- Implemented real-time image processing for defect identification
Certifications
Salesforce Platform App Builder
Simplilearn
Aug 2025AWS Certification
Prepsinsta
2025Matlab Onramp
MathWorks
2024