Logesh S
AI Developer | Generative AI, RAG & AI Optimization | Python • Machine Learning • Data Analytics | Supply Chain & Warehouse AI
Bengaluru
1+ year of work experience
Jul 20263 mosPresent
Banglore
Currently contributing to the development of AI-powered solutions for warehouse operations, middle-mile optimization, replenishment planning, and intelligent warehouse design, with a focus on diagnostics, optimization, 3D visualization, and AI-assisted decision support.
🔹 FnV Warehouse Diagnostic Developing a warehouse diagnostic framework to evaluate operational performance, process standardization, cost sensitivity, quality, capacity, and utilization, while identifying operational gaps and generating data-driven improvement recommendations.
🔹 MM + Replenishment Diagnostic Developing a middle-mile and replenishment diagnostic platform to analyze replenishment requirements, dispatch planning, vehicle and crate utilization, capacity constraints, transportation costs, and operational trade-offs, with AI-assisted recommendations for optimization.
🔹 3D WH Maker Developing an AI-powered warehouse layout generation platform that converts warehouse dimensions, operational requirements, process flows, and spatial constraints into optimized 2D/3D warehouse layouts, incorporating flow-based zone placement, storage planning, and operational visualization.
Key Focus: Contributing to the development of an integrated AI-driven supply chain optimization ecosystem covering warehouse diagnostics, middle-mile & replenishment optimization, and intelligent 3D warehouse design.
Jul 20263 mosPresent
Erode
Nov 20253 mosJan 2026
Remote
Developed an AI-powered sustainable packaging recommendation engine designed to evaluate product metrics and recommend eco-friendly packaging alternatives using machine learning and web technologies.
🔹 Sustainable Packaging Recommendation Engine Engineered machine learning models to analyze product dimensions, fragility, and material requirements, automatically predicting and recommending optimal eco-friendly packaging solutions.
Implemented automated scoring algorithms to evaluate packaging sustainability based on carbon footprint, recyclability, and cost-efficiency metrics.
Integrated data processing pipelines to handle product catalogs and map them against sustainable material databases for accurate matching.
🔹 Backend Architecture & Database Integration Developed robust backend services using Flask to expose RESTful APIs for real-time packaging evaluation and recommendation retrieval.
Designed and integrated a PostgreSQL database schema to store product details, material specifications, and historical recommendation logs securely.
Containerized application components and structured modular codebases to ensure maintainability, testability, and clean separation of concerns.
Key Impact: Delivered an intelligent recommendation platform that helps businesses minimize environmental impact by identifying viable sustainable packaging options through data-driven insights.
Oct 20257 mosApr 2026
Tirupur
Contributed as the Founder and Developer at Stealth Startup, spearheading end-to-end project execution, technical architecture, client management, and content creation for custom AI and web solutions.
🔹 Project Management & Client Relations Led end-to-end project lifecycles from initial client discussions and requirement gathering to final product delivery and deployment.
Handled direct client communications and strategic alignment, translating business needs into structured technical roadmaps and milestones.
Managed project timelines, resource allocation, and overall execution to ensure high client satisfaction and successful delivery.
🔹 Technical Architecture & Content Development Designed and developed robust full-stack applications and AI-powered solutions handling both backend logic and frontend integration.
Created and structured technical and business content, including documentation, product copy, and workflow specifications to support client solutions.
Architected modular APIs, managed database schemas, and oversaw deployment workflows to maintain application reliability.
✅ Key Impact: Successfully bridged business requirements and technical execution by managing clients, developing core solutions, and driving projects from concept to deployment.
May 20254 mosAug 2025
Tamil Nadu, India
Contributed as an AI Intern to the development of computer vision solutions and real-time tracking systems, with a focus on human-computer interaction and deep learning applications.
🔹 Real-Time Computer Vision & Tracking Developed a real-time gaze tracking system that maps head pose and eye movement into precise 2D screen coordinates using a deep learning model (GazeLSTM).
Implemented angular-to-screen projection from yaw and pitch with dynamic Field of View (FOV) adjustment to support full-screen gaze mapping.
Integrated One Euro Filter for smooth gaze signal stabilization and applied robust face detection using OpenCV’s Haarcascade classifier.
🔹 System Integration & UI Designed a lightweight, transparent UI overlay using Tkinter to visualize gaze points as a dynamic red dot tracking user eye movements across the screen in real time.
Optimized inference pipelines for smooth local execution and reliable frame-rate performance during continuous webcam input streams.
Key Impact: Delivered an intuitive, high-accuracy eye gaze tracking pipeline, enhancing interactive UI capabilities and laying the groundwork for advanced attention-analytics use cases.
Logesh’s AI Stack
Education
B.Tech, Artificial Intelligence and Data Science
Kangeyam Institute Of Technology
20224 yrs2026
HSC
Navarasam Matriculation Higher Secondary School
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