Logesh T V — GenAI Developer and AI Engineer in Chennai, India, building production AI systems, RAG pipelines and full-stack productsappliedintelligence

GenAI Developer (Polyglot) · Chennai, Tamil Nadu, India · On-site

• Integrate and fine-tune large language models — GPT, LLaMA, and custom fine-tuned LLMs — into scalable production environments serving enterprise clients.
• Design and enhance RAG (Retrieval-Augmented Generation) pipelines, improving retrieval accuracy and system performance for AI-driven applications.
• Build full-stack features spanning frontend and backend — Next.js, React, Node.js, and PostgreSQL — balancing performance with clean UX.
• Operate as a polyglot engineer, moving fluidly across TypeScript/JavaScript on the frontend, Node.js/Python on the backend, and SQL/vector stores for data — rather than staying siloed to one stack.
• Collaborate cross-functionally to ship secure, AI-augmented workflows that automate operations and improve productivity for enterprise clients.

Associate Consultant · Navi Mumbai, Maharashtra, India · On-site

• Developed and maintained Node.js (Express) + Firebase REST APIs with efficient job scheduling and cloud functions.
• Implemented mobile push notifications for real-time updates and user engagement.
• Optimized backend services for reduced latency and improved system performance.
• Handled client communication, Jira-based bug tracking, and timely ticket resolution.

Lead Full Stack Developer · Chennai, Tamil Nadu, India · On-site

• Led end-to-end development of scalable applications, including a flagship Southern Railways project — owning architecture, team management, and Agile delivery via Jira.
• Designed a microservices-based scheduling system with a custom corridor time-setting algorithm, achieving sub-100ms latency for real-time train operations; deployed with Docker Swarm, NGINX load balancing, and network bridging.
• Managed secure, autoscaling infrastructure on AWS, conducted code reviews, mentored engineers, and ensured high availability across the release lifecycle.
• Built production-grade full-stack apps with Next.js, the MERN stack, and Vite — focused on SEO, SSR, performance, and secure deployments on Azure VMs.
• Developed advanced RAG pipelines integrating GPT, LLaMA, and Gemini with vector databases (FAISS, ChromaDB, MongoDB Atlas Vector Search), reaching ~97% accurate contextual retrieval.
• Built REST APIs around LLMs, enabled real-time updates via SSE/WebSockets, and built a custom JavaScript CDN with edge caching for dynamic content delivery.

Full Stack Developer (Freelance) · Chennai, Tamil Nadu, India / Remote

• Delivered 8+ freelance web projects for clients worldwide, from landing pages to complex e-commerce platforms, earning a 4.5/5 client satisfaction rating.
• Spearheaded the MYREKLAM project, a recruitment platform letting companies post job listings and hire talent, built with React, Node.js, Express, MongoDB, REST APIs, and Google Maps integration.
• Managed end-to-end delivery for multiple clients as a MERN stack developer, meeting both functional and performance requirements on tight timelines.

Machine Learning Engineer (Intern) · Chennai, Tamil Nadu, India · On-site

• Developed a Resume–JD Analyzer using OCR and Named Entity Recognition (NER), achieving 96.8% accuracy in extracting and matching candidate details.
• Built an OCR-based table extraction tool for scanned images, delivering over 95% accuracy with advanced image-processing techniques.
• Implemented reinforcement-learning models for real-time trading automation, integrating broker APIs for automated buy/sell decisions.

MERN Stack Developer (Intern) · India · Remote

• Developed a full-featured food delivery web application, including hotel ratings, user reviews, and Google Maps integration for location-based ordering.
• Built a responsive React frontend and implemented backend REST APIs with Node.js and Express.js for client-server communication.
• Used MongoDB for scalable data storage and integrated AWS S3 for secure file storage.