Devendhiran M

About Devendhiran M

I build production-ready AI systems — not just prototypes.As an AI & Generative AI Engineer, I specialize in LLM application development, Retrieval-Augmented Generation (RAG) pipelines, and agentic AI systems. What sets me apart: I bring 9+ years of experience from non-IT operations billing, inventory, system administration, and technical consulting — which gives me a grounded, real-world lens for building AI solutions that solve actual business problems, not just impressive demos.Currently, I\'m a GenAI Developer Intern at Technocolabs Softwares Inc, where I\'ve built an end-to-end RAG system for HR & Compliance knowledge management and engineered LLM-powered FastAPI backend services with semantic search and vector embeddings. What I build- End-to-end LLM applications for enterprise use cases- Scalable RAG pipelines using FAISS and ChromaDB- Agentic AI systems with memory, tool use, and multi-step reasoning- Multi-agent workflows using LangGraph and CrewAI- FastAPI microservices for AI model serving- Streamlit-based AI dashboards and prototypes- Prompt engineering strategies — zero-shot, few-shot, role-based, chain-of-thought🧠 Core expertiseGenerative AI & LLM Engineering · RAG Architecture · Prompt Engineering · Embeddings & Semantic Search · Agentic AI (Tool Use, Reflection, Multi-Agent Coordination) · Fine-tuning Concepts ML & AI foundationsMachine Learning (Supervised & Unsupervised) · Deep Learning (CNN, RNN, LSTM) · Computer Vision (YOLOv8, VGG16, EfficientNet) · NLP & Text Analytics Tech stackPython · SQL · FastAPI · LangChain · LangGraph · CrewAI · FAISS · ChromaDB · Streamlit · TensorFlow · PyTorch · Docker (Basics) · AWS EC2 & S3 (Basics) · GitOpen to roles as AI Engineer · Generative AI Developer · Applied AI Engineer I\'m looking for teams building real AI products — where thoughtful engineering and practical deployment matter as much as the model itself. m••••••••@gmail.com

Experience

1. Genai Developer Intern

   Technocolabs Softwares Inc

   Mar 2026 — Present · Indore, IN

   Developed Generative AI applications using Python and LLM frameworks to automate real-world tasks and workflows.• Built RAG-based systems for document processing and question-answering using semantic search and vector embeddings.• Created AI-powered tools like interview assistants to generate questions and evaluate answers intelligently.• Developed and deployed scalable backend services using FastAPI to integrate AI models into applications.• Optimized and managed end-to-end AI pipelines, improving performance, accuracy, and system reliability.

Education

• IIT Madras Pravartak (HCL–GUVI)

  Master Data Science with AI Program , Data Science

• AVS College of Arts & Science

  BCA, Bachelor of Computer Application

• Internshala Trainings

  Data Science with AI & Generative AI Certification Course, Data Science with AI & Generative AI