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AI Engineer with 1+ years in Agentic AI, Generative AI & LLM orchestration.
Innovative AI Engineer specializing in the development of enterprise-grade Agentic AI and Generative AI solutions that transform business operations through intelligent automation. Proven expertise in designing autonomous AI agents, Multi-Agent systems, Retrieval-Augmented Generation (RAG) pipelines, and context-aware workflows using LangChain, LangGraph, and Model Context Protocol (MCP). Hands-on experience delivering production-ready AI applications for Lead Generation, Inventory Management, Merchant KYC, Voice AI, and WhatsApp automation by leveraging Claude, Gemini, Llama, GROQ, PaddleOCR, LlamaParse, and Twilio. Adept at building scalable, high-performance AI systems with a strong focus on orchestration, reliability, and measurable business impact, including significant reductions in manual effort and accelerated decision-making through real-time AI experiences.
Panimalar Institute of Technology
B.Tech · Artificial Intelligence and Data Science
August 1, 2020 – June 30, 2024
Velammal Vidyalaya
Higher Secondary
June 1, 2018 – May 31, 2020
TruNova Technologies
AI Backend Developer | Agentic AI Engineer
October 1, 2024 – Present
India
Marketing Intelligence Agent
October 1, 2024 – June 1, 2026
Architected a multi-agent MCP pipeline using Claude as the LLM reasoning engine, integrating LinkedIn, Twitter/X, GitHub, and Exa MCP servers for real-time social media intelligence and automated B2B lead enrichment. Automated tech-stack lead qualification (HTMX, DataStar, Alpine.js) and CTO-level contact extraction (email, LinkedIn, GitHub profiles) with zero manual effort, accelerating outreach pipeline efficiency.
Multi-Agent RAG Platform
October 1, 2024 – June 1, 2026
Built a modular multi-agent system orchestrated via LangGraph with four specialized agents: RAG Agent (document Q&A), Reporting Agent (data summarization), Role Creation Agent (OCR + voice-to-role), and Sales Agent. Enabled real-time multi-modal file ingestion (PDF, Excel, image, audio) during active chat sessions with full conversation history context, using LlamaParse and Gemini for document understanding.
Intelligent Static Data Upload Agent
October 1, 2024 – June 1, 2026
Built an autonomous LLM agent for batch Excel/CSV processing: dynamic field mapping, LLM-generated JSON payload construction, and automated CRUD execution against warehouse management APIs. Reduced manual data configuration effort by 85%; generalized agent to support multi-entity, multi-application uploads (WMS, Cooling Tower, Zones, Racks) from a single unified agentic workflow.
AI-Driven QA & Test Generation Agent
October 1, 2024 – June 1, 2026
Built an LLM-powered test generation agent that converts Excel-based test cases into Cucumber feature files and step definitions automatically.
Marketing Aggregator Platform
October 1, 2024 – June 1, 2026
Developed a full-stack AI-assisted platform connecting businesses, sales partners, and administrators; automated lead management, opportunity workflows, agreement signing, and WhatsApp-based profile sharing.
Real-Time Multilingual Voice AI Agent
October 1, 2024 – June 1, 2026
Developed a sub-second speech-to-speech AI agent using GROQ Whisper (STT), Llama 3.3 70B (LLM), and Microsoft Edge TTS, with LiveKit WebRTC for low-latency real-time audio streaming in the browser. Implemented offline-first Edge AI using Llama.cpp with GGUF quantization; integrated domain-specific RAG over enterprise Cooling Tower and WMS data for voice-enabled natural language querying.
WhatsApp Inventory Management Agent
October 1, 2024 – June 1, 2026
Designed an LLM-powered agentic pipeline that ingests WhatsApp messages (text and images) via Twilio; applies PaddleOCR, RapidOCR, and LlamaParse to extract material names and quantities from supplier photos and handwritten notes, and persists structured records to PostgreSQL. Automated full order lifecycle data parsing, DB storage, AI-driven review and correction, order confirmation with all user interactions delivered through WhatsApp, eliminating manual data entry entirely.
Merchant Onboarding & KYC Verification Agent
October 1, 2024 – June 1, 2026
Engineered an AI-driven KYC pipeline: document upload, OCR and LlamaParse-based field extraction, structured data validation, and automated PostgreSQL persistence - reducing onboarding turnaround significantly. Integrated Kyutai Pocket TTS for local voice cloning and real-time speech synthesis, providing voice-over feedback during automated data processing; built responsive onboarding UI with full backend integration.
MERN Stack Development
Unknown
June 1, 2026 – Present
AI Fundamentals
Naan Mudhalvaan
June 1, 2026 – Present
30-Day Master Course on AI & Machine Learning
Pantech E-Learning
June 1, 2026 – Present
5-Day Gen AI Intensive Course
Kaggle x Google
June 1, 2026 – Present
AR/VR Development (Unity, Blender)
Unknown
June 1, 2026 – Present
Tech Crunch 2022
Unknown
January 1, 2022 – Present
Techno VIT 2022
Unknown
January 1, 2022 – Present
Cultural Fit Analysis
The candidate's portfolio showcases a strong alignment with an innovative, fast-paced AI development environment. The breadth of projects, from marketing intelligence to inventory management and KYC, demonstrates versatility and a willingness to tackle diverse challenges. The use of cutting-edge technologies and frameworks (e.g., multi-agent systems, GGUF quantization, LiveKit WebRTC) indicates a proactive approach to learning and adopting new tools, which is a strong cultural fit for a forward-thinking AI team. The participation in competitions also suggests a competitive and growth-oriented mindset.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong problem-solving orientation and an ability to translate complex technical concepts into tangible business solutions. The focus on reducing manual effort and improving efficiency suggests a proactive and impact-driven work attitude. The diversity of projects implies adaptability and a capacity for independent work, crucial for senior roles. However, without direct interview data, specific soft skills like team collaboration or stress handling cannot be fully assessed.