
Mathavan M
AI Engineer LLM Automation Specialist
Habilidades

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Experiencia laboral
AI Engineer | Full Stack SaaS Developer | LLM Automation Specialist
Rite Learning • Tiempo completo
Aug 2025 - Jun 2026 • 10 mos
Built and deployed production-ready AI applications and Full Stack SaaS platforms for business automation. Developed AI voice agents, chatbots, and workflow automation using Python, FastAPI, LangChain, Whisper, and LLMs. Integrated Twilio Voice, WhatsApp API, OCR, ASR, and AI agents to automate customer interactions, appointment booking, and lead qualification. Deployed scalable AI microservices on Render with CI/CD, DNS, SSL, and domain management. Designed RAG systems, AI assistants, and automation pipelines that reduced manual operations by over 60%. Led AI development, mentored engineers, and delivered enterprise-grade AI solutions for international clients.
AI Developer
Chain 🎮 Games • Tiempo completo
Jul 2022 - Jul 2025 • 3 yrs
Developed AI-powered applications focused on Retrieval-Augmented Generation (RAG), document intelligence, and enterprise automation. Built end-to-end document processing pipelines using OCR, embeddings, vector databases, and LLMs. Integrated Whisper and Gemini for multilingual speech recognition, translation, and summarization. Created FastAPI backend services, AI automation tools, and deployed production-ready RAG chatbots with improved response accuracy and performance. Worked extensively with Python, LangChain, Hugging Face, and vector databases for scalable AI solutions.
Data Engineer | Automation Developer
SAI Language Solutions • Tiempo completo
Jul 2018 - May 2022 • 3 yrs 10 mos
Developed Python-based web scraping, OCR, and ETL automation solutions for large-scale data collection and processing. Built systems to extract structured information from PDFs, images, and websites, significantly improving operational efficiency. Processed text and audio datasets for AI applications, automated repetitive workflows, and trained junior developers on automation and data engineering best practices. Reduced manual data processing by over 70% through intelligent automation.