Thooyavan Manivaasakar Email & Phone Number

Engineering Manager with 14+ years in AI, Machine Learning, and SaaS platforms. Expert in Python and AI technologies like OpenAI, Gemini, Claude, Phi-3.5, Llama 3.1, and AWS Bedrock. Recognized by OpenAI for contributions to their Evals project. Proven track record in leading teams to develop AI-driven solutions, driving innovation in customer experience domain (CX) and e-commerce and scaling business growth. Passionate about leveraging AI to enhance user experiences and drive business success.Ever since I was seven years old and saw my cousin assemble and run an old MS-DOS desktop from scratch, I've been fascinated by coding. From there, I dove headfirst into exploring the capabilities of the computer on my own.Throughout middle and high school, I constantly sought out new ideas for coding projects, starting with simple "Hello World" programs and working my way up to building applications for my father's day-to-day business needs. Along the way, I've learned a wide range of programming languages, from C and C++ to Visual Basic, HTML, and more. I've challenged myself with networking, cloud computing, Python, Node, mobile development, and anything else I could get my hands on.Coding has been my passion for as long as I can remember, and I'm excited to continue honing my skills and tackling new challenges in the world of technology.

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  Engineering Manager

  Happyfox

  May 2024 - Present - India

  • AI Assistant and Agent Development: Designed and built advanced AI Assistants and AI Agents, capable of performing various tasks through skill-based function calling. These AI systems utilized advanced Retrieval-Augmented Generation (RAG) techniques to provide precise answers by synthesizing information from diverse data types, including documents, transaction histories, and database-driven insights.• Innovative AI Solutions: Spearheaded the development of AI-driven products like AssistAI, integrating state-of-the-art technologies such as Claude, Gemini, Cohere, LlamaIndex, LangChain, and LangFuse. We also used small language modals and open source modals such as Phi-3.5, Llama 3.1, and other HuggingFace modals. Leveraged multi-modal AI capabilities to enhance e-commerce search and user engagement, significantly improving product relevance and user satisfaction.• Strategic Roadmap and Experimentation: Led a dynamic engineering team of around 6 in executing a strategic product roadmap, fostering a culture of rapid experimentation and continuous learning. The team’s innovations contributed to early product success and strong market positioning.• Customer Onboarding and AI-driven Support: Managed the onboarding and support processes for the first wave of customers using these AI products, ensuring smooth transitions and optimizing AI models based on initial user feedback, leading to high customer satisfaction.• Compliance and Ethical AI Governance: Maintained stringent compliance and security standards for AI deployments, ensuring that all AI solutions adhered to industry regulations and ethical guidelines, thereby protecting user data and maintaining trust.

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  Velalar College Of Engineering And Technology

  Electronics And Communications Engineering