Headline

AI/ML Engineer @ClaySys | DBCE'24

About

Hi, I'm Abhinav Kuppasad, an AI/ML Engineer with a passion for building intelligent systems that solve real-world problems. I hold a Bachelor's degree in Computer Engineering from Don Bosco College of Engineering, Goa, graduating with a CGPA of 8.97. At ClaySys Technologies, I work on scalable voice-based AI solutions by integrating open-source TTS, STT, and LLM components into low-latency conversational pipelines across web, mobile, and telephony platforms. I’ve also designed deep learning-based image generation pipelines optimized for performance and scalability. Previously, I interned at Teknorix Technologies, where I built RESTful APIs using C# and .NET for a headless CMS. My academic projects include a Bus Management System and an Ocular Disease Detection system using deep learning. I'm skilled in Python, JavaScript, C#, Java, C++, HTML/CSS, SQL (MySQL/PostgreSQL), Git, REST APIs, and deep learning frameworks.

Location

South Goa

AI stack

aistudio

antigravity

claude

codex

gemini

ollama

Work experience

AI/ML Engineer at ClaySys Technologies, Sep 2024 - Present · 1 y 11 mo, Remote, Conversational AI: Designed, developed, and enhanced production Conversational AI and AI Chatbot solutions for enterprise banking applications supporting web, mobile, and telephony platforms. • Voice AI Pipeline: Built modular real-time Voice AI pipelines integrating Speech-to-Text (STT), Large Language Models (LLMs), and Text-to-Speech (TTS) to deliver low-latency conversational experiences. • FastAPI Services: Developed asynchronous FastAPI backend services supporting streaming AI inference, real-time communication, speech processing, and backend service orchestration. • WebSockets & Streaming: Implemented WebSocket-based communication and optimized streaming speech pipelines for low-latency bidirectional interaction, improving playback sequencing and user experience. • Authentication Workflows: Implemented conversational authentication workflows integrating AI chat interfaces with external identity verification and face authentication services. • Cost Optimization: Reduced speech infrastructure costs by 94% by replacing commercial speech services with optimized open-source AI models. • Infrastructure & Kubernetes: Containerized services using Docker and deployed/managed AI microservices on Kubernetes clusters to improve system scalability, deployment consistency, and operational reliability. • Production Support: Investigated and resolved production issues involving conversational AI pipelines, speech processing, concurrency, streaming communication, and system reliability while optimizing response latency. • Platform & UI: Contributed to scalable AI platform components and developed responsive conversational interfaces supporting streaming interactions and real-time voice conversations. • Production Lifecycle: Supported the development, deployment, optimization, and maintenance of production Conver- sational AI systems serving enterprise banking applications.

Backend Intern at Teknorix, Jul 2023 - Sep 2023 · 3 mos, Goa, India, Worked on backend website development during my 2-month internship. Acquired expertise in C# and .NET. Developed specialized APIs for Headless Content Management System.

Freelance Writer at GeeksforGeeks, Jun 2022 - Jun 2025 · 3 y, Remote

Education

Bachelor of Engineering - BE, Computer Engineering, Don Bosco College of Engineering, Fatorda, Goa

MES Higher Secondary School

Public links

github: https://github.com/27-abhi