Sunil Ghanchi

Background

About Sunil Ghanchi

I’m an AI/ML Engineer at Linearloop, passionate about leveraging data and intelligence to craft real-world AI systems that solve meaningful problems. My work spans across advanced ML applications, full-stack implementation, and AI integration at scale: I specialize in end-to-end development of AI-driven solutions—from designing intelligent models to deploying scalable full-stack systems. I work extensively on: Retrieval-Augmented Generation () for context-aware responses Multi-Channel Processing () for handling diverse data inputs to distinguish voices in audio streams Systems that automate voice interactions using LLMs and TTS Seamless integration of AI into full-stack applications (frontend to backend): I combine strong mathematical foundations with real-world application focus. My approach involves rapid prototyping, agile development, and continuous optimization. Whether it’s fine-tuning LLMs, implementing whisper-based audio processing, or managing complex deployments—I ensure performance, scalability, and usability. & : Languages: Python, C, C++, Java, JavaScript Frameworks: TensorFlow, PyTorch, Scikit-learn, Keras AI/ML: RAG, LLMs, Speaker Diarization, Deep Learning, MCP Tools: Whisper, PyAnnote, GitHub, Google Colab, Postman, VS Code Web Dev: React.js, Node.js, Express.js, Django (Full-Stack) Databases: MySQL, PostgreSQL, MongoDB Cloud & DevOps: GCP, AWS, Docker (as needed): I'm deeply motivated by solving real-world challenges through AI innovation and full-system thinking. From AI-powered learning tools to automated calling systems—I aim to create solutions that are intelligent, efficient, and impactful. 🤝 ’ : I’m open to opportunities in AI, ML, full-stack AI platforms, or collaborations on innovative products. Let’s talk if you're building something exciting in the AI space.