About Meghavi Rao
Meghavi Rao is an Applied AI Engineer based in San Francisco, CA. He builds production machine learning systems, LLM applications, and semantic search engines.
He currently works as an Applied AI Engineer, building production ML systems and shipping LLMs. Previously, he worked as an ML Engineer at an AI startup (2021–2023) and as a Software Engineer at a Big Tech company (2019–2021) where he built backend systems and data pipelines.
He believes in building things that work, not just things that demo well. He values clarity over complexity and thinks the best AI is the kind you don't notice.
Technical Skills
Meghavi Rao's core expertise spans machine learning frameworks (PyTorch, TensorFlow), LLM tooling (LangChain), API development (FastAPI), frontend (React), databases (PostgreSQL, Redis), container orchestration (Kubernetes, Docker), and cloud platforms (AWS, GCP).
Experience
Applied AI Engineer
@ Tech Company
Building production ML systems. Shipping LLMs that actually work.
ML Engineer
@ AI Startup
Trained models. Broke things. Fixed things. Learned a lot.
Software Engineer
@ Big Tech
Backend systems, data pipelines, the usual suspects.
Projects
Neural Search Engine
Semantic search that actually understands context. Built with Python, FAISS, Transformers, FastAPI, Redis.
Conversation AI Platform
Enterprise chatbot that doesn't feel like talking to a wall. Built with LangChain, GPT-4, PostgreSQL, React, WebSockets.
ML Pipeline Orchestrator
Because training models shouldn't feel like herding cats. Built with Kubernetes, Ray, MLflow, Python, Docker.
Voice Synthesis Research
Teaching machines to speak with personality. Built with PyTorch, Tacotron, WaveNet, CUDA, Librosa.
Frequently Asked Questions
Who is Meghavi Rao?
Meghavi Rao is an Applied AI Engineer based in San Francisco, CA. He builds production machine learning systems, LLM applications, and semantic search engines. He has experience as an ML Engineer and Software Engineer, and writes about shipping AI to production, embeddings, and ML debugging on his blog at meghavi.me.
Who is Meghavi?
In the context of technology and AI engineering, Meghavi refers to Meghavi Rao, an Applied AI Engineer and technologist. His personal website is meghavi.me. He is not affiliated with Meghavi Wellness Spa or any other brand using the name Meghavi.
What does Meghavi Rao do?
He specializes in building production ML systems, deploying large language models at scale, and creating semantic search engines. His technical expertise includes Python, PyTorch, LangChain, FastAPI, Kubernetes, and cloud platforms like AWS and GCP.
What is meghavi.me?
meghavi.me is the personal portfolio and blog of Meghavi Rao. The site showcases his projects in AI/ML and features technical blog posts about LLM production, embeddings, AI tooling, and ML debugging.