Riya Bhatt
I design and ship production-grade AI systems — LLM-powered agents, RAG chatbots, NL-to-SQL analytics, and custom deep learning models — end to end with full-stack engineering.
About Me
An AI Engineer from India who builds intelligent systems on top of solid full-stack foundations. I specialize in LLMs, RAG, and deep learning, and love shipping AI that solves real business problems.
LLM Apps & Agents
Designing RAG pipelines, agentic workflows, and document-grounded chatbots with retrieval, tool-calling, and evaluation.
Machine & Deep Learning
Training and deploying custom models — CNNs for computer vision, segmentation, and classification — from data prep to inference.
Full-Stack AI Delivery
Shipping AI end-to-end: APIs, data layers, and polished UIs that turn models into real, usable products.
What I Do
I build AI products end-to-end — designing retrieval-augmented generation pipelines, autonomous agents, and NL-to-SQL analytics assistants that turn plain questions into insights.
On the ML side, I train and fine-tune custom models like CNNs for CAPTCHA detection and build customer segmentation systems, owning the full lifecycle from data to deployment.
My full-stack background lets me wrap models in production-ready APIs and interfaces. If you have an AI problem worth solving, let's talk!
LLMs, RAG & Agents
Document chatbots, help assistants, and end-to-end ticket-automation agents.
Deep Learning & Data Science
Custom CNN training, computer vision, and customer segmentation models.
Full-Stack Engineering
Serving models through robust APIs and clean, responsive product UIs.
AI Engineering Expertise
The capabilities I bring to building intelligent, agentic, production-grade AI systems.
AI Agent Architecture & Multi-Agent Systems
Designing autonomous and collaborative agents that plan, reason, and act with tools.
Large Language Models (OpenAI, Gemini)
Integrating and orchestrating frontier LLMs for reasoning and generation.
Retrieval-Augmented Generation (RAG)
Grounding models on private data with reliable, cited retrieval pipelines.
Prompt Engineering & Evaluation
Systematic prompt design paired with rigorous evaluation and testing.
LangChain, LangGraph & Google ADK
Building stateful, graph-based agent workflows with modern agent frameworks.
AI Workflow Automation
Automating end-to-end business processes with LLM-driven pipelines.
Vector Search & Semantic Retrieval
Embeddings and vector databases for fast, meaning-aware search.
LLM Observability & Performance Optimization
Tracing, monitoring, and tuning latency, cost, and quality in production.
MCP (Model Context Protocol)
Connecting models to tools and data sources through standardized protocols.
Production AI System Design
Architecting scalable, reliable AI systems from prototype to production.
My Projects
A selection of AI systems I've built — from LLM-powered agents and RAG chatbots to custom deep learning models. Explore them and check out the code on GitHub.
My Skills
The frameworks, models, and tooling I use to design and ship agentic AI systems.
Agent Frameworks
LLMs & Retrieval
Engineering & MLOps
Languages & Tools
Python
LangChain
OpenAI
Gemini
PyTorch
TensorFlow
FastAPI
Docker
Let's Build Something
Open to part-time AI engineering roles and freelance projects. The fastest way to reach me is by email — let's talk about what you're building.