DARSHIT RADADIYA
AI Engineer | Building Real-World AI Solutions 🤖
Agentic AI•RAG•LLMs•Voice Agents•Automation
Who I Am
An AI engineer passionate about building intelligent systems that solve real-world problems at scale.
Darshit Radadiya
AI Engineer
I'm an AI Engineer and Computer Engineering graduate from LJ University, Ahmedabad. I specialize in building intelligent, scalable AI applications using LangChain, LangGraph, RAG pipelines, and agentic systems.
I focus on backend development, multi-agent orchestration, and large language model integration — turning complex concepts into clean, functional digital products.
With expertise spanning from MLOps infrastructure to voice agent development, I build end-to-end AI solutions that are production-ready, performant, and impactful.
My Experience
AI Chatbot Development
Freelance Client Projects
RAG-based conversational AI with retrieval-augmented generation for context-aware, accurate responses grounded in custom business data.
> state: optimized
Agentic AI Systems
Independent Research & Development
Multi-agent orchestration with LangGraph — designing autonomous AI agents that reason, plan, and collaborate to solve complex, multi-step tasks.
> state: optimized
API & Backend Development
Freelance Client Projects
High-performance, production-ready REST APIs built with FastAPI to serve as robust backends for scalable AI applications.
> state: optimized
AI Voice Agent Development
Independent Research & Development
Intelligent voice-based agents combining real-time speech recognition, LLM reasoning, and natural text-to-speech for seamless automated support.
> state: optimized
Projects
A desktop OS-inspired showcase of intelligent AI systems, RAG architectures, and agentic applications.
NaturalSQL
"Convert Natural Language Questions into Accurate SQL Queries"
- Natural language to SQL translation
- Schema graph analysis
- Multi-table join support
LightGPT
"Multi-tool AI Assistant — real-time chat, code gen, PDF Q&A, web search & image creation"
- Groq LLM integration (Llama3-70B)
- Real-time chat & code generation
- PDF question answering
SmartWeb Assistant
"RAG-Powered Web Scraping & Intelligent Q&A — answers questions from any live website"
- Dynamic web crawling & scraping
- Qdrant vector database storage
- LLaMA 3 + LangChain RAG pipeline
VoiceFlow AI
"Real-time Voice Agent with Sub-500ms Latency"
- Real-time speech recognition (140ms)
- LLM reasoning pipeline (180ms)
- Streaming TTS output (90ms)
Education Journey
Computer Engineering graduate from LJ University, Ahmedabad — focused on building intelligent AI systems and scalable backend architectures.
LJ University, Ahmedabad
B.E. in Computer Engineering2021 – 2025
"The transformation into an AI engineer focused on scalable intelligent systems, agentic AI, and advanced backend engineering."
Skill Matrix
A deep stack of AI engineering tools and frameworks, battle-tested across production systems.
Agentic AI & LLMs
7 technologies
Designing autonomous AI agents that reason, plan, and collaborate using cutting-edge frameworks.
ML & Deep Learning
6 technologies
Building and training neural networks for NLP, computer vision, and predictive analytics.
Backend & APIs
6 technologies
Crafting high-performance REST APIs and microservices for production-grade AI applications.
Data & Databases
6 technologies
Managing vector stores, relational databases, and data pipelines for AI-powered systems.
Cloud & MLOps
6 technologies
Deploying and orchestrating ML models at scale with modern cloud infrastructure.
Data Engineering
6 technologies
Building scalable ETL pipelines and distributed data processing systems.
Let's Collaborate
Open to AI/ML roles, consulting, and interesting collaborations. Let's build something remarkable together.
Send a Message
I'll reply within 24–48 hours