Welcome to my portfolio

I'mKunal Suraniya

I build production-ready AI applications using Python, FastAPI, Large Language Models, vector search, and modern software engineering. My focus is creating reliable AI systems that combine LLMs, APIs, and workflow automation.

About Me

I'm an AI Engineer specializing in building production-ready AI systems. My journey from Full Stack Development into AI Engineering has given me a unique perspective on combining LLMs with robust backend infrastructure. I build practical AI systems that are reliable, scalable, and solve real-world problems.

My Transition to AI Engineering

I started my career in Full Stack Development, building complete applications from backend APIs to interactive frontends. This foundation gave me deep experience in software architecture, system design, and code quality—skills that are essential for building reliable AI systems.

Over time, my focus shifted toward AI and LLMs. I became fascinated by combining language models with robust backend systems. Today, I specialize in building production-ready AI applications using RAG systems, semantic chunking, embeddings, and modern development practices. I work with Python, FastAPI, vector databases, and LLM APIs to create intelligent systems that actually work at scale.

Currently, I'm exploring AI agents, tool calling, context engineering, and the latest advances in LLM applications. I believe the future of AI is not just about models—it's about building robust systems where AI components work seamlessly with well-engineered backends.

RAG & Embeddings

Building retrieval-augmented generation systems with vector databases and semantic search

Backend Systems

Designing scalable APIs and microservices with Python, FastAPI, and modern infrastructure

LLM Integration

Integrating language models, prompt engineering, and context engineering into applications

AI Agents

Building intelligent agents with tool calling, autonomous execution, and workflow automation

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Quality

Writing production-ready code with proper testing and documentation

Performance

Building fast, efficient systems that scale and delight users

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Collaboration

Working effectively with teams and contributing to open-source

Skills & Expertise

A comprehensive toolkit of technologies and methodologies I use to build intelligent systems.

Large Language Models

Gemini APIPrompt EngineeringContext EngineeringStructured Outputs

Retrieval

RAGEmbeddingsChromaDBFAISS

Backend

PythonFastAPINode.jsREST APIs

Frontend

ReactNext.jsTailwind CSS

Infrastructure

DockerGitHub ActionsRailwayLinux

Core Competencies

RAG & LLM Systems95%
Python Development92%
Backend Architecture90%
AI Engineering88%

Featured Projects

A showcase of my recent work in AI, backend systems, and full-stack development.

Featured Project

Chunker

Semantic Chunking for RAG Systems

A production-ready semantic chunking system that intelligently splits documents for retrieval-augmented generation. Implements advanced embedding-based chunking with ChromaDB for optimal context preservation.

RAG Pipeline

Upload Document
Document Loader
Semantic Chunking
Embedding Generation
Vector Database
Retriever
Context Assembly
LLM Response

Key Features

  • Semantic Chunking Algorithm
  • Gemini API Integration
  • ChromaDB Vector Storage
  • FastAPI Backend
  • React Frontend

Stack

PythonFastAPIChromaDBGeminiRAGEmbeddings
C

Semantic Chunking for RAG Systems

Talker

Real-time Communication & Distributed Systems

A backend-focused real-time communication platform using WebRTC and Mediasoup. Showcases scalable distributed system architecture, low-latency streaming, and robust API design for multi-peer communication.

Node.jsWebRTCDistributed Systems

ReachFlow

Workflow Automation & API Development

An advanced workflow automation system built with robust backend APIs and database architecture. Demonstrates scalable automation patterns, REST API design, and real-time workflow orchestration for enterprise-scale operations.

REST APIsBackendAutomation

Currently Building

Actively learning and building with cutting-edge AI technologies and frameworks.

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AI Agents

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Tool Calling

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LangChain

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Model Context Protocol

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RAG Evaluation

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Context Engineering

FastAPI

I'm actively exploring the latest developments in autonomous AI systems, intelligent automation, and advanced retrieval techniques. These are the tools and frameworks I'm using to build the next generation of AI applications.

Career Timeline

My evolution from foundational computer science through full-stack development to AI engineering.

Bachelor of Computer Applications (BCA)

2020 - 2023

Chaudhary Charan Singh University (CCSU)

Master of Computer Applications (MCA)

2023 - 2025

Dr. A.P.J. Abdul Kalam Technical University (AKTU)

Full Stack Development Specialization

2023

Online Learning

AI Engineering & LLM Applications

2024

Self-Directed Learning

Currently Building AI Agents

Now

Advancing AI agent development and autonomous systems

Technical Writing

I'm working on detailed technical articles about AI engineering, RAG systems, and LLM applications.

Stay tuned for in-depth articles on:

Building a RAG Pipeline from Scratch
Semantic Chunking Explained
Understanding AI Agents
Prompt Engineering Notes
Tool Calling with LLMs

Articles coming soon. Follow my GitHub for updates on new projects and writing.

Certifications

Professional certifications and specialized training in AI, cloud, and development.

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2024

Prompt Engineering

Tayana Academy

2024

Google Gems

Tayana Academy

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2024

Project GPT

Tayana Academy

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2023

CRUD Operations in MongoDB

MongoDB University

4+

Certifications

50+

Projects Completed

5+

Years Experience

Let's Build Intelligent Systems Together

I'm always excited to collaborate on AI projects, discuss LLM applications, and explore the future of intelligent systems.

Looking for more details about my work?

Download My Resume

Have an interesting AI project? Want to discuss RAG systems, LLM architectures, or backend engineering? Let's connect and build something great together.

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