Building intelligent AI systems using Python, FastAPI, Django, Machine Learning, LLMs, RAG pipelines, and Agentic AI workflows.
π Final-year Electronics & Computer Engineering student at SNIST
π‘ Passionate about AI systems, backend engineering, scalable ML infrastructure, and intelligent automation
π§ Exploring:
- Generative AI
- Agentic AI Systems
- Retrieval-Augmented Generation (RAG)
- Edge AI
- AI Infrastructure & Orchestration
β‘ Solved 420+ LeetCode problems using Python
π Building real-world AI applications focused on:
- Healthcare AI
- Business Intelligence
- Automation
- Intelligent Analytics
- Real-time Systems
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AI-powered Business Intelligence agent designed to generate, validate, and execute SQL queries through a secure multi-agent workflow pipeline.
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AI-driven SQL generation π Repository: |
Offline privacy-first AI diagnostic system designed for low-resource healthcare environments.
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Offline AI predictions π Repository: |
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LLM-powered medical assistant using Retrieval-Augmented Generation for contextual healthcare responses.
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Retrieval-Augmented Generation π Repository: |
Real-time emergency coordination platform for faster accident reporting and medical response.
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Live GPS tracking π Repository: |
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RAG-inspired intelligent summarization pipeline combining semantic retrieval with abstractive summarization.
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Semantic retrieval π Repository: |
Expense-sharing and settlement management application inspired by Splitwise.
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Group expense management π Repository: |
LangChain β’ LangGraph β’ FAISS β’ ChromaDB β’ ONNX Runtime
Sentence-BERT β’ LlamaCpp β’ Scikit-learn β’ BART
π§ LeetCode:
https://leetcode.com/u/varun__18/
π» GitHub:
https://github.com/Varun0818
π§ Email:
varunchikoti18@gmail.com
π LinkedIn:
https://linkedin.com/in/varun-chikoti-aa7877315
- Artificial Intelligence
- Machine Learning Engineering
- Generative AI
- Agentic AI Systems
- Backend Development
- AI Infrastructure
- AI Product Engineering
- Intelligent Automation
β Code β’ Learn β’ Build β’ Repeat β