Nisarg Patel
@nisargpatel28Engineering leader passionate about clean architecture, performance, and building scalable systems that solve real problems through code and collaboration.
Language Breakdown
Lines of code distribution across 14 owned repositories
T-Shaped Developer
T-shapedDeep in Python with broad versatility
Collaboration Network
Global Impact visualization
Repos
17
PRs
0
Growth
+18%
Top Collaborators
No collaborator data yet.
Coding Streak
Contribution activity over the past year
Top Repositories
An AI-powered chatbot built with Python and Large Language Models (LLMs) that can understand natural language and generate intelligent SQL queries for data exploration and insights.
AI-powered workflow automation using LangGraph for agent coordination. Integrates LangChain for model loading, prompt creation & tool use. Built with FastAPI for execution endpoints and Streamlit UI. Python + Pandas + CSV handle seamless data processing.
A collection of Python and Django-based projects, utilities, and reusable modules built for learning, experimentation, and production-ready web solutions. Includes examples of API development, authentication, automation scripts, database integration, and deployment configurations using Django’s best practices.
A simple and secure Bitcoin self-custody wallet built with Node.js and React.js. It lets users generate wallets, manage private keys, and send or receive Bitcoin on the Testnet. Features include BIP39 seed phrases, transaction signing, optional multi-sig support, and a clean UI for full user control.
This repository provides example code for fine-tuning Large Language Models using QLoRA (Quantized Low-Rank Adaptation). It demonstrates training with Mistral-7B-Instruct, including scripts, configs, and guidance for building efficient, low-resource LLM applications.
A collection of high-performance data science workflows using RAPIDS libraries — cuDF for accelerated data processing, cuML for GPU-powered machine learning, and cuGraph for large-scale graph analytics. Includes notebooks, benchmarks, and end-to-end GPU-optimized pipelines.
A collection of Solidity exercises covering smart contract fundamentals, security patterns, and Ethereum development — built with Hardhat, Remix, and Ethers.js.
Open Source Impact
Contributions to external projects
