I'm a Software Engineer / Full-Stack Developer focused on building practical software systems across full-stack development, backend APIs, AI/ML applications, observability, and Web3/blockchain systems.
I use my GitHub to document projects that combine application development with real-world engineering workflows: CRM systems, AI-assisted features, monitoring platforms, ML deployment projects, and blockchain infrastructure experiments.
- Building full-stack applications with React, Vite, FastAPI, and modern JavaScript tooling
- Designing backend APIs with Python, FastAPI, SQLAlchemy, and database-backed workflows
- Exploring AI-assisted applications with LangGraph, Groq, Ollama, and LLM workflow tools
- Working with observability and monitoring tools such as OpenTelemetry, Grafana, VictoriaMetrics, vmagent, and Docker
- Developing Web3 systems with Solidity, Hardhat, TypeScript, Hyperledger Besu, Polygon Amoy, and ZoKrates
- Improving project quality through Docker, Docker Compose, GitHub Actions, documentation, and reproducible setup flows
A full-stack CRM module for logging Healthcare Professional interactions through structured forms and an AI-assisted chat logger.
Tech Stack: React, Vite, Redux Toolkit, FastAPI, SQLAlchemy, LangGraph, Groq/Ollama, Docker, GitHub Actions
What it demonstrates:
- Full-stack application structure with frontend and backend separation
- CRUD APIs for interaction management
- AI-assisted summaries, sentiment, action items, and next-best-action suggestions
- Docker-based local setup
- Backend tests and frontend build checks through GitHub Actions
Repository: hcp-crm
A Web3 project exploring cross-chain asset movement between a private Hyperledger Besu network and Polygon Amoy using a Lock -> Prove -> Verify -> Mint workflow.
Tech Stack: Solidity, Hardhat, TypeScript, Ethers.js, ZoKrates, Hyperledger Besu, Polygon Amoy, Docker
What it demonstrates:
- Smart contract development with Solidity and Hardhat
- ERC-1155 based asset workflow
- Cross-chain architecture between private and public networks
- zk-SNARK proof verification concepts
- Relayer-based event handling
Repository: zk-crosschain-besu-amoy
A containerized monitoring framework using OpenTelemetry, Grafana, and VictoriaMetrics.
Tech Stack: OpenTelemetry, Grafana, VictoriaMetrics, Docker
Current documentation focus:
- Clarifying the monitoring architecture
- Adding setup and execution flow
- Documenting services and metrics pipeline
- Making the project easier to evaluate from a recruiter perspective
Repository: ml-monitoring-framework
An end-to-end machine learning project focused on housing price prediction and deployment-oriented ML workflow.
Tech Stack: Python, scikit-learn, Flask, Docker, Google Colab, deployment tooling
Current documentation focus:
- Presenting the ML workflow more clearly
- Improving setup and usage instructions
- Documenting the prediction/API flow
- Adding limitations and future improvements
Repository: CaliforniaHousePricing
A clothing rental/ecommerce project currently being organized for clearer portfolio presentation.
Current documentation focus:
- Clarifying whether the project is frontend-only or full-stack
- Documenting user flows, pages, and setup instructions
- Adding screenshots and feature evidence
- Improving README quality for recruiters
Repository: Rental-Clothing
Python · JavaScript · TypeScript · Java · SQL · HTML · CSS
React · Vite · Redux Toolkit · React Router · Tailwind CSS · Axios
FastAPI · Flask · SQLAlchemy · Node.js / Express · REST APIs
Scikit-learn · Pandas · NumPy · LangGraph · LangChain · Groq · Ollama · OpenCV · MediaPipe
SQLite · PostgreSQL-ready setups · MySQL · Firebase · Render · Firebase Hosting
Docker · Docker Compose · GitHub Actions · Git · GitHub · VS Code
Grafana · VictoriaMetrics · OpenTelemetry · vmagent · Node Exporter
Solidity · Hardhat · Ethers.js · Hyperledger Besu · Polygon Amoy · ZoKrates
- Cleaning and organizing repositories for a recruiter-ready GitHub portfolio
- Improving README files with clearer project overviews, setup instructions, architecture flows, and limitations
- Adding screenshots, demo sections, and stronger documentation to major projects
- Archiving or making older test/demo repositories private
- Strengthening the presentation of full-stack, backend, observability, AI/ML, and Web3 projects
I am positioning my GitHub around practical software engineering projects that show:
- Full-stack application development
- Backend API design
- AI-enabled software workflows
- Observability and infrastructure monitoring
- Web3 and blockchain architecture exploration
- Documentation and reproducible development practices
- LinkedIn: Siddhant Jadhav
- Email: siddhant823jadhav@gmail.com
- Portfolio: Add portfolio link here, if available
