Current Projects
Software systems, automation, and AI-assisted workflows you can review now.
About Parth
Coder by Accident.Builder by Choice.
Parth Ghumatkar builds AI-assisted software systems, automation workflows, and project-oriented tools. His credibility comes from years of building, debugging, documenting, and improving real technology work — not from borrowed credentials alone.
- 10+ years self-led building
- Current software systems
- AI-assisted workflows
- Automation & data tools
- Think Big delivery structure
Visible Work
The story matters. The work matters more.
Work records visitors can review across current projects, build documentation, repositories, and early work.
Build Record
Documented builds, demos, notes, and project material over time.
GitHub Repositories
Public code across software, AI, and automation.
Early Work Archive
Selected childhood and learning-era builds on Early Work.
Delivery Structure
Think Big review, documentation, and accountable delivery.
Self-Built Credibility
Not only borrowed credentials.
Many people lead with the institution they came from. Parth's stronger signal is the work he kept building before any institution could define him.
Published project recordsGitHub repositoriesWorking demosProject documentationBuild-led learning2018 public recognition
Visible work built over years of consistent building.
Early Background
A self-built path into technology.
Parth's path into technology was self-built — shaped by early experiments, robotics exposure, electronics curiosity, and years of build-led learning rather than a single credential or title.
Football, YouTube, robotics class, Arduino, IoT, and early hardware experiments formed the foundation — but the full childhood-to-builder story is on Build Journey, and early project entries live under Early Work.
Technical Path Snapshot
A technical path built over time.
2016 / Age 11
First coding and electronics curiosity
2018
Public presentation and recognition
2018–2021
Early builds, robotics, and learning-era projects
2022–2024
Engineering years and software direction
2025–2026
Current software systems portfolio
Current Capability
Systems Parth builds today.
AI-assisted software, automation pipelines, internal tools, and data systems — project-oriented builds you can review on the portfolio.
AI-assisted tools
Workflow tools where AI improves the system, not just the interface.
Local AI applications
On-device and local-model software builds.
Business workflow systems
Software shaped around operational use cases.
Automation pipelines
Repeatable automation across tools, APIs, and data.
Data platforms
Structured data handling and reporting foundations.
Reporting tools
Dashboards and outputs teams can review.
Internal tools
Focused software for teams, operators, and builders.
Content and media automation
Structured content and media workflows.
Current Project Work
Current systems you can review.
Featured current-work projects from the portfolio — with more published projects on the projects pages.
TradePre
ML-powered trading prediction system for Indian stocks using technical indicators, ensemble models, backtesting, and an LLM synthesis layer.
- Python
- XGBoost
- scikit-learn
- Pandas
- Kite Connect
- Flet
- Claude / LLM
- Backtesting
Full-Project Ownership, With Review
Technical building capability with delivery structure.
What Parth can own
- Requirements understanding
- Workflow thinking and system design
- First working version / MVP
- AI, API, database, and interface logic
- Debugging and improvement
- Demo preparation and documentation
Where serious delivery needs structure
- QA and testing
- Documentation and technical writing
- Security checks and best practices
- Deployment and DevOps discipline
- Client communication and updates
- Delivery oversight and accountability
Parth brings technical building capability. Think Big provides business direction, review discipline, client communication, documentation, and delivery support.
Beyond Code
Beyond code.
Away from the screen, biking became one of Parth's personal passions — a different expression of focus, control, and machine curiosity.
Focus, control, and machine curiosity off the screen
Ready to Review the Work?
Review the work, not just the story.
The best way to understand Parth's capability is to review current projects, explore the early build journey, and see how Think Big supports delivery with review structure and accountability.