π Stats Β· π§ About Β· π§© How I Build Β· π Projects Β· π― HR Focus Β· π€ Connect
A note on these stats: GitHub activity here reflects experimentation, product building and AI-assisted development. It is not a claim of professional software-engineering or coding expertise.
I am an HR professional, not a professional coder.
My core work is in strategic HR, talent management, succession, leadership development, organizational effectiveness, performance, workforce decisions and employee experience.
What makes this GitHub profile a little different is that I use modern technology to turn HR ideas into working experiments and prototypes.
I start with the people problem first:
Workplace problem
β
HR / organizational logic
β
User experience and decision flow
β
AI-assisted building + automation
β
Working prototype
β
Test, learn, improve
I do not position myself as a software engineer or claim deep programming-language expertise. I use AI-assisted development, APIs, automation platforms, databases and cloud services as tools to explore how better HR systems can be designed.
My professional experience spans Siemens, Amazon and Flipkart, with work across talent strategy, HR business partnering, organization design, performance, rewards, leadership pipelines, change and HR technology experimentation.
I define the problem, HR logic, decision rules, experience, governance boundaries and expected outcome. Technology is the implementation layer, not the identity.
These are tools I use to build HR solutions, not a conventional developer tech stack.
| Project | What it explores | Status | Repository |
|---|---|---|---|
| HRTechify | The master brand connecting practical experiments across People β’ Technology β’ Growth. | Public | View |
| GrowWithHR | A traceable HR compliance advisory prototype using deterministic rules first, governed retrieval and AI only for explanation. | Public prototype | View |
| CorporateX | Structured exit stories designed to help people understand the context behind workplace experiences rather than reducing employers to a rating. | Public prototype | View |
| Project | Area | Repository |
|---|---|---|
| Team Dynamics Simulator | Team effectiveness and organizational behaviour | View |
| JobMatch | Career / job decision experimentation | View |
| Company Analyser experiments | Early experiments in structured organizational analysis | View |
Some HRTechify experiments are intentionally private while they are being developed or tested.
Do not start with AI. Start with the people problem.
Use technology only where it creates clearer decisions, better experiences or more useful HR systems.
- Built and scaled talent and leadership-development approaches across India and Bangladesh.
- Worked with senior leaders on succession, critical roles, performance and leadership readiness.
- Supported a global Amazon employee population of 1,100+ across multiple countries.
- Built career and competency frameworks and worked on organization effectiveness and employee experience.
- Led people-workstream elements of post-acquisition organization integration, including organization design, job levelling and workforce transitions.
- Designed and executed an HR competency model during a period when an HR organization scaled from roughly 200 to 600+ employees in about 18 months.
- Continue to experiment independently with HR technology through HRTechify.
If you are interested in HR strategy, talent, organizational effectiveness, HR technology or responsible humanβAI collaboration, I am always interested in thoughtful conversations and ideas.