Data Scientist | ML Fairness & Responsible AI Engineer
Nagpur, India • Open to remote roles & collaborations
Open to opportunities & collaborations — feel free to reach out!
Personal Tagline
Empowering ethical AI through transparent, intersectional fairness monitoring, real-time bias detection, and explainable AI (XAI).
About Me
I am passionate about building production-grade fairness monitoring tools that make AI responsible, inclusive, and compliant with global standards like the EU AI Act and EEOC. With expertise in bias detection, drift monitoring, intersectional fairness, and MLOps, I design transparent ML workflows that engage both technical and non-technical audiences through clear storytelling, reproducible projects, and interactive dashboards.
Tech Stack & Skills
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Languages
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Frameworks & Libraries
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Tools & Platforms
W&B • TensorBoard • API development -
Specialties
- Bias Detection
- Drift Monitoring
- Intersectional Fairness
- Explainable AI (XAI)
- Model Deployment
- Workflow Transparency
- MLOps
Featured Project – Live Demo
Bias & Drift Detector – Real-time fairness dashboard
- Intersectional analysis (e.g., Female + Age 50+ disparity)
- Interactive drift simulation + confusion matrix
- SHAP explanations + counterfactuals
- Hybrid API / offline demo mode (works without internet)
Click image to open live demo • Full dashboard with drift simulation, fairness metrics, and model insights
GitHub Stats
Achievements & Highlights
- 5+ repositories focused on ethical ML and dashboarding
- Growing stars on Bias & Drift Detector
- 50+ commits in the last month
- Daily GitHub streak (building consistency!)
- Designed interactive tutorials with side-by-side visualizations
- Built compact dashboards that reveal preprocessing impact at a glance
Connect with Me
Currently building production-grade fairness monitoring tools.
Let's make AI responsible together!
Made with passion using GitHub • Active since 2025