I’m a Software Engineer focused on building ML-backed automation and infrastructure tooling.
My work focuses on:
- Production-quality Python systems
- ML pipelines with real-world constraints
- Automation, reliability, and CI/CD
| Project | Description | Focus |
|---|---|---|
| Multimodal ADHD & Gender Prediction | End-to-end ML system for multi-output prediction of ADHD diagnosis and gender using socio-demographic and brain-imaging data | ML pipelines, evaluation tradeoffs |
| Email Optimization Assistant | Production-grade automation for Gmail extraction and daily summaries using LLM APIs | Automation, APIs, CI/CD |
| Metastatic Cancer Prediction | Predictive ML pipeline for diagnosis duration using demographic and clinical data | Feature engineering, modeling |
- Languages: Python, Shell, SQL
- ML & Data: scikit-learn, NumPy, Pandas, feature engineering, model evaluation
- DevOps: Jenkins, Ansible, GitHub Actions, CI/CD
- AI/ML: OpenAI API, Google API, NLP, Random Forests, Unsupervised Learning
- Scaling ML systems and API-driven workflows
- Reliable automation and CI/CD for ML pipelines
- Practical MLOps patterns for production environments