Experience
My professional journey in Tech & Research.
Machine Learning Engineer
Oct 2025 - PresentScriptChain Health • Arlington, VA
- Optimized large-scale healthcare data workflows using Python (pandas, PyTorch) by refactoring preprocessing pipelines, significantly improving runtime efficiency.
- Designed GATE-based deep learning architectures integrating clinical and structured patient data to enhance predictive accuracy for outcome risk assessment.
- Standardized automation frameworks with Python and SQL to harmonize diverse medical data sources, ensuring compliance and reducing manual intervention.
PythonPyTorchSQLHealthcare AIGATE
Research Assistant
Jun 2025 - Sep 2025George Washington University • Washington, DC
- Developed a full-stack LMS platform (FastAPI, Next.js) with adaptive exams and real-time analytics, improving student engagement and exam performance by 20%.
- Designed and implemented quantum optimization algorithms using Qiskit, validating quantum-classical speedups for variational optimization research.
FastAPINext.jsQiskitQuantum ComputingFull Stack
Graduate Teaching Assistant
May 2024 - May 2025George Washington University • Washington, DC
- Mentored 50+ students in data structures, algorithms, and software engineering, delivering hands-on labs that raised class exam averages by 10%.
- Collaborated with faculty to design interactive lab exercises and real-world case studies using Python, Java, and visualization tools.
PythonJavaTeachingAlgorithms
ML Engineer and Data Scientist
Jan 2020 - Aug 2023Thoucentric (A Xoriant Company) • Bengaluru, India
- Engineered ML pipelines to predict manufacturing defects, achieving 93% accuracy and reducing defect rates by 40% (cutting manual inspection costs by 60%).
- Refactored forecasting pipelines on GCP with Databricks, PySpark, and FastAPI, boosting accuracy by 15-20% and enabling real-time predictions.
- Developed production-grade APIs and containerized ML services using FastAPI, Docker, and CI/CD for scalable deployment on Azure/GCP.
- Built interactive dashboards (Power BI, Dash) to translate model outputs into actionable insights for stakeholders.
- Partnered with cross-functional teams to align ML initiatives with business KPIs, ensuring model interpretability and measurable operational impact.
PythonTensorFlowPyTorchGCPAzureDatabricksDockerFastAPI