Professional Summary
AI Engineer with 7 years of experience building scalable machine learning systems in production. Specialises in natural language processing and forecasting models delivered on cloud platforms. Combines deep technical expertise with strong communication to drive cross-functional alignment on AI initiatives.
Skills
- Python
- Azure
- AWS
- Machine Learning
- NLP
- Forecasting
- SQL
- Communication
- Scikit-Learn
- Tensorflow
- Pytorch
- Kubernetes
- MLOps
- Docker
Experience
Ai Engineer — First American (India)
- Architected NLP pipelines reducing document parsing time by 65%, serving 2M+ requests monthly.
- Implemented MLOps practices that improved model deployment frequency from quarterly to weekly.
- Optimised Azure resource allocation, lowering compute costs by 40% while maintaining SLAs.
- Led cross-functional workshops to align product teams on AI roadmap and experimentation frameworks.
- Mentored junior data scientists on best practices for code quality and reproducible research.
Data Scientist — delaware India
- Developed demand forecasting models that improved inventory turnover by 30% across key retail clients.
- Automated reporting pipelines with Power BI and Azure Databricks, saving analysts 10 hours weekly.
- Collaborated with engineering teams to containerise models in Docker, enabling faster QA cycles.
- Presented findings to C-suite stakeholders, translating technical results into actionable business insights.
- Conducted workshops on responsible AI principles, fostering a culture of ethical model experimentation.
Education
M.S. Computer Science
Carnegie Mellon University
Certifications
- Microsoft Certified: Azure Data Scientist Associate
- AWS Certified Machine Learning - Specialty