Professional Summary
Artificial Intelligence Engineer with 4+ years of experience designing and deploying machine learning solutions on Azure and AWS. Specialises in productionising deep learning models, optimising data pipelines, and improving algorithm accuracy. Collaborates closely with product and engineering teams to deliver reliable, scalable AI features.
Skills
- Python
- Azure
- SQL
- Communication
- Leadership
- Angular
- Node.Js
- AWS
- Ci/Cd
- Stakeholder Management
- React
- Data Analysis
- Machine Learning
- Deep Learning
- Data Engineering
Experience
Artificial Intelligence Engineer — Vizyn
- Designed and deployed recommendation engine serving 2M+ monthly users, increasing click-through rate by 15%.
- Optimised Azure data pipeline to reduce feature extraction latency from 90 minutes to 20 minutes.
- Implemented model monitoring and retraining framework, improving accuracy drift alerts and reducing manual intervention.
- Collaborated with product teams to define AI roadmap, resulting in three new data-driven features launched quarterly.
- Mentored junior data scientists on best practices for model validation and MLOps tooling.
Software Developer — Shya Workforce Solutions
- Developed full-stack Angular/Node.js application used by 500+ recruiters daily, with zero downtime since launch.
- Improved backend API response times by 40% through code refactoring and Redis caching strategy.
- Launched CI/CD pipelines that reduced deployment lead time from two weeks to two days.
- Conducted code reviews that improved test coverage from 60% to 88% across key services.
- Presented quarterly technology workshops to non-technical stakeholders, increasing cross-team alignment.
Education
B.S. Software Engineering
University of Michigan
Certifications
- Microsoft Certified: Azure Data Scientist Associate
- AWS Certified Machine Learning - Specialty
Languages
English, Hindi