Professional Summary
Senior AI/ML Engineer with over 8 years of experience building scalable machine learning solutions for enterprise applications. Specialises in deep learning, cloud deployment, and cross-functional collaboration to turn complex data into actionable insights. Proven ability to optimise algorithms and reduce operational costs while maintaining high compliance standards.
Skills
- Machine Learning
- Python
- AWS
- Azure
- Tensorflow
- Pytorch
- Scikit-Learn
- Docker
- Kubernetes
- Flask
- SQL
- Deep Learning
- MLOps
- Data Engineering
Experience
Senior Ai/Ml Engineer — Sovereign IT Solutions Pvt Ltd
- Architected and deployed ML models predicting client retention, resulting in a 20% reduction in churn across key accounts.
- Optimised AWS infrastructure for training pipelines, cutting compute costs by 35% while reducing model delivery time.
- Collaboration with product teams to define data requirements and validate model assumptions, ensuring roadmap alignment.
- Implemented MLOps best practices, automating model monitoring and retraining schedules to maintain performance SLAs.
- Presented findings to C-suite executives, translating technical outcomes into strategic recommendations for customer engagement.
Engineering Technician — Persistent Systems
- Developed Python scripts to automate data cleansing for analytics teams, reducing preparation time by 60%.
- Supported deployment of IoT sensor networks, collaborating on edge analytics that informed equipment maintenance schedules.
- Conducted root cause analysis on production failures, providing validation for both hardware and software assumptions.
- Coordinated cross-functional workshops to improve data literacy among engineers and product managers alike.
- Maintained laboratory equipment and compliance documentation for safety inspections, ensuring continuous operation.
Senior Ai/Ml Engineer — AppleTech
- Led machine learning initiatives that personalised user experiences, lifting engagement metrics by 30% across mobile platforms.
- Managed data pipelines and feature engineering for recommendation systems, ensuring low-latency access during peak usage.
- Mentored junior data scientists on experiment design and statistical validation, fostering a culture of evidence-based decision making.
- Collaborated with legal teams to certify AI models against privacy regulations, balancing innovation with compliance requirements.
- Presented quarterly model performance reviews to senior leadership, framing technical results in business context.
Education
M.S. Engineering
ETH Zurich
Certifications
- AWS Certified Machine Learning - Specialty
- Certified Kubernetes Administrator
- TensorFlow Developer Certificate
Languages
English, Hindi