Work
Jan 2024 – Present
MLOps Engineer
[Company Name]
Leading the design and implementation of ML infrastructure, building scalable pipelines for model training, deployment, and monitoring.
- Architected end-to-end ML pipeline serving 50M+ daily predictions with 99.9% uptime
- Reduced model deployment cycle from 2 weeks to 4 hours through CI/CD automation
- Built real-time model monitoring platform tracking 40+ production models
Jun 2022 – Dec 2023
ML Engineer
[Company Name]
Developed and deployed machine learning models for production systems, focusing on NLP and recommendation engines.
- Built and deployed recommendation engine serving 10M+ users
- Implemented A/B testing framework for ML model evaluation
- Optimized inference latency by 3x through model quantization and batching
Jan 2022 – May 2022
Software Engineer Intern
[Company Name]
Worked on backend services and data pipelines supporting the ML platform team.
- Built data ingestion pipeline processing 1TB+ daily
- Contributed to internal feature store used across 5 engineering teams
Education
2019 – 2023
B.Tech in Computer Science
Kalinga Institute of Industrial Technology
Focused on machine learning and distributed systems. Active in coding competitions and open-source contributions.