5+ years engineering production AI systems. From real-time ML inference APIs to cloud-native data pipelines — I build backends that scale and models that actually ship.
I'm a Python Engineer with deep AI/ML expertise, specializing in production-grade backend systems and intelligent applications.
From deploying classification & regression models inside REST APIs to architecting cloud-native MLOps pipelines — I work where machine learning meets real infrastructure.
Fluent in English, French, and Hindi.
Deployed classification & regression models inside production REST APIs at Autotrader. Built end-to-end preprocessing pipelines + Redis caching for fast, low-latency responses under high traffic.
Automated AWS infrastructure provisioning via CloudFormation. Built CI/CD pipelines with GitHub Actions & Jenkins for containerized deployments. Implemented model monitoring & logging with CloudWatch.
Designed batch & streaming ingestion pipelines with AWS Lambda + PySpark. Integrated Snowflake and Redshift for analytics warehousing. Migrated SQLite → MySQL at scale with zero data loss.
Built system monitoring & deployment automation tools in Python + Bash. Implemented TLS, firewall configs, and secure auth mechanisms. Tuned SQL queries and DB indexing for enterprise-grade availability.