Kamal Sharma

- Architected and maintained 10+ CI/CD pipelines using Jenkins and GitHub Actions, standardising release processes and reducing manual deployment errors across the engineering team. - Provisioned and managed 5+ AWS environments using Terraform (IaC), ensuring consistent, reproducible infrastructure state across development, staging, and production — eliminating environment drift. - Deployed Prometheus and Grafana observability across 3+ services, giving the team real-time system health visibility and reduci

- Designed and delivered 8+ REST API endpoints for a data dashboard platform within an Agile sprint team, covering the full pipeline from data ingestion and ETL transformation through to analytics-facing delivery. - Modelled and optimised PostgreSQL schemas for high-frequency analytics endpoints, improving query consistency and reducing response latency under peak load. - Produced API contracts, data flow diagrams, and integration specifications that reduced cross-team ambiguity and accelerated frontend int

- Built and benchmarked 4–5 ML models across supervised learning, NLP, and deep learning domains using scikit-learn and pandas, covering regression, decision tree classifiers, text classification pipelines, and neural network architectures. - Designed reproducible preprocessing pipelines with normalisation, stratified train/test splitting, and structured experiment documentation — making all model iterations auditable and repeatable across the team.