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Harsh Sanas
Intern Full-Stack/AI Software Engineer specializing in GenAI and cloud microservices
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About
Backend engineer who owned the AI/data pipeline layer for an EV-charging management platform (Ampure Intelligence), ingesting real-time charger telemetry via OCPP and serving FastAPI APIs to web/mobile clients. Strong in production reliability for asynchronous systems (state reconciliation, idempotency), Kubernetes GitOps (ArgoCD), Kafka streaming, and zero-downtime cloud-to-on-prem migrations; also improved LSTM-based forecasting through targeted preprocessing.
Experience
Education
Key Strengths
- End-to-end ownership of Python backend services for real-time telemetry systems
- Designing robust state-reconciliation and idempotency to handle out-of-order/duplicate OCPP events
- Building and operating Kubernetes deployments with Helm, probes, autoscaling, and zero-downtime rollouts
- Implementing GitOps CI/CD with GitHub Actions + ArgoCD and fast rollback via Git revert
- Planning and executing cloud-to-on-prem migrations using blue-green cutover and CDC with zero downtime
- Designing Kafka streaming pipelines for bursty high-frequency data with ordering and deduplication controls
- Improving ML forecasting reliability via better preprocessing and minimum-history thresholds
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