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Ashish Dnyaneshvar Parulekar
Mid-Level Software & Machine Learning Engineer specializing in cloud-native microservices and LLMs
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About
Backend engineer who owned the API layer for an AI trust/analytics dashboard (trust scores, stability checks, public verification endpoints) using Python/FastAPI and Postgres. Has hands-on DevOps experience deploying FastAPI and Node.js services to AWS Kubernetes with GitHub Actions + ArgoCD GitOps, plus Kafka-based real-time event streaming and careful staged migration practices (shadow traffic/dual writes, rollback planning).
Experience
Education
Key Strengths
- End-to-end ownership of FastAPI API layer (contracts, implementation, consistent responses)
- Designs frontend-friendly, predictable REST endpoints with strong validation and error handling
- Kubernetes deployment experience (containerization, manifests, probes, autoscaling, config/secrets)
- Practical GitOps workflow using GitHub Actions + ArgoCD with infra/app repo separation and auditability
- Built Kafka-based real-time event pipeline with schema definition, consumer processing, and resilience (retries/poison messages)
- Methodical migration execution (dependency inventory, staging parity, shadow traffic/dual writes, phased cutover with rollback)
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