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Abhishek Panda
Junior Software Engineer specializing in cloud-native microservices and ML/LLM pipelines
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About
Backend-leaning full-stack engineer who ships AI-enabled products end-to-end: built CodeChat, a production internal codebase Q&A tool using RAG with Pinecone and a model-agnostic wrapper across OpenAI/Anthropic/AWS Bedrock, cutting AWS costs ~50% and latency ~45%. Also built and operated RealityStream, a Flask-based real-time forecasting API with JWT/RBAC, MLflow model versioning, and Prometheus/Grafana observability, including handling a real production latency incident via rollback, preloading, and caching.
Experience
Education
Key Strengths
- Shipped production AI internal tool (CodeChat) using RAG over codebases
- Designed modular, model-agnostic LLM provider abstraction (OpenAI/Anthropic/Bedrock)
- Cost and latency optimization: ~50% AWS cost reduction and ~45% latency reduction
- Production-grade Python API design (versioning, JWT/RBAC, standardized errors, correlation IDs)
- Reliability engineering: unit + integration tests with CI, observability with Prometheus/Grafana
- Incident response and rollback discipline (model version latency regression)
- Built real-time forecasting APIs powering interactive dashboards (RealityStream)
- Strong cross-functional collaboration on API contracts and UX details for React/TypeScript UI
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