Mid-Level Software Developer specializing in Java, Cloud, and Microservices
Chicago, ILSoftware Developer6 years experienceMid-LevelFinancial ServicesFinTechInformation Technology
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About
Backend/Python engineer who owned an end-to-end FastAPI + AWS internal natural-language document Q&A system (Textract extraction, embeddings/vector DB, LLM integration) with strong focus on reliability and latency. Hands-on with Kubernetes + GitOps (Argo CD, Helm, rolling updates/auto-rollback) and built/optimized Kafka streaming pipelines using Prometheus/Grafana. Also supported a zero-downtime on-prem to cloud migration with parallel run and gradual traffic cutover.
Experience
Software DeveloperCapital One
Software DeveloperDraxo Infotech
Software DeveloperSage Softtech
Financial AnalystPacific Life
Financial AnalystR-Financial
Education
Chicago State Universitymaster, Computer Science (2025)
JNTUHbachelor, Computer Science (2019)
Stevens Institute of Technologymaster, Management Information Systems (2024)
Key Strengths
Owned end-to-end backend architecture for a FastAPI + AWS document Q&A/RAG system
Improved retrieval accuracy and latency via chunking, top-K tuning, prompt iteration, and caching
Built resilient APIs with graceful degradation/fallback logic for vector store/LLM failures
Implemented secure auth with AWS Cognito plus logging/monitoring for troubleshooting and performance tuning
Production Kubernetes deployment experience (Docker, manifests, HPA, ConfigMaps/Secrets, GPU scheduling with node selectors/limits)
GitOps CI/CD with Argo CD (automated sync, health checks, rolling updates, auto rollback)
Executed zero-downtime on-prem to cloud migration using parallel run and gradual traffic cutover
Designed and optimized Kafka streaming pipelines (partitioning, offset tracking, scaling consumers, hot partition troubleshooting with Prometheus/Grafana)
Built and deployed customer-facing document processing automation that reduced manual processing time
Strong customer discovery and iterative delivery via frequent demos and feedback