Backend Software Engineer · Open Source Contributor
Backend engineer focused on Java/Spring Boot, Python/FastAPI, APIs, testing, observability, and data systems. My experience includes Java backend development at Infosys, software validation and defect investigation at Samsung Electronics America, and open-source contributions across indexing, observability, caching, data tooling, and Java libraries.
Java · Python · SQL — Spring Boot · FastAPI · REST APIs · JUnit · Mockito · AssertJ · Maven · Git · Linux · Docker · AWS
- Database Systems — PostgreSQL, indexing, transactions, replication, and change data capture
- Kubernetes — operators, CRDs, stateful workloads, storage, and cloud-native infrastructure
- Distributed Systems — observability, reliability, performance diagnostics, and data infrastructure
- Spector — Contributing HNSW index diagnostics, Prometheus/Grafana observability, structured logging, regression coverage, and Java API documentation.
- Flinkboot — Improved Apache Flink/Kafka-related validation, YAML error handling, and type assertion APIs with regression tests.
- CodeMonk — Added Redis caching functionality and edge-case test coverage for cache keys, TTL behavior, and eviction.
- Kaoto / camel-catalog — Improved Java runtime compatibility, stable identifiers, packaged-resource handling, and regression coverage.
- NKAP #79 — Improved MTN simulator error payloads and configurability while preserving compatibility and adding regression coverage.
- FoodCalorie Backend — FastAPI backend for food-image recognition and nutrition analysis using Python, TensorFlow Lite, and external APIs.
- Cyclistic Data Analysis — End-to-end SQL, R, and Tableau analysis of behavioral data and usage patterns.
- SwitchOnTracker — Offline-first Flutter app for structured local data and daily progress tracking.
- Infosys — Tech Associate: Java backend development, SQL, testing, performance investigation, and Agile delivery for Lumen Technologies.
- Samsung Electronics America — Network QA Engineer I: Post-release software validation, KPI analysis, defect reproduction, and root-cause investigation support using Linux-based workflows with development teams.
