What I shipped
- Developed a config-driven Generic Compiler Service on FastAPI transforming unstructured data into structured datasets at 100 GB/day, with dual-queue SQS, DLQ, and multi-sink writes to MongoDB, BigQuery, and S3 — new-team onboarding cut from 3 days to 4 hours.
- Designed an event-driven microservice architecture handling 150M+ events/month at 99.9% uptime, using async consumers and backpressure to absorb 50K-events-per-minute peaks; several teams reused the pattern.
- Built an Android device-orchestration platform in Python with scheduling across on-prem and cloud device pools, Frida runtime injection, and lifecycle tracking — 100+ connected devices across concurrent automation sessions.
- Developed reusable microservice templates in Python and Go adopted by 6 teams, compressing feature dev from 2 days to 3 hours; resolved 50+ production incidents and cut infra cost $3K/month using S3 Glacier and CloudWatch Logs.
- Built BigQuery + Looker Studio analytics with Grafana monitoring on Kubernetes and automated Slack alerting — reprocessing overhead down 40%, on-call escalations down 30%.
- Engineer of the Quarter, Q3 2024 — for backend throughput gains, production-incident resolution, and mentoring junior engineers.
Stack
AWS 
Python 
MongoDB 
Docker 
Kubernetes 
Jenkins 
BigQuery 
Grafana AWS Python MongoDB Docker Kubernetes Jenkins BigQuery Grafana
Python MongoDB Docker Kubernetes Jenkins BigQuery Grafana AWS Python MongoDB Docker Kubernetes Jenkins BigQuery Grafana