Full Stack Engineer
- Worked closely with clients and collaborated cross-functionally with product and design teams to scope features and evaluate technical tradeoffs.
- Architected and built a vendor-agnostic asynchronous document processing platform integrating OCR and LLM providers, reducing engine load by 20% while enabling scalable, event-driven workflows.
- Developed a multilingual document extraction engine from scratch to process complex document structures, improving processing efficiency by 50% across diverse document formats.
- Denormalized database schemas and optimized query patterns, reducing database load by over 3× for latency-sensitive services.
- Engineered high-performance document extraction related algorithms for complex data processing workflows, achieving a 0% error rate in production.
- Migrated performance-critical backend services from Python to Go, improving execution speed by 3× while significantly reducing memory consumption.
- Designed secure backend APIs and asynchronous services by implementing authentication, authorization, rate limiting, and quota enforcement to improve reliability and resource utilization.
- Built and maintained a real-time synchronization microservice using GraphQL subscriptions to communicate with on-premise agents, contributing to scalable enterprise deployments and 15% market expansion.
- Implemented end-to-end observability using OpenTelemetry, Grafana, and Alloy, enabling distributed tracing, centralized logging, and production performance monitoring across services.
- Integrated cloud services including AWS SQS, SNS, Textract, and Google Document AI to automate document processing through scalable, event-driven architectures.
PythonGoFastAPIGraphQLAWSOpenTelemetryGrafana