Hello, I'm

- Extended distributed data pipelines for institutional financial reporting across ingestion, enrichment, warehousing, and archival; designed new processing stages and event-driven integrations, and migrated data models to Snowflake.

- Built MCP servers for a data-lineage tool that traces data flow across multi-layer enrichment services, plus agent skills for Jira, Confluence, and runbook-guided on-call debugging to speed PagerDuty escalations.

- Cut average processing time 71% and worst-case time 86% in performance-critical Java batch components despite 54% higher data volume by replacing nested scans with hash-based indexing.

- Engineered Python transformation and reconciliation workflows with aggregation, enrichment, consistency checks, and fault-tolerant fallbacks, reducing reconciliation discrepancies by about 50% and manual adjustments by about 94%.

- Resolved distributed data-consistency failures across asynchronous replication, archival, and downstream dependencies; improved batch reliability with idempotent reprocessing, failure isolation, and targeted recovery.

- Built regression and data-quality tooling with Python, Flask, React, and TypeScript for field-level comparisons across environments, validating 540 reports before release.

- Led SRE coverage during holiday peak-load windows, resolved 67 production incidents across approximately 25 institutional client portfolios, and automated monitoring for 346 scheduled jobs across 23 processes.

- Engineered scalable serverless ML pipeline on AWS (Lambda, Glue, S3), preprocessing 10k+ audio samples for feature extraction.

- Designed a DynamoDB feature store with sub-1 ms retrieval for model training and inference.

- Automated the CI/CD pipeline for a web application, optimizing deployment processes by 40% through integration with GitHub Actions and hosting on AWS Amplify.

- Configured interactive dashboard visualization charts, enhancing the clarity and interpretability of predictions from a multimodal deep learning model by 30% after processing audio conversations.

- Won 2021 Q1 Pursuing Excellence Award for leading end-to-end development of contract lifecycle management features in RailConnect platform, enabling first-to-market capabilities for Fortune 500 railroad companies.

- Architected a proof-of-concept modernization of legacy monolith into 5 domain-driven microservices using Spring Boot and PostgreSQL, demonstrating 30% performance improvement and securing approval for platform-wide implementation.

- Optimized Elasticsearch query performance by implementing custom analyzers and reducing wildcard searches, achieving sub-second contract lookups and 40% faster aggregation across 1000+ daily transactions.

- Developed 20+ RESTful APIs using Spring MVC and JPA repositories for contract lifecycle management, integrating with third-party approval systems through custom endpoints and handled asynchronous status updates.

- Led a team of four to build a Random Forest pricing model with 78% accuracy, saving $300,000 annually and winning a company-wide hackathon among 100+ teams.

- Automated customer onboarding process through PL/SQL scripts, achieving 90-second setup time and 70% faster support resolution.

- Built 5 + reactive REST APIs with Spring WebFlux to stream real- time railcar data, enabling efficient filtering and pagination.

- Optimized React / Redux dashboard with lazy loading, pagination, and virtualized lists for real - time railcar data visualization.

- Implemented multi - stage Docker deployments with Kubernetes, enabling seamless scaling across five production environments.