Greater Seattle Area
PROFESSIONAL SUMMARY: ▪ 10+ years of software engineering experience spanning Full-Stack development, Enterprise platforms, Agentic-AI, Peta byte scale cloud data systems, and financial applications. ▪ 5+ years expertise in the Apache Spark ecosystem (Spark Core, Spark SQL, Spark Streaming), processing trillions of records across distributed pipelines. ▪ 2+ years of development experience in RAG, GenAI and multi-agentic AI system engineering. ▪ Big Data analytics development using Azure SDK, HDInsight Spark clusters, Azure SQL, Azure Data Factory (ADF), Scala, Blob/ADLS as HDFS storage, Hive, and Databricks. ▪ Full-stack enterprise development with ASP.NET Core, Entity Framework Core, and reusable UI component libraries, supported by Git-based workflows and modern CI/CD automation. ▪ Strong grounding in data modeling, data access, and data storage techniques, plus cloud-based business analytics and Power BI reporting. ▪ Experience in RAG-based document intelligence to enhance productivity and information retrieval; actively working on agentic AI patterns (LLM tool-use and orchestration). ▪ End-to-end SDLC delivery in Agile/Scrum: requirement analysis, design, development, code reviews, and production deployment, with on-call ICM operational support.
Enterprise Investment Platform : Designing an Agentic AI system to answer complex investment questions and surface evidence-grounded insights for analysts, executives, and government stakeholders. ▪ Designing multi-agent workflow architecture (planner + retriever + summarizer) for investment query ▪ decomposition ▪ Researching RAG approaches to integrate structured investment data with unstructured sources (memos, ▪ compliance docs, committee records) ▪ Evaluating governance patterns including RBAC, audit logging, redaction, and human-in-the-loop review for ▪ high-stakes financial outputs ▪ Exploring use cases: investment progress tracking, thesis reconstruction from historical records, and ▪ automated analyst report generation ▪ Prototyping with LangGraph, LlamaIndex, Azure OpenAI, and LangSmith for tracing and evaluation WSIB Investment Banking Platform : Built and owned enterprise investment platform managing $180B+ AUM across 74+ funds and 50+ users. Platform & Data ▪ Designed full investment platform integrating Bloomberg, Hamilton, and internal investment team data via ▪ Azure ADF and Data Lake ▪ Built RBAC and validation framework enabling secure, multi-owner updates across investment workflows ▪ Built MongoDB → MySQL ETL pipeline, improving data refresh time by 70% (8 hrs → 2.4 hrs) ▪ Reduced DB load by 60% and achieved sub-second query performance on millions of records ▪ Automated workflows saving 40+ hours/week and improving data quality across the platform ▪ Performance & Reliability ▪ Reduced API payload size by 69% (2.1MB → 650KB) via Gzip/Brotli compression and caching ▪ Improved query performance 40–60% by shifting heavy operations to SQL ▪ Fixed memory leaks (87% reduction) and maintained 99.5% uptime ▪ Enabled real-time collaboration using SignalR
Project: Usage Allocation Engine – Azure Reserved Instances (RI) ▪ Built automated, repeatable infrastructure scripts for the Azure RI service for reuse in future provisioning. ▪ Owned the deployment story across all RI components. ▪ Implemented core Azure RI reporting logic in Spark/Scala along with unit tests for the reporting module. ▪ Integrated new RI features into the reporting module with corresponding test coverage. ▪ Used Cosmos to deliver RI reporting views for capacity planning. ▪ Performed data-quality (DQ) checks across the reporting module using KQL. ▪ Added new RI features to Power BI visualizations and maintained data feeds for Power BI and third-party integrations. ▪ Resolved defects, troubleshot applications, and addressed production server issues in big data applications.
• Developed a crowdsourced transcription platform using PHP, MySQL, Drupal, and JavaScript. • Built workflow automation for audio chunking, task assignment, transcription, quality review, and transcript generation. • Developed features supporting audio processing, approval workflows, and distributed human-in-the-loop content processing.
• Developed mobile value-added service (VAS) applications for telecom operators using PHP, MySQL, and Linux. • Supported subscription-based mobile services including sports, entertainment, news, and digital content offerings. • Built reporting solutions and provided deployment, testing, and production support for consumer-facing platforms.
• Developed dynamic e-commerce and content management applications using PHP and MySQL. • Integrated PayPal payment processing and third-party APIs, including social media platforms. • Designed database-driven web solutions supporting multilingual websites and online storefronts.
• Developed ERP and business applications using PHP and MySQL. • Built database-driven web solutions, reporting modules, and workflow automation features.