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- Senior Quantitative Software Engineer and Enterprise Architect with 20+ years of development experience creating secure, stable, mission-critical solutions across financial services, banking, FinTech, healthcare, and publishing industries
- Extensive experience in finance, banking, and FinTech, delivering quantitative analytics solutions for investments banks, with focus on Fixed Income, asset-backed securities (RMBS), ETFs (Exchange Traded Funds), Equities, and Indexes
- Experience in distributed, scalable, cloud-native architectures across the full stack: data pipelines, ETL infrastructure, serverless applications, APIs, backend services, and frontend applications (desktop, web, mobile)
- Proficient in full software development lifecycle (SDLC) and full-stack development using agile methodologies–from requirements analysis and system design to implementation, test-driven development (TDD), CI/CD, and documentation
- Experience in AI and Machine Learning (ML), developing LLM-backed, Agents using multimodal RAG (Retrieval- Augmented Generation) to enrich knowledge base and increase agentic accuracy
- Skilled Database Administrator (DBA) and data architect with 20+ years strong relational database (RDBMS) and NoSQL data modelling, design, programming, performance tuning, and administration experience
- Languages/Standards: C# (20+ yrs), Python (6+ yrs), SQL (20+ yrs), Objective-C, JavaScript, TypeScript, HTML, CSS
- Databases/Warehouses: PostgreSQL, Microsoft SQL Server, Elasticsearch/OpenSearch, Snowflake
- Frameworks/Libraries: NumPy, Pandas, .NET Core, FastAPI, React, Angular, jQuery, TensorFlow/Keras, scikit-learn
- Platforms/Containers: Linux, Windows, MacOS/iOS, Amazon Web Services (AWS), Microsoft Azure, Docker
- Engineering: Solutions Architecture, Distributed Systems, Scalability, Technical Writing, Systems Design, Best Practices
May 2016 – Present
- Led technical team through code reviews and architectural design best practices. Mentored junior developers, conducted technical interviews with candidates, and advised cross-functional teams on cloud architecture optimization to align with cost goals. Trained quants and data scientists on performance and optimization strategies to meet scalability objectives.
- Built data pipeline for Prepayment Risk Model by engineering complex financial calculations, probability distributions, and statistical measures on historical Fixed Income RMBS data, reducing processing time by 65%. Developed ETL infrastructure using Python and PySpark with AWS Step Functions, Glue, and Lambdas, while using Snowflake for data warehousing.
- Engineered anomaly detection workflow to audit and monitor 20TB+ of historical MBS data for quality and to ensure data integrity for downstream quantitative models. Implemented time series and multivariate statistical analysis using machine learning (ML/AI) with Python and unsupervised algorithms in scikit-learn to identify outliers in high-dimensional datasets.
- Designed and developed low-latency, high-performance cloud-based API delivering ETF, Equity, and Index analytics to Wealth Management Platform with sub-50ms response times. Developed in C# .NET using test-driven development (TDD) principles. Deployed serverless infrastructure on AWS Lambda backed by OpenSearch to ensure scalability and availability.
March 2024 – September 2025
- Co-founded AI-powered financial analytics startup and built complete technology platform. Developed generative and predictive AI solutions for financial performance evaluation, KPI analysis, and forecasting for banking and corporate sectors.
- Built production Agentic AI system using Python with LlamaIndex for multi-agent orchestration. Implemented multimodal RAG (Retrieval-Augmented Generation) pipeline extending foundational LLMs with context-aware knowledge graphs for financial statement analysis. Integrated Arize Phoenix for LLM tracing, evaluation, and observability.
- Created low-latency, FastAPI-based ML inference service deploying TensorFlow/Keras models for financial predictions. Architected serverless deployment using Docker, AWS Lambda, and Amazon ECR, delivering sub-100ms response times.
October 2012 – May 2016
- Co-founded FinTech startup and led technology development of mobile/web fundraising and payment platform serving nonprofit industry. Partnered with CEO/COO on strategic direction, product roadmap, market positioning, and user experience (UX) design based on competitive analysis and client research.
- Architected and built cloud-based, cross-platform solution: native iOS application (Objective-C), mobile-first responsive web applications (ASP.NET MVC, C#, jQuery, Bootstrap), RESTful API with JSON integration, and SQL Server database with Elasticsearch for real-time full-text search capabilities–delivering complete platform from zero to production.
- Built secure donation and payment processing infrastructure using Authorize.Net APIs for online transaction processing (OLTP), implementing atomic transactions with PCI-compliant data encryption, SSL/TLS transmission, and secure storage.
- Hired and managed contract developers for Android application, setting technical objectives and delivery timelines. Owned all infrastructure including DevOps, CI/CD pipelines, server administration, database architecture, and IIS/SSL configuration.
March 2010 – October 2012
- Designed and developed job recruiting platform for industry-leading online emergency medicine journal. Integrated RESTful API into existing, Joomla-based website using jQuery and JSON. Created eCommerce shopping cart using C# and ASP.NET for online purchasing and payment processing.
- Created publishing and distribution platform to launch the first online magazine dedicated to International Emergency Medicine using C# and MySQL. Built public API to facilitate integration with partner websites.
- Optimized SQL Server performance for high-volume prescription dispensing system. Tuned T-SQL stored procedures, user-defined functions, and triggers to increase throughput and eliminate bottlenecks and deadlocks. Automated remote pharmaceutical drug database updates using SQL Agent Jobs with C# CLR stored procedures and FTP integration.
May 2002 – March 2010
- Developed distributed check scanning system (Remote Deposit Capture) integrating with the Federal Reserve, image exchange vendors, and banking networks using multi-tier C# architecture with .NET Remoting, enabling branches and customers to scan, proof, and balance check items remotely and settle using electronic Image Cash Letter exchange.
- Designed and implemented the Check Image data warehouse application automating item exchange and reconciliation between the core accounting and imaging systems. Generated financial data in industry-standard ANSI x9.37 format and Federal Reserve Common Output Format for automated processing.
- Built bank statement application generating OFX (Open Financial Exchange) reports and substitute checks/IRDs (Image Replacement Documents) per x9.90 specification. Architected horizontally partitioned SQL Server databases for scalability and served as DBA for all client banks and branches developing maintenance routines and disaster recovery plans.
- Southern Methodist University (SMU) – B.A., Magna Cum Laude (Psychology)
- MIT – Professional Program in Machine Learning and Artificial Intelligence
- AWS Certified Machine Learning – Specialty (MLS)
- Microsoft Certified: Azure AI Fundamentals
- AWS Certified Solutions Architect Associate
- AWS Certified Cloud Practitioner