Experience & background

Financial services

• Architecting multi-modal agentic systems that synthesize structured and unstructured data to auto-generate insights from client interactions, improving post-meeting follow-up time by 40%.
• Engineered digital agents to proactively surface internal context (CRM, call logs, tickets) to customer service analysts ahead of client interactions, increasing resolution rates by 25%.
• Integrated LangChain, DynamoDB, and internal certificate services to support secure, production-grade agentic pipelines handling sensitive user data.

Financial services

• Led development of scalable agentic onboarding platforms serving 4,000+ users, cutting new client onboarding time by 86%, from one week to under 48 hours through automation and streamlined workflows.
• Designed and implemented RAG-style data pipelines to extract, cleanse, and rank company data, routing summarized outputs to human reviewers or large language models, boosting communication efficiency and quality.
• Built and maintained end-to-end ML operations workflows on AWS ECS and CloudWatch, incorporating CI/CD pipelines which significantly decreased deployment failures and accelerated model update cycles across multiple teams.
• Created user-friendly internal interfaces using React and JavaScript that allowed operations teams to monitor, query, and validate agent outputs in real time, fostering increased transparency, accuracy, and stakeholder confidence.

Cloud consulting · Remote

• Migrated mission-critical public sector infrastructure from legacy on-prem to AWS Cloud, enhancing disaster recovery and observability.
• Implemented cloud-based communication systems via AWS Connect and QuickSight, enabling real-time reporting for municipal operations with direct pipelines into visualizable dashboards for clear monitoring and business operations.
• Integrated security monitoring with Wiz and CrowdStrike, delivering compliance-grade observability.

Academic neuroscience research lab

• Modeled individual neurons in 3D using calcium signaling data from mice brains, applying Singular Value Decomposition (SVD) to simplify complex neuronal structures for efficient rendering and analysis of connectivity.
• Processed and normalized large-scale biomedical datasets with Python, contributing to reproducible experiments that explored neural feedback and generalizable neuronal features.

Master of Science in Analytics, Concentration in Computer Science · Atlanta, GA

• Relevant coursework: Machine Learning, AI for Data Analytics, Statistical Modeling, Data Engineering.

Bachelor of Arts in Computer Science and Statistics · Berkeley, CA

• Activities: Berkeley ABA, Codeology, Data Science Discovery Exchange.
• Member of Student Association of Applied Statistics and Institute for Engineers and Electrical Engineers.
• Relevant coursework: Probability, Statistical Inference, Data Structures, Databases, Machine Learning, Linear Models.

Amazon Web Services. Demonstrates ability to design secure, scalable, and cost-optimized architectures on AWS.

Amazon Web Services. Validates foundational knowledge of AWS Cloud concepts, billing, core services, and security.