Architected and deployed a production-grade Swarm Agent framework that dynamically spawns, orchestrates, and retires hierarchical AI agents to autonomously synthesize complex life sciences research.

Engineered a model-agnostic Chain-of-Thought (CoT) reasoning agent with dynamic tool-calling capabilities, successfully integrating over 100+ specialized enterprise tools (PubMed, FDA databases, ClinicalTrials.gov).

Built scalable Retrieval-Augmented Generation (RAG) pipelines from scratch, utilizing OpenSearch and KNN vector search to index and query highly technical, domain-specific knowledge bases.

Designed a secure, centralized integration layer using KMS to dynamically provision, manage, and execute credentials across Google, Notion, Oracle (OCI), and Slack.

Owned the end-to-end cloud infrastructure, deploying an intelligence service and vector databases from zero-to-one on Google Cloud Platform (GCP).

Architected and shipped an AI productivity platform adopted by 4,000+ VA employees.

Designed a Retrieval-Augmented Generation (RAG) pipeline indexing 12 M+ documents. Blended FAISS IVF-PQ embeddings with BM25 hybrid search; tuned latency to < 1.2s p95 while sustaining 92% recall.

Built cloud infrastructure as code (Terraform + GitHub Actions) covering Azure Blob Storage, Cosmos DB, Functions, API Management, and Azure OpenAI

Led full-stack feature delivery in Node.js, React, and Python; introduced pre-commit hooks & automated security scans that reduced PR cycle time by 30%.

Mentored a 5-engineer pod on best practices for vector search, prompt engineering, and IaC, and collaborated daily with product, infosec, and VA stakeholders.

Directed the development of a high-performance Middle Office Clearing platform, automating thousands of transactions daily for clients managing billion-dollar portfolios.

Built a fully automated Backend-for-Frontend (BFF) with Node.js and GraphQL, reducing frontend staffing needs by 50%.

Integrated a permissioning system with Active Directory and Keycloak in collaboration with DevOps and Architecture teams.

Automated ACAT reviews and transaction reconciliations, enhancing efficiency for Clearing staff.

Employee #8, helped scale the engineering team from 5 to over 200.

Architected and developed the company's frontend platform with React, TypeScript, Node.js, and GraphQL.

Created a custom GraphQL adapter, cutting API development time and standardizing microservice gateways.

Built a scalable PDF generation service with AWS Lambda and pdfkit, optimizing cost and performance.

Migrated codebases to GitLab and streamlined CI/CD processes, increasing release frequency.

Developed a design system with Storybook and Figma, enhancing UI consistency and efficiency.

Mentored 30+ engineers, established coding standards, and implemented SOC-2 compliance.

Built a full-stack solar farm design and cost estimation platform with Next.js, React, Apollo GraphQL, Node.js, MATLAB, and AWS Lambda.

Transitioned server-side code execution to a serverless setup, cutting AWS costs by ~80%.

Maintained legacy SaaS products with Angular.js, Node.js, and MongoDB, ensuring smooth operation.