Software Engineer with experience building full-stack products from 0 to 1 across startup and enterprise environments. Skilled in TypeScript, Python, React, AWS, and LangGraph, with a track record of shipping features, solving high-impact production issues, and building systems that improve reliability, user experience, and business outcomes.

• Builds across frontend, backend, database design, cloud workflows, and product logic.
• Turns ambiguous founder, client, and partner requirements into shipped technical systems.
• Brings additional strength in technical instruction, curriculum development, mentoring, and team leadership.

Building a healthcare platform that connects users with relevant clinical studies through secure intake flows, study data integration, and matching workflows.

• Built full-stack product features in Next.js for a healthcare platform designed to connect users with relevant clinical studies.
• Developed a Python microservice that uses NLP to power a 7-step matching workflow across ClinicalTrials.gov data and internally managed studies.
• Designed and maintained MongoDB and Mongoose data models for user records, study records, and matching-related application workflows.
• Engineered matching logic across the Next.js application and Python services to support study discovery, recommendation flows, and user progression.
• Integrated ClinicalTrials.gov study data into platform workflows for clinical study search, matching, and recommendations.
• Built secure user-facing workflows that connect healthcare intake data to downstream matching and recommendation services.
• Translated loosely defined founder requirements into technical architecture, product flows, and shipped functionality with minimal upfront specification.
• Applied HIPAA-conscious engineering practices through secure data handling, privacy-aware logging, and careful treatment of sensitive healthcare information.

Building an AI-powered team management platform focused on workflow coordination, task execution, notifications, and operational follow-through.

• Built full-stack product features in Next.js and TypeScript for an AI-powered team management platform.
• Implemented AI task-processing workflows in TypeScript using LangGraph and LangChain to automate task handling and system-driven workflow execution.
• Integrated email-based workflows and notifications to support team communication, task updates, and operational follow-through.
• Designed workflow logic that connects user actions, AI processing, and task lifecycle events across the application.
• Translated loosely defined client requirements into technical architecture, product flows, and shipped application functionality.
• Built team-management workflows across frontend experiences and backend automation.
• Implemented agent-style workflow orchestration to support automated task routing and AI-driven processing.

Guiding student teams through applied AI and ML projects, from ambiguous partner problems through reproducible prototype delivery.

• Guided 6-7 teams in building Python-based ML systems using scikit-learn, pandas, and NumPy.
• Reviewed GitHub pull requests, enforced coding standards, and provided structured technical feedback across multiple team projects.
• Led Agile ceremonies, milestone planning, and backlog management to keep ML projects moving toward production-ready prototypes.
• Scoped datasets, validated features, and developed guidance for EDA, preprocessing, and evaluation.
• Translated partner business problems into actionable technical requirements, tickets, and deliverables.
• Supported teams in defining agentic workflows and structured technical next steps.
• Provided targeted technical feedback during workshops and bi-weekly team meetings.

General Assembly is a global education organization that delivers intensive, project-based training in software engineering, data science, and UX design.

Led B2C and B2B software engineering programs covering JavaScript, React, Node.js, Python, Django, Java, and AWS-based ETL instruction.

• Engineered production-grade web development projects with TypeScript and AWS, reducing setup time by 80% and improving NPS to 78 within 6 months.
• Automated a GitHub Actions pipeline with security checks, reducing feedback time from 24 hours to 5 minutes and lifting assignment pass rates to 90%.
• Resolved 99% of live stack-trace errors in less than 5 minutes during MERN and Django labs, protecting demo delivery deadlines.
• Spearheaded daily code-review clinics and peer coaching for 30-student cohorts, boosting technical-interview pass rates by 12%.
• Analyzed quiz and survey data to identify concept gaps, then launched micro-lessons that helped drive 92% student retention.
• Managed ten 12-week Agile sprints over three years, maintaining burndown variance within +/-5% and achieving 100% on-time graduation.
• Managed a team of 5 instructors and developed documentation, communication logs, and operational improvements for program delivery.

Wayfair is a global e-commerce company specializing in home goods through data-driven platforms and customer-focused software systems.

Developed and optimized scalable e-commerce systems across React, PHP, Java, GraphQL, and PostgreSQL, improving checkout performance, reliability, and user experience.

• Optimized the React/TypeScript frontend and PHP GraphQL backend for checkout, cutting time to first paint from 2.5s to 1.8s and boosting conversions by 6.4%.
• Enhanced system performance by redesigning gift-card refund logic across the platform.
• Instrumented microservices with InfluxDB and Grafana dashboards with SLO paging, reducing MTTR from 45 minutes to 15 minutes during peak traffic.
• Root-caused a database outage in the gift-card email path and shipped a production hot-patch in less than 3 hours, averting a $180k loss.
• Integrated multi-currency payment gateways into Java microservices, launching checkout support in 3 new regions.
• Unified PHP and Java test suites in CI, raising coverage from 30% to 85% and cutting post-release defects from 20+ per month to zero for six months.