Jimmy Mishan

Fellow, Technical Lead

Solana Foundation

Feb 2026 – May 2026

Led the technical build of an open-source Solana portfolio tracker in React and TypeScript, owning the path from wallet connection through live on-chain asset ingestion, normalization, and portfolio UI.

• Built the core wallet-to-portfolio flow: wallet connection, on-chain asset ingestion, normalization, token metadata, and portfolio UI.
• Fixed silent 64-bit precision loss in on-chain financial values by tracing the issue below application logic to transport-layer JSON parsing.
• Hardened the app against malformed and adversarial token metadata with per-record fault isolation, Unicode sanitization, MIME-gated image handling, and graceful fallbacks.
• Set a reliability bar with 287 tests across 23 files, strict TypeScript, and lint/type/build CI gates focused on parsing, normalization, and UI failure states.
• Made a trust-and-safety call not to ship a 'verified token' badge after live-data analysis showed the on-chain fields could imply legitimacy they could not prove.

github.com ↗

Collaborated with MLH leadership to design and launch a Meta-sponsored Production Engineering Hackathon that attracted 1.5K registrations, 621 attendees, and 115 teams.

• Designed a roadmap-based technical program covering deployment automation, observability, scalability, and reliability engineering.
• Built participant tooling and guidance to help teams navigate challenges and apply production engineering concepts.
• Developed an achievement and verification framework to assess applied understanding of PE/SRE principles.
• Shaped event programming and the participant experience, including speaking on the first day of the event.

mlh.io ↗

Built reliability and observability tooling for Meta's data-infrastructure control plane, validating 10M+ throttling messages/hour before deploys.

• Built a production-scale throttling validation framework processing 10M+ messages/hour to test rule-based decisions before deploys.
• Restored observability across critical control-plane paths with logging fixes, replay testing, and p50/p95/p99 latency, throughput, and correctness dashboards.

about.meta.com ↗

Software Engineering Intern

New Jersey Courts (Supreme Court of NJ)

Jun 2024 – May 2025

Automated attendance-data processing and built a mobile attendance app used across 20+ annual events for the NJ judiciary.

• Led the development of a Node.js application to automate the processing of attendance data from CSV and JSON files, reducing manual data entry time by an estimated 80% and improving data accuracy.
• Implemented error handling and data validation in the automatic processing of attendance data, reducing manual data correction time by approximately 50%.
• Architected and developed an Android mobile attendance application using Ionic and Angular, designed to replace legacy hardware solutions and streamline event management processes for 20+ events annually.
• Managed API testing using Postman, ensuring that secure endpoints were correctly configured and tested, leading to a 100% success rate in API integration with the judiciary's PEGA database.
• Actively participated in SCRUM development processes, contributing to sprint planning and retrospectives for 6+ concurrent projects

njcourts.gov ↗

Production Engineering Fellow

Meta (via MLH)

Jun 2024 – Sep 2024

Deployed and operated a containerized multi-service web app with 99% uptime, cutting deploy times in half.

• Collaborated with a team to engineer and deploy a multi-component web application on DigitalOcean, achieving 99% uptime and improving response times.
• Engineered a containerized microservices architecture using Docker, separating Flask, MySQL, and NGINX components, resulting in 50% faster deployments and 35% improved resource utilization.
• Implemented and optimized CI/CD pipelines with GitHub Actions, reducing production bugs by 25% and accelerating deployment cycles by 50%.
• Developed and executed comprehensive testing strategies, including unit, integration, and system testing, increasing code coverage to 75% and significantly reducing post-deployment issues.
• Designed and implemented custom monitoring solutions for server health using Prometheus and Grafana, improving incident response time by 50% and enhancing system observability

fellowship.mlh.io ↗

Self-Employed Personal Trainer

Jimmy Mishan Personal Training

Aug 2022 – Jan 2024

Launched and ran a personal-training business end to end — client acquisition, programming, and progress tracking.

• Successfully launched and managed a personal training business, developing data analysis skills to track client progress, recognize trends, and adjust training plans accordingly.
• Communicated effectively with clients to establish goals and objectives, regularly providing progress updates and developing customized training plans based on individual needs.
• Utilized social media and other networking channels to appeal to new clients, developing a perspective and understanding of marketing and branding concepts.
• Maintained a high level of adaptability and flexibility, balancing client schedules and accommodating their changing needs and schedules.

linkedin.com ↗