~/portfolio $ whoami
Full-stack engineer with a background in Biochemistry and 5+ years building production systems, specializing in LLM orchestration and compliance-grade workflows — seeking to apply domain knowledge in medical AI, drug discovery platforms, or healthcare management systems.
Currently deep into AI tooling: local LLM fine-tuning pipelines, browser extensions, and the intersection where backend systems meet language models.
| Laravel / PHP | Primary | |
| React | Primary | |
| MySQL | Primary | |
| LLM / MLX | Growing | |
| Node / JS | Fluent | |
| Python | Fluent |
Designed and developed internal systems for session scheduling, wellness digitalization, goal progress tracking, batch reporting,and compliance workflows across multiple roles and campuses.6200+ contributions from May 2022 on GitHub (github.com/mch-ibrain)
2026
Designed and developed event management system to send timely reminders for important dates and events, allowing admin flexibly grouping up different categories employees based on their roles and locations to customize reminder preferences and ensuring high attendance and engagement. Implemented with queue-based architecture for scalability and reliability
2024
Designed a scheduling system to orchestra resources across 5+ roles and 3 campuses weekly 2000+ and daily 400+ sessions to be auditable and aligned with student attendance and employee PTO and availability; ensure session manageable under flexible constraints; generate reports for resource coordination and capacity planning.
2023-2024
Designed a goal progress tracking system to manage 30k+ goals and multiple years of data, enabling time shift monitoring of progress towards goals, generating insights with visualization of heat maps for clinicians, and providing actionable recommendations for next steps.
2024
Designed and developed a bank-like PTO system to manage staff time off, allowing customize PTO requests and track PTO in a transparent and auditable manner, ensuring alignment with scheduling and session coordination.
Managed user center and developed KYC verification flow for a cryptocurrency trading platform supporting 68k+ users, ensuring secure and compliant onboarding while maintaining a seamless user experience.
Designed an AI Orchestration Layer managing the full LLM workflow — data preparation, prompt construction, model routing (local vs API), output parsing, and validation guardrails, versioning and with human-in-the-loop — projecting ~33% reduction in clinician documentation time per reporting cycle.
End-to-end pipeline: export conversation data from multiple AI platforms, score, filter, clean, desensitize, convert, and fine-tune. Architecture insight: scoring before desensitization prevents placeholder leakage. Working adapter: local_claude_final2.
Browser extension injecting branch-marking UI into Claude, Gemini, ChatGPT, and Grok simultaneously, enabling precise branch marking, collapsing, and navigation across hundreds of messages. Platform-specific adapters handle DOM differences across four distinct interfaces.
Two-stage classification: Claude API (Haiku) for topic judgment, GPT for format summarization. Each model used where it outperforms the other. Designed to run before data desensitization to prevent placeholder contamination in training sets.
AI-powered job search assistant that helps users find relevant job opportunities based on their skills, experience, and preferences. The assistant provides personalized recommendations and streamlines the job application process.
Break tasks by complexity before touching code. Know the blast radius before you dig.
File by file. Line by line. Fresh context when things go in circles. No spaghetti.
Production first, polish second. Things that run matter more than things that look good in dev.
I am a full-stack developer with 5+ years of experience, mainly focused on backend systems: schema design, data integrity, versioning, query optimization, caching, async tasks, load balancing, and pagination. I also care about frontend performance, especially lazy loading, virtualization, debouncing, and throttling. Before engineering, I spent 6 years in medical research, which is why I remain especially interested in life science and healthcare domains. My curiosity and ability to break down complex issues into manageable parts help me achieve tasks across various subjects and industries