F

Foma Lim

About

Detail

Python Backend developer | 6 years+ | CoreML/AI | Web3
London, England, United Kingdom

Contact Foma regarding: 
work
Full-time jobs

Timeline


work
Job
school
Education

Résumé


Jobs verified_user 0% verified
  • S
    Senior Python Engineer (AI & Backend)
    Apr 2023 - Current (3 years 7 months)
    • Engineered internal documentation chatbot that answers engineering questions using company knowledge base. Cut average time-to-answer from 12 minutes to 90 seconds for 40+ engineers; 85% of queries resolved on first response.
    • Replaced vendor OCR system with in-house ML-powered document validation pipeline, processing 50K+ KYC documents monthly at 98.7% accuracy and eliminating $174K in annual licensing costs.
    • Implemented automated payout system for 500+ field agents, replacing 20 hours/week of manual work. 99.97% delivery rate over 450K+ transactions.
    • Unified monitoring across 8 backend services with automated alerting, dropping mean detection time from 47 to 11 minutes.
    • Replaced HTTP polling with WebSocket lay
  • Shift Markets
    Senior Backend Engineer
    Shift Markets
    Mar 2021 - Apr 2023 (2 years 2 months)
    • Optimized API for 12K+ RPS peak trading load, reducing p99 latency from 340ms to 89ms via async architecture, connection pooling, and tiered caching.
    • Led monolith-to-microservices migration into 8 independent services, cutting deployment time from 4 hours to 55 minutes and enabling targeted scaling during market spikes.
    • Architected multi-chain transaction processor across three blockchain networks, handling 1.4M+ transactions monthly at 99.95% confirmed delivery with auto-retry and reorg detection.
    • Deployed tiered cache for market data feeds, cutting database queries 87% and infrastructure costs $4.2K/month. Technologies: Python, Django, FastAPI, Celery, PostgreSQL, PgBouncer, Redis,
  • Atlas Cloud
    Backend Engineer
    Atlas Cloud
    Feb 2019 - Mar 2021 (2 years 2 months)
    • Led on-premises to AWS migration with zero downtime, achieving 41% annual cost reduction through database consolidation and elimination of dedicated DBA overhead. Maintained 99.95% uptime SLA.
    • Designed dynamic VDI auto-scaling based on real-time session metrics, reducing compute costs $6.8K/month with graceful session drainage.
    • Developed deployment pipeline reducing release cycles from 2 weeks to under 2 hours with zero-downtime rolling deployments and auto-rollback. Technologies: Python, Flask, SQLAlchemy, PostgreSQL, AWS, Terraform, Docker, GitHub Actions, Linux.
Education verified_user 0% verified
  • University of Westminster
    University of Westminster — Master's degree, Data Science and Analytics
    University of Westminster
    Jan 2019 - Dec 2021 (3 years)
  • University of Westminster
    University of Westminster — Bachelor's degree, Computer Science
    University of Westminster
    Jan 2015 - Dec 2019 (5 years)
This is a community-created genome.