Elias Tong

• •Co-founded fintech startup building AI-powered trading infrastructure, leveraging finance background from Embry Riddle to design quantitative research tools
• •Leading team of 2-3 engineers with diligent focus on code quality, daily standups, sprint planning, and collaborative problem-solving
• •Collaborating closely with business stakeholders and advisors on product roadmap, risk management, and compliance requirements
• •Built backtesting engine processing historical tick data across multiple instruments, taking full ownership and responsibility for data accuracy
• •Leading full-stack development: Next.js 16 frontend, FastAPI microservices, PostgreSQL/Redis backend serving real-time market data with 99.5% uptime
• •Developed ML pipeline with PyTorch for alpha signal generation, showing promising results in backtests (still optimizing for real trading)
• •Managing infrastructure responsibly: AWS EC2/RDS, Docker containerization, GitHub Actions CI/CD with comprehensive monitoring and alerting

• •Led team of 5 engineers building AI-powered education platform from 0 to 50K+ monthly active users, taking full responsibility for technical decisions and delivery
• •Collaborated closely with product managers, CEO, and stakeholders on feature prioritization, sprint planning, and cross-functional alignment
• •Diligently managed team operations: daily standups, code reviews, 1-on-1s, performance evaluations, ensuring high code quality and team morale
• •Architected microservices system: 6 FastAPI services, PostgreSQL 15 (5M+ records), React 18 admin dashboard, Redis caching layer reducing DB load by 65%
• •Deployed BERT-based NLP models (110M parameters) for Chinese text classification achieving 91.2% F1 score, optimized inference from 450ms to 280ms with ONNX
• •Built production ETL infrastructure with Apache Airflow processing 100K+ daily records from 5+ sources, implemented CDC for real-time data sync
• •Established DevOps culture: GitHub Actions CI/CD (2hrs → 20min deployment), Prometheus/Grafana monitoring (30+ metrics), <5min incident detection
• •Mentored 3 junior engineers on ML model deployment, code review practices, and production debugging; conducted weekly technical talks on system architecture
• •Responsibly handled critical production issues with 24/7 on-call rotation: database query optimization (3s → 180ms), memory leak resolution, load balancer config

• •Co-founded travel recommendation platform as technical co-founder, taking full ownership and responsibility for entire technical stack
• •Led and managed remote team of 2 engineers with diligent focus on deliverables, established code review process, Git workflow, and documentation standards
• •Collaborated with co-founders, investors, and business advisors on strategic direction, fundraising materials, and go-to-market strategy
• •Built full-stack application: React frontend, 6 FastAPI microservices, PostgreSQL database (2M+ user interactions), deployed on AWS with auto-scaling
• •Developed hybrid ML recommendation engine combining collaborative filtering (ALS), LightGBM ranking (0.78 NDCG@10), and content-based filtering
• •Integrated 3 external APIs (Expedia, Amadeus, proprietary data) handling 50K+ hotels, 200K+ flights; implemented Redis caching reducing latency by 30%
• •Led product development responsibly: conducted 12 user research sessions, prioritized features, ran A/B tests measuring 20% engagement improvement
• •Achieved product-market fit with 10K+ daily recommendations, conversion rate increased 15%, average session time improved from 8.2min to 9.8min

• •Joined as first engineering hire for B2B SaaS startup, collaborating directly with CEO and product manager to build MVP from scratch
• •Took full ownership and responsibility for technical architecture, deployment, and maintenance serving 20+ enterprise clients
• •Diligently delivered on aggressive timelines: shipped MVP in 3 months with weekly demos to stakeholders and incorporated feedback responsibly
• •Architected multi-tenant SaaS platform: Next.js dashboard, FastAPI backend, PostgreSQL with row-level security, Stripe payment integration
• •Implemented role-based access control (RBAC) with 5 permission levels, audit logging, and GDPR compliance features with meticulous attention to security
• •Built real-time analytics dashboard with WebSocket updates, processing 100K+ events daily, visualizing business metrics with Recharts
• •Deployed on AWS: ECS Fargate for containers, RDS for database, CloudFront CDN, achieving 99.9% uptime through diligent monitoring and optimization
• •Established technical documentation, API specs (OpenAPI 3.0), and onboarding guides for future engineering hires, ensuring smooth knowledge transfer

Programming Languages

Frameworks & Libraries

Databases

Quantitative Finance

Tools & Technologies

Cloud Platforms