• Backend Development: Python (FastAPI/Django), Node.js, Java (Spring Boot)
• Cloud Infrastructure: AWS, Terraform, Docker, Linux System Programming
• Focus: Building scalable distributed systems and optimizing resource efficiency.

Building a High-Performance FaaS Platform from Scratch (on EC2 & Docker)

"Why accept the Cold Start latency of managed services when you can engineer it away?"

Designed and implemented a proprietary Serverless Engine to overcome the limitations of AWS Lambda (Cold Start & Monitoring).

• Core Engine: Built a custom orchestrator replacing Kubelet, managing container lifecycles via direct Docker Socket control.
• Zero Cold Start: Engineered a "Heavy Warm Pool" architecture, reducing function wakeup time by 95% (sub-100ms).
• Kernel-Level Tuning: Developed a Smart Auto-Tuner leveraging Linux Cgroup v2 metrics (memory.peak, cpu.stat) to optimize resource allocation automatically.
• Event-Driven Scaling: Implemented a SQS Backlog-based autoscaler using Terraform ASG policies to handle burst traffic reliable.

Large-scale Power Data Analysis & AI Model Serving

Backend Lead & Data Engineer

• Pipeline Optimization: Refactored Airflow ETL workflows, reducing daily data processing time by 60%.
• Real-time Serving: Wrapped heavy ML models with FastAPI for low-latency inference, ensuring high availability for end-users.

Elasticsearch-based GEO Search Platform

Backend Developer

• Search Performance: Migrated complex RDB queries to Elasticsearch, boosting search speed from 2.0s to 0.2s (10x) using inverted indexes.
• DevOps: Standardized the entire development lifecycle using Docker Compose, reducing onboarding time for new team members.

Google Solution Challenge 2024 - Global Top 100

Backend Architecture & Cloud Deployment

• Global Scalability: Designed a scalable backend usage Firebase & Cloud Functions to support users worldwide.
• Recognition: Selected as a Top 100 project globally, recognized for technical execution and social impact.