Software Engineering Engineer

William Zheng

Saratoga, CA, ***** *********@*****.*** 608-***-**** https://linkedin.com/in/william-zheng01/ Education

University of Wisconsin-Madison, MS in Electrical Computer Engineering Sep 2023 - Dec 2024 Coursework: Software Engineering, Big Data System, Machine Learning, Computer Vision Tongji University, BS in Electronics Science and Technology Sep 2018 - July 2022 Experience

Software Engineer, AlphaVision Options Inc – Saratoga, CA Dec 2024 - Present

• Architected and implemented a Celery/Redis based distributed option data processing system, reducing update time for 100+ stocks and 200k+ options from 4 minutes to 1 minute. Implemented pytest framework with 92% test coverage for 50+ Celery tasks.

• Designed and deployed a scalable microservices architecture on AWS EKS. Integrated Prometheus and Grafana for real-time performance monitoring. Implementing an SQS-based message queue for efficient task distribution, resulting in a 40% reduction in CPU usage and 25% decrease in memory consumption.

• Developed a comprehensive financial data pipeline, integrating API providers and implementing advanced data processing algorithms. Designed and deployed 7 PostgreSQL tables, enabling storage and retrieval of complex financial metrics for over 100 stocks. Utilized additional APIs for data validation and cross-referencing.

• Implemented a CI/CD pipeline using GitHub Actions, ensuring seamless updates and maintaining 99.9% system availability. Developed intelligent retry mechanisms and comprehensive logging systems, enhancing service reliability and facilitating rapid issue resolution in the production environment. Software Engineering Intern, Cloud Alliance Inc – Vienna, VA Jun 2024 - Aug 2024

• Developed a financial calendar system using FastAPI and SQLAlchemy for backend APIs, managing PostgreSQL databases for stock earnings and economic events data. Built a dynamic frontend with Vue.js for intuitive visualization.

• Implemented an AI-powered financial analysis agent using LangChain and OpenAI’s GPT-4, integrating real-time market data and news sources. Utilized LangSmith for debugging and performance optimization, resulting in a 25% reduction in analysis latency.

• Designed and implemented a custom Implied Volatility and Greeks calculation system for option data. Conducted research on relevant models and methodologies, developed a proprietary calculation script, and validated results against established financial websites. Achieved an average error rate of 3%, while reducing API costs by 40%. Research Assistant, Tongji University – Shanghai, China Aug 2022 - Aug 2023

• Deployed high-performance computing cluster with 8 NVIDIA A100 GPUs and 128-core EPYC CPUs, achieving 92% resource utilization through Docker containerization and Slurm job scheduling

• Developed Python/Bash monitoring system with Prometheus/Grafana integration, reducing GPU idle time by 35% through automated task allocation

• Optimized Deeplabv3 model using LoRA fine-tuning on Cityscapes dataset, achieving 8% accuracy boost while maintaining 30 FPS real-time inference

Projects

Maze Challenge Evaluation System

• Architected full-stack solution using Spring Boot with JWT authentication, handling 500+ concurrent API requests through optimized thread pooling and MySQL indexing strategies, achieving 98% endpoint reliability.

• Engineered Docker-based execution sandbox with resource limits and timeout controls, reducing container startup latency by 40% through image layer optimization, enabling parallel processing of 16% more submissions Weather Data Streaming Platform

• Designed Kafka-Spark streaming pipeline processing 15k messages/sec with exactly-once semantics, implementing checkpointing and AWS S3 tiered storage for 30-day data retention at 60% cost reduction

• Built gRPC-based microservices with connection pooling and TLS encryption, achieving 120ms P99 latency for weather alerts through protocol buffer optimizations and Kubernetes horizontal pod autoscaling Skills

Programming & Frameworks: Java, Python, C++, JavaScript, SQL, C#, HTML/CSS, Bash, Spring Boot, Vue.js Tools & Technologies: Linux, Git, Docker, Nginx, PostgreSQL, MySQL, Redis, Cassandra, Kafka, Spark Certification: AWS Certified Solutions Architect – Associate

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