Peter Huang

Tech: Python, C, Lua, Wireshark, XMT

• As an assessment, successfully implemented a Lua-based XMT dissector in Wireshark to extract and decode stock trade information from captured PCAP network packets, streamlining analysis of financial data streams

Tech: Azure Databricks, Azure Data Factory, Azure DevOps, Power BI, Git, SQL, Python

• Transformed million-scale raw data in varied formats (docx, pdf, html) within the Data Lake into gold datasets in the Data Warehouse, built interactive Power BI dashboards for business intelligence and data analytical insights
• Engineered ETL pipelines with Databricks and Data Factory, leveraged DevOps for Git-based version control and CI/CD procedure
• Improved JSON-like raw data ETL process to optimize efficiency and time complexity by 90%

Tech: NLP, LLM, Word Embeddings, PostgreSQL, Render, RAG, LangChain, BeautifulSoup

• Developed automated LLM pipeline to monitor SEC RSS feeds and extract information from filings (Extraction S-1 filings reached 90% accuracy)
• Implemented document chunking and semantic chunk matching using word embeddings, designed formatted output retrieval
• Integrated PostgreSQL for structured data storage. Deployed scalable and reliable availability system on Render

Tech: AWS, VPC, EC2, S3, RDS, IAM, CloudFront, Route 53

• Architected end-to-end AWS Cloud solutions, optimizing cost, performance, security, and scalability using VPC design (public/private subnets, NAT gateways, Internet gateways), EC2, S3, RDS, IAM, CloudFront, and Route 53
• Supported companies in listing and managing SaaS, AMI, and container products on the AWS Marketplace, including setup of billing, metering, and deployment configurations

Tech: Calculus, Physics, Programming

• Conducted tutoring sessions for 10+ students in Calculus, Mechanics, E&M, and Computer Programming

Tech: Python, PyTorch, OpenCV, ResNet-152

• Fine-tuned ResNet-152 on emotion detection dataset for real-time facial expression recognition
• Implemented live camera feed integration with visual effects based on detected emotions

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Tech: JavaScript, Chrome Extension API, Google Sheets API

• Developed a Chrome extension that automatically tracks job applications to a Google Sheet
• Implemented automatic data extraction from job posting pages

Tech: Python, BeautifulSoup, Web Scraping

• Scrapes 2500+ articles per hour from New York Times Magazine
• Records data in JSONL format for ML purposes

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