Tam Le
985-***-**** *********@*****.*** https://www.linkedin.com/in/tamle7422
Core Technical Skills
Languages & Runtimes: Node.js, Python, JavaScript/TypeScript, Java, C++
Performance & Tools: Worker Threads, Streaming I/O, Docker, pytest, BLAKE3 Hashing, Git
Data & AI: Machine Learning Models (Regression/Classification/Clustering), ETL/SSIS, Pandas/NumPy, Data Mining
Web & Backend: RESTful APIs, Web Applications, Agile Development, SQL/NoSQL
Professional Summary
Results-driven Software Engineer with a strong foundation in full-stack development, high-performance backend systems, and AI-adjacent tooling. Experienced in Node.js (worker_threads, streaming I/O, concurrency optimization), Python, Docker, and complex database/ETL workflows. Recently authored highly optimized Terminal-Bench tasks for Snorkel AI, delivering >12,000 rows/sec CSV processing on million-row datasets with <15 MB heap usage. I thrive on building scalable, reproducible solutions that solve real enterprise and client challenges while collaborating effectively in agile environments to deliver measurable performance gains and quality improvements. Complementing my technical expertise, I have been actively reading tarot since November 2024 — first for deep personal insight and pattern recognition, and since April 2026 for others via the Salvia Tarot app. This practice has sharpened my intuition, active listening, and ability to synthesize complex, ambiguous information into clear, actionable guidance. It enhances my engineering work by strengthening empathy for end users, creative problem-solving under uncertainty, and a holistic approach to system design and debugging. Whether optimizing backend performance or helping someone navigate life decisions, I bring analytical precision, curiosity, and a genuine drive to uncover meaningful solutions.
Skills
Technical
Node.js (expert-level), Python, TypeScript/JavaScript, Docker, React/Next.js, FastAPI/Express, PostgreSQL, MongoDB, Redis, AWS, ETL pipelines, Machine Learning (Pandas, NumPy), Snorkel AI, Terminal-Bench.
Divinatory Practices
Tarot (professional reader), Astrology (natal & transit charts), Numerology — with strong emphasis on intuition, active listening, symbolic analysis, and translating complex patterns into practical advice.
Professional Experience
Professional Tarot Advisor
Salvia Tarot Platform (April 2026 – Present)
Conduct personalized tarot and intuitive guidance sessions for online clients through chat-based readings
Maintain approximately 85% plus favorable client feedback rating through clear communication and client engagement
Provide insight on relationships, personal growth, decision-making, and emotional wellness topics
Develop strong active listening, interpersonal communication, and emotional intelligence skills in a fast-paced online environment
Manage multiple client interactions while maintaining professionalism and confidentiality
Build repeat client engagement through consistency, empathy, and detailed readings
Independent Software Developer & AI Contributor
Self-Employed / Freelance (November 2025 – January 2026)
Authored high-performance Terminal-Bench (Harbor) tasks for Snorkel AI (Dec 2025), developing optimized Node.js CSV processors achieving >12,000 rows/sec throughput on 1M-row datasets with <15 MB peak heap usage via streaming I/O (readline, csv-parse) and worker_threads.
Designed deterministic Merkle-tree snapshot diff engine using BLAKE3 hashing; implemented robust change detection (add/remove/modify/move) for files/directories, with structured JSON output, human-readable diffs, and full Dockerized reproducibility.
Built automated test suites (pytest), verification scripts (bash), anti-cheating measures, and CI/CD-style evaluation pipelines ensuring consistent, secure, and reproducible LLM agent evaluations.
Developed classification/prediction application for tarot card readings based on text/keyword inputs; explored full-stack and ML concepts in personal projects (Node.js, Python, data processing).
Continuously self-directed learning and implementation across computer science topics, including web development, data science, and emerging AI tools.
Spark Driver
Walmart (April 2026 – Present)
Completed 25+ successful deliveries with high on-time performance in a fast-paced gig environment. Maintained positive customer ratings by providing excellent service, clear communication, and careful handling of orders
Efficiently multi-app’d and optimized delivery routes using GPS and real-time traffic data to maximize earnings and minimize downtime
Demonstrated strong time management and reliability by consistently meeting tight delivery windows for grocery and large-item orders
Safely operated personal vehicle while adhering to all traffic laws, company policies, and COVID/safety protocols
Built positive relationships with Walmart store personnel to ensure smooth order pickup and faster turnaround times
Delivery Driver
DoorDash (Feburary 2026 – Present)
Delivered 150+ customer orders with a strong focus on accuracy, speed, and order integrity
Consistently achieved Top Dasher status through excellent performance metrics and high customer satisfaction ratings
Expertly navigated urban and suburban areas using app-based routing tools while adapting to changing conditions
Provided outstanding customer service by communicating proactively about delays, substitutions, and delivery issues
Maintained a clean driving record and vehicle upkeep standards to ensure safe and professional service
Demonstrated flexibility and self-motivation by working varying shifts, including evenings, weekends, and peak hours
Software Engineer
Accenture Federal Services (October 2021 – April 2022) (Remote)
Collaborated on project staffing initiatives, self-trained in ethics/compliance, and volunteered for Hour of Code mentoring students in computer science fundamentals.
Contributed to sub-projects in Python, Node.js, Angular, React, JavaScript, Big Data, Blockchain, C++, Java, Pandas, NumPy, and cloud technologies.
Data Scientist / Software Engineer
IBM Global Business Services (December 2018 – September 2021) (Baton Rouge, LA)
Developed and maintained agile web applications for skills tracking; migrated prediction/reporting tools from Python 2 to 3 with performance enhancements.
Designed and implemented machine learning models (regression, classification, clustering) for enterprise projects.
Supported NYS DOL unemployment insurance programs during COVID-19, including data entry, analysis, and call center services under CARES Act guidelines.
Contributed as data scientist on C3/Shell CARMA (Corrosion Advanced Risk Modeling) and Newmont material criticality classification projects.
Associate Data Specialist / Integration Developer
Blue Cross Blue Shield of Louisiana (May 2014 – May 2017) (Baton Rouge, LA)
Built and maintained ETL processes, SSIS packages, SQL integrations, database monitoring, and on-call debugging for healthcare data systems.
Performed enhancements, package monitoring, and troubleshooting to ensure reliable data flows.
Additional Experience
Earlier roles included software development with Oracle Forms, Java Hibernate, Spring Boot, and restaurant operations, building foundational skills in full-stack development, database management, and customer-facing service.
Education
Master of Science in Computer Science (Coursework Completed; 1 Semester Remaining)
University of Louisiana at Lafayette, Lafayette, LA
2013 – 2014
Bachelor of Science in Computer Engineering
Louisiana State University, Baton Rouge, LA
Graduated 2005
Dean’s List & Chancellor’s Honor Roll
TOPS Scholarship Recipient (Merit-based state scholarship for Louisiana residents)
J. Ray McDermott, Inc. Scholarship
Additional Information
GitHub: https://github.com/tamle7422 (Portfolio of personal projects, Node.js/Python explorations, and AI-related contributions).
Interests: Community volunteering, staying active (volleyball leagues), and ongoing language learning for cross-cultural communication and adaptability.