Open to opportunities

Jack Wang

@jackwang1

Senior software engineer building scalable Python backend, data platforms, and LLM-powered workflows that ship reliably.

United States

Message

What I'm looking for

I’m looking to lead backend and data/ML platform work—designing production APIs, real-time pipelines, and LLM automation—at a team that values reliability, scalable architecture, and hands-on engineering impact.

I’m a Senior Software Engineer with 10+ years of experience designing and building scalable backend systems, data platforms, and machine learning workflows using Python. I’m passionate about leveraging Python and modern technologies to solve complex problems and deliver reliable, high-impact systems.

At Scale AI, I built a Python-based data processing platform with FastAPI to replace brittle batch scripts, adding consistent validation, transformation, and versioning for large annotation datasets. I implemented LLM-powered workflows using OpenAI APIs, and scaled distributed task execution with Celery + Redis while designing a real-time ingestion pipeline with Apache Kafka.

I also strengthen production quality and performance through schema enforcement and validation with Pydantic, redesigned PostgreSQL queries and indexing strategies to reduce latency, and deployed microservices on AWS using Terraform. Previously, at Two Sigma, I built end-to-end ML pipelines with scikit-learn, XGBoost, PySpark, TensorFlow, and MLflow—turning research into scalable production systems.

Experience

Work history, roles, and key accomplishments

Current

Senior Software Engineer

Current

Scale AI

Apr 2022 - Present (4 years 2 months)

Built a Python-based data processing platform with FastAPI to replace brittle batch scripts, improving consistent validation, transformation, and versioning of annotation datasets for model training. Implemented LLM-powered workflows with OpenAI APIs and added Celery + Redis for asynchronous processing, plus Kafka-based real-time ingestion to keep downstream systems updated without batch delays.

Python fastAPI OpenAI API Apache Kafka Celery Redis Pydantic AWS ECS Terraform

Machine Learning Engineer

Two Sigma

Feb 2019 - Mar 2022 (3 years 1 month)

Built end-to-end machine learning pipelines using scikit-learn and XGBoost to transform raw financial data into predictive models for trading strategies. Developed time-series deep learning models with TensorFlow, created PySpark feature engineering pipelines for large datasets, and improved reliability with validation/backtesting plus MLflow experiment tracking.

Python scikit learn XGBoost TensorFlow Pyspark Time Series Models MLFlow Feature Engineering Hadoop Docker

Software Engineer Intern

Uber

May 2018 - Aug 2018 (3 months)

Built Python (Flask) backend services supporting internal ride-data analysis across multiple regions. Improved API performance and reliability by introducing Memcached for frequently accessed metrics, designing REST APIs for trip-level aggregation, and adding PyTest unit tests to reduce regression issues.

Python Flask REST APIs MemCached Unit Testing Pytest API Performance Data Aggregation Backend Services Git

Software Engineer Intern

Kloudless

Sep 2017 - Dec 2017 (3 months)

Built React components to visualize data from multiple cloud storage providers in a unified interface. Implemented data normalization for inconsistent third-party formats and improved data consistency using MongoDB/Mongoose and Mocha/Chai validation, alongside Selenium-based cross-platform testing.

React JavaScript MongoDB Mongoose Mocha Data Normalization Selenium REST APIs Testing Automation

Software Engineer Intern

Oracle

May 2017 - Aug 2017 (3 months)

Created internal operational dashboards using HTML/CSS/JavaScript and automated repetitive data-processing tasks with Python scripts. Built basic backend APIs with Django and added unit tests to ensure correctness and catch edge cases early.