AI Engineer with 7+ years of experience building production backend services, data pipelines, and latency-sensitive workflows in high-volume environments. Strong in JavaScript/TypeScript fundamentals, REST APIs, debugging, and performance tuning. Delivered reliable systems supporting dashboards, analytics, and fast decision-making. Experienced with FastAPI, gRPC, PostgreSQL, Redis, and large-scale data processing, with a focus on validation, logging, observability, and high availability.

Jack Wang

AI Engineer with 7+ years of experience building production backend services, data pipelines, and latency-sensitive workflows in high-volume environments. Strong in JavaScript/TypeScript fundamentals, REST APIs, debugging, and performance tuning. Delivered reliable systems supporting dashboards, analytics, and fast decision-making. Experienced with FastAPI, gRPC, PostgreSQL, Redis, and large-scale data processing, with a focus on validation, logging, observability, and high availability.

Available to hire

AI Engineer with 7+ years of experience building production backend services, data pipelines, and latency-sensitive workflows in high-volume environments. Strong in JavaScript/TypeScript fundamentals, REST APIs, debugging, and performance tuning.

Delivered reliable systems supporting dashboards, analytics, and fast decision-making. Experienced with FastAPI, gRPC, PostgreSQL, Redis, and large-scale data processing, with a focus on validation, logging, observability, and high availability.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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Language

Work Experience

AI Engineer at Scale AI
April 1, 2022 - Present
Built and maintained Python (FastAPI/Pydantic), PostgreSQL-backed REST and gRPC services for enterprise document retrieval and evaluation across 2.1M documents from four customer sources. Designed API payloads consumed by React-based dashboards and product workflows, adding validation, logging, and load testing to sustain 99.95% availability. Focused on production reliability, debuggability, and performance for downstream analytics and decision-making systems.
Machine Learning Engineer at Two Sigma
February 1, 2019 - March 1, 2022
Built and maintained Python, PySpark, SQL, and Apache Spark pipelines processing ~3TB/day of structured and time-series data across 1.2B+ observations. Tuned joins and aggregations to reduce rerun time, and stabilized downstream research dashboards and model inputs via better partitioning, schema management, and validation.
Software Engineer Intern at Uber
May 1, 2018 - August 1, 2018
Developed a Java 8 REST service within Uber Maps to classify 300k+ route alternatives generated by the routing engine. Returned structured JSON for downstream features, emphasizing clear API contracts, debugging, and code quality for safe use in a high-traffic environment.
Software Engineer Intern at Kloudless
September 1, 2017 - December 1, 2017
Extended Kloudless Unified Cloud Storage API using Python, Django, and Django REST Framework by integrating nine Google Drive API v3 endpoints (files, folders, permissions, Team Drives, metadata, export, and change tracking). Improved sync workflow coverage and provided cleaner REST responses for partner applications.
Software Engineer Intern at Oracle
May 1, 2017 - August 1, 2017
Built an internal Java 8 REST/JSON service for Oracle Public Cloud to mock and capture interactions across 20 endpoints between two application components. Added 50+ configurable success/failure scenarios to help engineers debug integrations and validate changes before release.

Education

B.S. Computer Science at University of California, Berkeley
August 1, 2015 - May 1, 2018

Qualifications

AWS Certified Knowledge Architect
January 11, 2030 - August 27, 2026
Python & Django REST Bootcamp
January 11, 2030 - August 27, 2026
Microsoft Certified: Azure Fundamentals
January 11, 2030 - August 27, 2026
AWS Cloud Concepts
January 11, 2030 - August 27, 2026
Data Manipulation with pandas
January 11, 2030 - August 27, 2026
Google Cloud Big Data & Machine Learning Fundamentals
January 11, 2030 - August 27, 2026

Industry Experience

Software & Internet, Professional Services