Contact

+1 (201)-713-1848

[email protected]

Manhattan, New York, USA

https://www.linkedin.com/in/koodall-jesseqin-phd/

Key Skills

• AI & Machine Learning Systems
• Scalable TechOps & Infrastructure
• Recommendation Engine Development
• Strategic Project Execution
• Cross-functional Team Leadership
• Cybersecurity & System Reliability
• Data Engineering & Analytics
• Cloud Platforms (AWS, GCP)

Education

Ph.D. in Computer Engineering

Rutgers University, GPA: 3.8, 05/2021

Master of Science in Business Analytics and AI (MSBAi)

NYU Stern School of Business, 05/2025

Master of Science in Computer Engineering

Rutgers University, GPA: 3.8, 05/2016

Certifications

Project Management Professional (PMP)

Issued by Project Management Institute

Date of Issuance: August 2023

Awards & Honors

Rutgers ECE Capstone Top Ten Winner

Rutgers University | May 2014

ISA Process Measurement and Control Scholarship

ISA PMCD | December 2013

Professional Affiliation

Member, Project Management Institute (PMI)

Languages

●      English (Professional)

●      Chinese (Native)

Professional Summary

Versatile AI technologist and platform strategist with 8+ years of experience building scalable infrastructure, recommendation systems, and GenAI-powered products. Ph.D. in Computer Engineering and MSBA in AI from NYU Stern. Proven success driving 0→1 product launches, leading cross-functional teams, and aligning technical vision with business goals. Fluent across backend, GenAI agent design, distributed systems, and AI-driven business strategy.

Professional Work Experience

Koodall AI Inc.

Vice President of TechOps

Providence | 04/2024 - Present

• Built and launched a stable, scalable backend for FaceAR SDK, GenAI editor, and recommendation engine, supporting real-time AI inference and future scaling.
• Designed cloud architecture (Python, FastAPI, Docker, AWS) that reduced setup time by 40% and ensured production-grade reliability.
• Led cross-functional collaboration (engineering, product, design, sales), speeding product iteration cycles by 30%.
• Established full-stack observability (monitoring, cost dashboard, audit logging), improving operational efficiency by 25%.
• Acted as technical lead and project owner, ensuring smooth planning, delivery, and post-launch optimization.

GETTR USA

Director Of TechOps

Manhattan, NY, USA | 01/2023 - 03/2024

• Redesigned global cloud infrastructure, achieving 99.99% uptime and cutting IT costs by $500K in 3 months.
• Led SRE and DevOps operations, improving incident response speed by 45% through monitoring and replication systems.
• Streamlined backend support for moderation, trust & safety, and mobile release teams, reducing processing time by 35%.

Senior Data Analytics Engineer

Manhattan, NY, USA | 03/2022 - 12/2022

• Designed and deployed a hybrid recommendation engine (user behavior, content similarity, social graph), boosting engagement by 43% and doubling video watch time.
• Built BI dashboards for MAU, DAU, retention, enabling data-driven leadership decisions.

Backend Engineer

Manhattan, NY, USA | 05/2021 - 02/2022

• Built Elasticsearch-based search and data pipelines from scratch, scaling GETTR to over 1M users within 3 days of launch.

Rutgers Informatics Discovery Institute

Graduate Assistant

New Brunswick, NJ, USA | 09/2015 - 05/2021

• Developed distributed workflows for real-time analytics, supporting national science observatories (OOI, GAGE).
• Contributed to Rutgers HPC cluster (#167 in Top500) deployment and optimization, enhancing multi-disciplinary compute capacity.
• Published 7+ peer-reviewed papers on distributed caching, workflow scheduling, and infrastructure innovation.

Publications

• Toward Democratizing Access to Facilities Data: A Framework for Intelligent Data Discovery and Delivery, IEEE CiSE
• Leveraging User Access Patterns and Advanced Cyberinfrastructure to Accelerate Data Delivery, FGCS
• Facilitating Data Discovery for Large-scale Science Facilities using Knowledge Networks, IPDPS
• Enabling Data Streaming-based Science Gateways through Federated Cyberinfrastructure, Gateways
• Towards a Smart, Internet-scale Cache Service for Data Intensive Scientific Applications, ACM SCC
• Exploring Power Budget Scheduling Opportunities and Tradeoffs for AMR-Based Applications, SBAC-PAD
• Cloud-based Data Analytics Framework for Autonomic Smart Grid Management, IEEE CAC

📄 Download My Resume

Curious about my background or looking to collaborate?

Feel free to check out my full resume — it highlights my work across AI, GenAI, and platform strategy.

👇

Jesse Qin Resume 2025.pdf

Let’s build something great together!