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AI and machine learning researcher and engineer focused on building robust computer vision and temporal event-detection systems. Experience spans unsupervised modeling for EEG event localization, deployment of CV/NLP systems, and engineering scalable real-time AI services. Leads cross-functional technical projects, designing modular architectures and improving quality, latency, and throughput for production systems. Strong foundation in PyTorch/Transformers, computer vision (YOLO/DETR), probabilistic sequence modeling (HSMM/HMM), and data/ML engineering (Docker, Redis, gRPC, SQL/NoSQL).…AI and machine learning researcher and engineer focused on building robust computer vision and temporal event-detection systems. Experience spans unsupervised modeling for EEG event localization, deployment of CV/NLP systems, and engineering scalable real-time AI services. Leads cross-functional technical projects, designing modular architectures and improving quality, latency, and throughput for production systems. Strong foundation in PyTorch/Transformers, computer vision (YOLO/DETR), probabilistic sequence modeling (HSMM/HMM), and data/ML engineering (Docker, Redis, gRPC, SQL/NoSQL).

Jiongjiong Li

AI Engineer, Data Scientist, Web Developer, +4

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AI and machine learning researcher and engineer focused on building robust computer vision and temporal event-detection systems. Experience spans unsupervised modeling for EEG event localization, deployment of CV/NLP systems, and engineering scalable real-time AI services. Leads cross-functional technical projects, designing modular architectures and improving quality, latency, and throughput for production systems. Strong foundation in PyTorch/Transformers, computer vision (YOLO/DETR), probabilistic sequence modeling (HSMM/HMM), and data/ML engineering (Docker, Redis, gRPC, SQL/NoSQL).…AI and machine learning researcher and engineer focused on building robust computer vision and temporal event-detection systems. Experience spans unsupervised modeling for EEG event localization, deployment of CV/NLP systems, and engineering scalable real-time AI services. Leads cross-functional technical projects, designing modular architectures and improving quality, latency, and throughput for production systems. Strong foundation in PyTorch/Transformers, computer vision (YOLO/DETR), probabilistic sequence modeling (HSMM/HMM), and data/ML engineering (Docker, Redis, gRPC, SQL/NoSQL).

Available to hire

AI and machine learning researcher and engineer focused on building robust computer vision and temporal event-detection systems. Experience spans unsupervised modeling for EEG event localization, deployment of CV/NLP systems, and engineering scalable real-time AI services.

Leads cross-functional technical projects, designing modular architectures and improving quality, latency, and throughput for production systems. Strong foundation in PyTorch/Transformers, computer vision (YOLO/DETR), probabilistic sequence modeling (HSMM/HMM), and data/ML engineering (Docker, Redis, gRPC, SQL/NoSQL).

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

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Intermediate

Language

Work Experience

Student Developer at MuscleX Lab, Chicago, IL

July 1, 2025 - September 30, 2025

Led a team of two developers on MuscleX, an NIH-funded UI toolbox for analyzing diffraction X-ray images, improving quality by 30%. Designed an event-driven three-layer architecture that reduced code redundancy by 15% and improved customer experience by 10%, enabling reusable components for evolving requirements. Improved image-processing quality by 12% using OpenCV image transformation methods.

Student Developer at MuscleX Lab

July 1, 2025 - September 1, 2025

Led a team of two developers on MuscleX, a UI toolbox funded by NIH to support researchers analyzing diffraction X-ray images. Designed an event-driven three-layer architecture that reduced code redundancy and improved workflow flexibility and reuse. Improved image-processing quality using OpenCV image transformation methods.

Student Researcher at IConSenSe Lab, Chicago, IL

January 1, 2025 - Present

Developed a synthetic EEG benchmark dataset with 100 trials and 5 simulated brain events using forward modeling to evaluate temporal event detection algorithms. Recovered all simulated events with temporal localization errors below 500 ms using an unsupervised Hidden Semi-Markov Model (HSMM). Extended HSMM to real EEG data from a moving-dots experiment (5 participants, 900 trials) and identified an event associated with the decision-making stage.

Student Researcher at IConSenSe Lab

January 1, 2025 - Present

Developed a synthetic EEG benchmark dataset (100 trials) with 5 simulated brain events using forward modeling to evaluate temporal event detection algorithms. Recovered all 5 simulated events with temporal localization errors below 500 ms using an unsupervised Hidden Semi-Markov Model (HSMM). Applied HSMM to EEG data from a moving-dots experiment (5 participants, 900 trials) and identified one cognitive event associated with the decision-making stage.

Freelance AI Consultant at Self-Employed, Greater Chicago Area, IL

January 1, 2023 - November 30, 2024

Constructed and deployed 5 CV and NLP models for business problems, improving operational efficiency by 7% on average through automated data processing and better decision-making. Built a tank truck detection model integrating YOLO with a DETR head, reducing detection latency by 10% while maintaining comparable accuracy.

Freelance AI Consultant at Self-Employed

January 1, 2023 - November 1, 2024

Constructed and deployed 5 CV and NLP models to address business problems, improving operational efficiency by 7% on average and automating data processing to enhance decision-making. Built a tank truck detection system by integrating YOLO with a DETR head, reducing detection latency by 10% while maintaining comparable accuracy.

AI Lead at Alpha Insight Technology, Shanghai, China

January 1, 2021 - October 31, 2022

Managed a team of 6 engineers and delivered 10+ financial document processing projects, reducing system maintenance costs by 11% and increasing financial report analysis throughput by 12%. Owned end-to-end development of a financial report analysis system, designing a three-layer architecture achieving 500 reports/day throughput. Fine-tuned YOLO and Table Transformer models to extract financial tables, improving accuracy by 10%.

AI Lead at Alpha Insight Technology

January 1, 2021 - October 1, 2022

Managed a team of 6 engineers and delivered 10+ financial document processing projects. Reduced system maintenance costs by 11% and increased financial report analysis throughput by 12%. Owned the full development lifecycle of a financial report analysis system, including a scalable three-layer architecture achieving throughput of 500 reports per day. Fine-tuned YOLO and Table Transformer for financial table extraction, improving accuracy by 10%.

AI Engineer at Tongdun Technology, Shanghai, China

June 1, 2018 - December 31, 2020

Collaborated with 4 team members to build a customer support QA chatbot, improving accuracy by 5% by integrating BERT-based NLP models into a customized dialogue management workflow. Developed real-time AI services using gRPC and Redis, reducing API latency by 12%.

AI Engineer at Tongdun Technology

June 1, 2018 - December 1, 2020

Collaborated with 4 team members to build a customer support QA chatbot. Improved accuracy by 5% by integrating BERT-based NLP models into a customized dialogue management workflow. Developed real-time AI services using gRPC and Redis, reducing API latency by 12%.