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AI and data engineering researcher focused on building scalable data pipelines and machine learning systems. Experience spans large-scale data quality, deduplication/reconciliation workflows, and developing production-grade infrastructure for research and analytics. Software and ML developer with a strong background in C++/Python, distributed systems, and optimization/calibration for generative and probabilistic models. Also a long-term bot/platform engineer with high user growth and reliable high-throughput request handling.…AI and data engineering researcher focused on building scalable data pipelines and machine learning systems. Experience spans large-scale data quality, deduplication/reconciliation workflows, and developing production-grade infrastructure for research and analytics. Software and ML developer with a strong background in C++/Python, distributed systems, and optimization/calibration for generative and probabilistic models. Also a long-term bot/platform engineer with high user growth and reliable high-throughput request handling.

Eric Liang

Programmer, Developer, Data Scientist, +3

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AI and data engineering researcher focused on building scalable data pipelines and machine learning systems. Experience spans large-scale data quality, deduplication/reconciliation workflows, and developing production-grade infrastructure for research and analytics. Software and ML developer with a strong background in C++/Python, distributed systems, and optimization/calibration for generative and probabilistic models. Also a long-term bot/platform engineer with high user growth and reliable high-throughput request handling.…AI and data engineering researcher focused on building scalable data pipelines and machine learning systems. Experience spans large-scale data quality, deduplication/reconciliation workflows, and developing production-grade infrastructure for research and analytics. Software and ML developer with a strong background in C++/Python, distributed systems, and optimization/calibration for generative and probabilistic models. Also a long-term bot/platform engineer with high user growth and reliable high-throughput request handling.

Available to hire

AI and data engineering researcher focused on building scalable data pipelines and machine learning systems. Experience spans large-scale data quality, deduplication/reconciliation workflows, and developing production-grade infrastructure for research and analytics.

Software and ML developer with a strong background in C++/Python, distributed systems, and optimization/calibration for generative and probabilistic models. Also a long-term bot/platform engineer with high user growth and reliable high-throughput request handling.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

Javanese

Advanced

Afar

Intermediate

Bashkir

Advanced

Work Experience

Constrained Optimization for Generative Classification Research Project Engineer

September 1, 2025 - December 20, 2025

Developed a flow-based generative classifier using constrained optimization to jointly optimize predictive accuracy and probabilistic calibration. Implemented a configurable experimentation framework using Hydra and Weights & Biases for hyperparameter sweeps and experiment tracking. Reduced calibration error by over 90% (0.0025 ECE vs 0.03 baseline) while maintaining 98.5% accuracy on MNIST. Achieved state-of-the-art generative quality (0.88 bits/dim).

Constrained Optimization for Generative Classification Research Project

September 1, 2025 - December 1, 2025

Developed a flow-based generative classifier using constrained optimization to jointly optimize predictive accuracy and probabilistic calibration. Implemented a configurable experimentation framework using Hydra and Weights & Biases to manage hyperparameter sweeps and experiment tracking. Reduced calibration error by more than 90% (0.0025 ECE vs 0.03 baseline) while maintaining 98.5% accuracy on MNIST. Achieved SOTA generative quality (0.88 bits/dim).

Bayesian Neural Network and PAC-Bayes Research Collaborator

November 1, 2024 - June 20, 2025

Collaborated with a partner to implement and reproduce research on optimizing Bayesian Neural Networks using PAC-Bayes bounds. Extended the work by integrating second-order methods to improve bounds and accuracy.

Bayesian Neural Network and PAC-Bayes Research (Personal Project)

November 1, 2024 - June 1, 2025

Research Assistant at McMaster University

September 20, 2024 - September 20, 2025

Engineered scalable data collection pipelines for Instagram and TikTok, collecting hundreds of thousands of records for business research and analytics. Developed monitoring and validation processes to ensure reliable ingestion despite frequent platform changes. Investigated large-scale data quality issues in a 90 million record merchandised dataset, identifying multiple sources of duplicate product records across contributing vendors. Built scalable duplicate-detection and reconciliation workflows balancing accuracy, computational feasibility, and business research requirements.

Independent Software Project Developer at C++ Discord Bot Platform (Koibot)

July 1, 2021 - Present

Developed and maintained a C++ chatbot for 5+ years, growing to 50,000+ active users and generating $8,000+ CAD in revenue. Built multithreaded request handling and caching systems supporting thousands of daily requests. Implemented A* search algorithms and game-specific optimization heuristics for puzzle solving. Designed MongoDB-backed persistence systems for storing and retrieving user data.

Software Project: C++ Discord Bot (Koibot)

July 1, 2021 - Present

Developed and maintained a C++ chatbot over 5 years, growing to 50,000+ active users and generating $8,000+ CAD in revenue. Engineered multithreaded request handling and caching systems supporting thousands of daily requests. Implemented A* search algorithms and game-specific optimization heuristics for puzzle solving. Designed MongoDB-backed persistence systems for storing and retrieving user data.

Education

Data Science Specialist, Arts and Science Internship Program at University of Toronto; Rotman School of Business

May 1, 2026 - January 1, 2026

MSc (implied) / Business School at McMaster University; DeGroote School of Business

September 20, 2024 - September 20, 2025

Data Science Specialist, Arts and Science Internship Program at University of Toronto (McMaster University - DeGroote School of Business listed; internship program at University of Toronto)

May 1, 2026 - July 7, 2026

DeGroote School of Business (research/industry program) at McMaster University

September 20, 2024 - September 1, 2025