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I’m Michael Liang, a graduate student in Computer Science at the University of Colorado Boulder, pursuing research and projects in machine learning, computer vision, and data science. I enjoy building robust CV/ML pipelines and applying signal processing to real-world problems. Beyond academia, I intern at Aquanta Vision and previously at ConstructConnect and Consult a Immigration, where I design end-to-end ML solutions, collaborate with cross-functional teams, and continuously improve models through evaluation and experimentation.…I’m Michael Liang, a graduate student in Computer Science at the University of Colorado Boulder, pursuing research and projects in machine learning, computer vision, and data science. I enjoy building robust CV/ML pipelines and applying signal processing to real-world problems. Beyond academia, I intern at Aquanta Vision and previously at ConstructConnect and Consult a Immigration, where I design end-to-end ML solutions, collaborate with cross-functional teams, and continuously improve models through evaluation and experimentation.

Michael Liang

Data Scientist, Developer, AI Engineer, +2

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I’m Michael Liang, a graduate student in Computer Science at the University of Colorado Boulder, pursuing research and projects in machine learning, computer vision, and data science. I enjoy building robust CV/ML pipelines and applying signal processing to real-world problems. Beyond academia, I intern at Aquanta Vision and previously at ConstructConnect and Consult a Immigration, where I design end-to-end ML solutions, collaborate with cross-functional teams, and continuously improve models through evaluation and experimentation.…I’m Michael Liang, a graduate student in Computer Science at the University of Colorado Boulder, pursuing research and projects in machine learning, computer vision, and data science. I enjoy building robust CV/ML pipelines and applying signal processing to real-world problems. Beyond academia, I intern at Aquanta Vision and previously at ConstructConnect and Consult a Immigration, where I design end-to-end ML solutions, collaborate with cross-functional teams, and continuously improve models through evaluation and experimentation.

Available to hire

I’m Michael Liang, a graduate student in Computer Science at the University of Colorado Boulder, pursuing research and projects in machine learning, computer vision, and data science. I enjoy building robust CV/ML pipelines and applying signal processing to real-world problems.

Beyond academia, I intern at Aquanta Vision and previously at ConstructConnect and Consult a Immigration, where I design end-to-end ML solutions, collaborate with cross-functional teams, and continuously improve models through evaluation and experimentation.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Computer Vision & Signal Processing Graduate Intern (C++, OpenCV, Flutter) at Aquanta Vision

September 1, 2025 - Present

Developed and shipped Dart/Flutter features for the NetxTen application enabling real-time industrial gas leak detection. Designed and tuned signal processing methods to suppress noise and reduce false positives, improving reliability. Built and optimized C++/OpenCV pipelines for leak localization from raw sensor data to post-processing, and implemented fixes for edge cases in varying lighting and environmental conditions. Created evaluation workflows to measure performance and guide iterative improvements.

Machine Learning Intern at Consult a Immigration

July 1, 2025 - August 31, 2025

Built a chatbot using OpenAI, Gemini, Claude, Cohere, and DeepSeek APIs to generate immigration guidance from user inputs. Integrated OCR to parse documents automatically, reducing manual data entry. Implemented a RAG pipeline with LangChain and FAISS using 300+ past chats for context; set up evaluation using BLEU, ROUGE, and Sentence-BERT. Implemented safety checks to monitor hallucinations and enforce content rules.

Data Science Intern at ConstructConnect

August 1, 2024 - December 30, 2024

Developed post-processing routines for object detection and image segmentation using OpenCV, Ultralytics YOLO, and PaddlePaddle. Improved model detection accuracy and edge alignment; reduced AI output errors by 50% and tripled Takeoff Boost product usage. Curated and preprocessed over 150,000 images to build a dataset; trained CNN and Vision Transformer models using Hugging Face. Evaluated model performance on GCS imagery with IOU, Dice, precision, recall, and F1 to guide training and threshold tuning. Deployed models as Vertex AI endpoints on GCP, managed Conda environments, and served inference APIs to 300 enterprise customers. Automated dataset refresh and model evaluation scripts to support continuous retraining of deployed vision models.