Engineering Impact
Every role has been an opportunity to learn, contribute, and push the envelope. From designing novel geothermal turbines to pioneering AI in protein analysis and engineering critical EMR systems, my professional journey reflects a commitment to deep technical engagement and leadership. Explore the milestones that have shaped my expertise and the value I've delivered.
Han Lin Innovations (Self-Directed R&D / Independent Projects)
Research Engineer & Principal Innovator
A dedicated period of intensive self-directed research, advanced skill acquisition, and project development. Focused on mastering and applying cutting-edge AI/ML, multi-cloud architectures (GCP, Azure, AWS), cybersecurity best practices, and full-stack development to create novel solutions and tools.
Key Achievements:
- Spearheaded the design, development, and launch of the ANNotate system, a deep learning system for per amino acid resolution function prediction of protein sequences, achieving 100x speedup and 95% accuracy on Pfam (TensorFlow, GCP/Cloud Run, Vue.js).
- Continued architecture and development of a Modern SCADA/IoT System for industrial applications, enhancing real-time data processing, remote HMI, and historical analysis capabilities (Node.js, MongoDB, Vue.js).
- Designed and launched Origami Moving Cubes, an interactive web application leveraging React, Next.js, and Canvas API for designing kinetic origami art.
- Attained 30+ advanced certifications across Google Cloud (Professional ML Engineer, Cloud Architect), Microsoft Azure (Solutions Architect Expert, AI Engineer), AWS (AI Practitioner), Salesforce (AI Associate), and Cybersecurity (Google Cybersecurity Pro), demonstrating mastery in current technologies.
Lanyang Geothermal Corp
Research Engineer
At Lanyang Geothermal, I lead engineering initiatives to advance renewable energy technology through innovative approaches to geothermal power generation. My work spans hardware design, software development, and system integration-all focused on maximizing the efficiency and reliability of renewable energy extraction.
Key Achievements:
- Led a team of engineers in designing and constructing a research-grade geothermal power plant
- Implemented novel total-flow turbine technology for brine temperatures ranging from 150 to 200 degrees Celsius with successful grid output of 150kW
- Designed a modern SCADA/IoT system for real-time monitoring and control across multiple platforms that increased thermal efficiency by 50%
BIOTOOLS Co., Ltd.
Artificial Intelligence Researcher
Working with BIOTOOLS, I applied cutting-edge AI techniques to solve complex bioinformatics challenges. My focus was developing neural network models that could dramatically accelerate protein analysis while maintaining high accuracy, transforming how researchers approach proteomic data.
Key Achievements:
- Designed, implemented, and deployed end-to-end neural network models for protein ontology prediction
- Achieved an accuracy of 95% on Gene Ontology, Human Phenotype Ontology, and Disorder Ontology while reducing compute time by 100 times
- Developed STAMP-CLI, a command line interface for metagenomic profile statistical analysis, packaged as public Docker images for cross-platform compatibility
Binflux Inc
Senior Software Engineer
At Binflux, I led the design and implementation of modern healthcare technology, specifically developing electronic medical record (EMR) systems for fertility centers. This role demanded meticulous attention to detail, security-focused architecture, and close collaboration with medical professionals to create systems that enhanced patient care.
Key Achievements:
- Co-designed an EMR system that increased case numbers by 20% for fertility centers
- Reduced development time by 30% through automated development tools
- Designed and implemented an IoT system with secure network interfaces for various medical devices, including microscope CCD cameras and cryogenic label printers
Meridigen Biotech
Software Engineer
My work at Meridigen centered on bridging biology and computer science, developing image analysis systems that enabled more accurate and efficient microscopic cell analysis. By working directly with biologists, I created tools that reduced analysis time while improving accuracy.
Key Achievements:
- Developed a web-based cell image analysis system that reduced compute time by 5X (Vue.js + Django + OpenCV)
- Achieved less than a 1% error rate for cell count and area determination for microscopic cell images
National Agriculture Library
Research Engineer
During my time at the National Agriculture Library, I focused on building tools for genomic data analysis and visualization. I created systems that made complex genomic information more accessible to researchers, contributing to the advancement of agricultural science.
Key Achievements:
- Designed an HTML5 user interface for NCBI BLAST+
- Developed a Python library to manipulate genomic features and validate GFF3 files
- Contributed new features and bug fixes to the JBrowse genome browser
- Improved the exonerate sequence alignment tool