Liam Connell
Verified Expert in Engineering
Machine Learning Developer
New York, NY, United States
Toptal member since December 1, 2018
Liam has nine years of experience as a machine learning engineer and engineering leader. He has worked for the past five years as a lead ML engineer in the AI/ML practice area of BCG, where he applies the latest AI and ML techniques to build products across industries and use cases. Drawing on this deep technical experience and exceptional soft skills from his time at an elite consulting firm, Liam brings delivery certainty and impeccable quality to his project execution.
Portfolio
Experience
Availability
Preferred Environment
Amazon Web Services (AWS), Terraform, Python, PyTorch, OpenAI API, Apache Airflow
The most amazing...
...thing I've built is an automated insurance assessment platform that used computer vision and NLP to revolutionize the assessments business process.
Work Experience
Lead AI Engineer | Project Lead
Boston Consulting Group
- Led the development of an automated assessments platform for a global insurance company using computer vision and aerial image processing.
- Developed a RAG-based GenAI application for agriculture intelligence, answering questions using around 100,000 documents from the USDA, WASDE, and SEC and transcripts from earnings calls.
- Leveraged computer vision on satellite imagery and other ML techniques to forecast US corn and soy yield.
- Developed a GenAI-powered network incident intelligence system for large telecommunications company.
- Led technical strategy and design at Lighthouse, BCG's technical asset platform, including advanced data warehouse design and operations.
Data Engineer
Auth0
- Created an ML-based customer health score that was able to improve sales and customer success personnel allocation by 80%.
- Designed and developed an over-quota tracking process that drove a campaign to half a million dollars in increased ARR, 10% of the quarter’s ARR gains.
- Developed and maintained a Redshift data warehouse along the entire pipeline: Coordinating with other engineering teams for designing import processes; ETL design and implementation; Dimensional modeling; Coordinating with the business community to ensure effective use of the data warehouse; designing Machine Learning processes to aid in decision making and gain insights.
Experience
A Tour Through TensorFlow with Financial Data
This project has been very popular since it was released, especially since at the time of release (early 2016), TensorFlow was a new technology and tutorials had stayed comfortably in the sphere of toy implementations like MNIST digit recognition. I regularly responded to monthly emails from researchers attempting to replicate the code, many of whom were Ph.D. candidates themselves.
Education
Bachelor's Degree in Mathematics
Colby College - Waterville, Maine
Skills
Libraries/APIs
TensorFlow, NumPy, Scikit-learn, Keras, PyTorch, OpenAI API, Pandas, PySpark, Spark ML
Tools
Git, Terraform, Apache Airflow
Languages
Python, SQL, R
Platforms
Amazon Web Services (AWS), Azure, Google Cloud Platform (GCP), OS X
Storage
PostgreSQL, Redshift, MongoDB
Paradigms
ETL
Industry Expertise
Teaching
Frameworks
Django, Django REST Framework
Other
Data Warehouse Design, Deep Learning, Natural Language Processing (NLP), Prompt Engineering, Machine Learning, Data Warehousing, Online Tutoring, Artificial Intelligence (AI), Generative Adversarial Networks (GANs), Variational Autoencoders, Image Recognition, AWS Cloud Architecture, Predictive Modeling, Financial Modeling, Reinforcement Learning, Deep Reinforcement Learning, Generative Pre-trained Transformers (GPT)
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