Avery Henson
dry branch,GA
Summary
Passionate AI specialist with a Master's in Mathematics and 3 years of professional coding experience. Skilled in developing innovative AI solutions and applying interdisciplinary expertise to tackle complex problems. Seeking to leverage a strong technical background and a commitment to innovation in a dynamic AI-focused role.
Overview
5
5
years of professional experience
Work History
Software Engineer / AI Developer
Microsoft
Redmond
01.2020 - 08.2024
- Designed and implemented AI-driven solutions for data processing, predictive modeling, and natural language processing
- Developed and optimized machine learning models, reducing computation time by 35%
- Collaborated with cross-functional teams to deploy scalable AI systems in production environments
- Utilized Python, TensorFlow, and PyTorch for AI development and integrated APIs for seamless functionality
- Contributed to the creation of automated testing frameworks, increasing codebase reliability.
Machine Learning Intern
Microsoft
Redmond, WA
06.2019 - 08.2020
- Conducted research on supervised and unsupervised learning algorithms for chemical data analysis
- Enhanced existing models for improved prediction of molecular properties, achieving 23% accuracy gains
- Wrote clean, reusable code and documented workflows to facilitate reproducibility.
Education
Master's - Mathematics
Georgia Institute of Technology
Atlanta, GA08.2023
Bachelor of Mathematics -
Georgia Institute of Technology
Atlanta, GA05.2019
Skills
- Python
- JavaScript
- C
- R
- TensorFlow
- PyTorch
- Scikit-learn
- Matplotlib
- Seaborn
- Plotly
- Git
- Docker
- Kubernetes
- AWS
- Azure
- SQL
- NoSQL
- MongoDB
- Cassandra
- Computational chemistry
- Molecular modeling
- Data cleaning and preprocessing
- API integration
Affiliations
- Association for the Advancement of Artificial Intelligence (AAAI), 2020
- American Mathematical Society (AMS), 2021
Projects
AI-Driven Molecular Property Prediction, Developed a machine learning pipeline to predict molecular properties with high accuracy using real-world datasets. Integrated a deep learning model with domain-specific algorithms to enhance prediction robustness. Automated Workflow for Chemical Data Analysis, Built a scalable framework for analyzing large chemical datasets using Python and cloud computing resources. Reduced processing times by [percentage] through algorithm optimization. Natural Language Processing for Scientific Literature Mining, Created an NLP-based tool for extracting key insights from scientific papers, aiding researchers in identifying trends and gaps.
References
Available upon request.
Awards
- Outstanding Graduate Award, Georgia Institute of Technology, 2023
- Certified Machine Learning Specialist, TensorFlow Developer Certification Program, 2022
- AWS Certified Solutions Architect, 2021
Timeline
Software Engineer / AI Developer
Microsoft
01.2020 - 08.2024
Machine Learning Intern
Microsoft
06.2019 - 08.2020
Master's - Mathematics
Georgia Institute of Technology
Bachelor of Mathematics -
Georgia Institute of Technology