Ai Software Engineer
Current• Designed and implemented software using GenAI, LLM, and NLP to automate clinical note generation for doctors, significantly reducing manual processes and enhancing productivity.
Oct 2024 - Present
Who is Tom Wang? Overview
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Quick answer
Tom Wang is listed as AI Software Engineer at Pieces, based in Greater Boston, United States. AeroLeads shows a work email signal at takeda.com and a matched LinkedIn profile for Tom Wang.
Tom Wang previously worked as AI/ML Software Engineer at Takeda and Member Of Technical Staff at Acm, Association For Computing Machinery. Tom Wang holds Artificial Intelligence from Mit Sloan School Of Management - Artificial Intelligence In Healthcare (Course).
Company email context
Email format at Pieces
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{first}.{last}@takeda.com
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AeroLeads found 1 current-domain work email signal for Tom Wang. Compare company email patterns before reaching out.
Profile bio
About Tom Wang
Innovative AI/ML Software Engineer with 2+ years of experience in leveraging advanced technologies like NLP, GenAI, and LLMs to solve complex challenges in pharmaceutical and healthcare domains. Proven track record of developing intelligent solutions that automate processes, enhance productivity, and drive data-driven decision-making. Proficient in Python, AWS cloud platforms, and machine learning techniques, with a strong ability to translate technical insights into actionable business strategies.
Current workplace
Tom Wang's current company
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8 roles
Tom Wang work experience
A career timeline built from the work history available for this profile.
Ai/Ml Software Engineer
• Developed NLP and GenAI document analysis solutions using k-nearest neighbors,reducing information retrieval time by 40% for scientific teams• Automated hierarchical document visualization and summarization using NLP andLucidCharts, eliminating manual review processes.• Successfully deployed Llama-2-70B large language models on AWS SageMaker andBedrock, ensuring 99.9% uptime and optimized model performance.• Translated advanced AI techniques into actionable business strategies, driving cross-functional productivity and innovation in pharmaceutical research.
Sep 2022 - Aug 2024
Member Of Technical Staff
• Member of the Special Interest Group for Artificial Intelligence in the University of Urbana-Champaign branch of ACM• Created reinforcement learning algorithms in order to compete in the Deepracer competitions hosted by Amazon• Helped create a simulation space for training a self-driving car based on a given reinforcement learning algorithm in Pytorch
Sep 2019 - Oct 2022
Intern
• Engineered Python-based data processing functions that improved machine learningproject performance by 30% through optimized data integration.• Developed robust data pipelines for efficient loading of valuation and risk factor data,enhancing data accessibility for financial modeling and analytics• Streamlined database operations, enabling more reliable and scalable machine learningmodel development
Jun 2021 - Aug 2021
Intern
Aistrike
• Developed predictive financial models using Python and Excel, achieving high accuracyin insurance and store sales forecasting through Kaggle machine learning projects• Created targeted customer response models using SQL and R, enabling more precisemarketing strategies
May 2020 - Sep 2020
Intern
Aistrike.Us
• Built predictive customer response models based on Machine Learning algorithms • Completed the full project cycle from data processing, predictive model building, model testing and evaluation. • Gained valuable experience in data manipulation, interpretation and visualization utilizing tools including R, SQL and Excel.• Learning best practices for software development and AI based data mining.
Jun 2019 - Dec 2019
Intern
• Spent time at HMH, a company providing educational software for K-12 students in the US• Studied how commercial software applications are developed using REST APIs, MicroServices cross SaaS, PaaS and more• Prototyped a simple microservice using SpringBoot and REST APIs in JAVA and built in MAVEN
Jun 2018 - Jun 2018
Intern
Studied the relationship of gene expression profiling and clinical data using the programming language R. Worked on multiple projects as an intern and learned the importance of data sciences in Biology.
Jul 2016 - Aug 2016
5 education records
Tom Wang education
Artificial Intelligence
Mit Sloan School Of Management - Artificial Intelligence In Healthcare (Course)
Artificial Intelligence
Mit Jameel Clinic – Mit Probabilistic Programming Workshop
Artificial Intelligence
Mit Jameel Clinic – Mit Reinforcement Learning Workshop
Bachelor'S Degree, Computer Science And Economics
University Of Illinois Urbana-Champaign
High School Diploma
Acton-Boxborough Regional High School
FAQ
Frequently asked questions about Tom Wang
Quick answers generated from the profile data available on this page.
What company does Tom Wang work for?
Tom Wang works for Pieces.
What is Tom Wang's role at Pieces?
Tom Wang is listed as AI Software Engineer at Pieces.
What is Tom Wang's email address?
AeroLeads has found 1 work email signal at @takeda.com for Tom Wang at Pieces.
Where is Tom Wang based?
Tom Wang is based in Greater Boston, United States while working with Pieces.
What companies has Tom Wang worked for?
Tom Wang has worked for Pieces, Takeda, Acm, Association For Computing Machinery, Brown Brothers Harriman, and Aistrike.
How can I contact Tom Wang?
You can use AeroLeads to view verified contact signals for Tom Wang at Pieces, including work email, phone, and LinkedIn data when available.
What schools did Tom Wang attend?
Tom Wang holds Artificial Intelligence from Mit Sloan School Of Management - Artificial Intelligence In Healthcare (Course).
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