Nicholas D'Aquila
Software Engineer at Amazon
About
Nicholas D'Aquila is a highly skilled Software Engineer with over 6 years of experience in the industry. He holds a Master's degree in Mechanical Engineering from McMaster University. Currently, he is working as a Software Engineer at Amazon, where he is involved in various projects related to machine learning, deep learning, embedded systems, and web applications. Nicholas has a passion for new technologies and enjoys participating in engineering competitions. He is also an avid blogger who writes about the latest advancements in the field of software engineering. Prior to joining Amazon, Nicholas worked as a Software Engineer at Sandhills Global, where he developed software solutions using PyTorch, scikit-learn, and other machine learning frameworks. He also displayed technical expertise in C#, C++, Python, and Vue.js, among others, while working on projects related to machine learning and deep learning production solutions. As a Research Engineer at D&V Electronics Ltd., Nicholas was responsible for developing software in .NET and creating APIs in .Net and LabVIEW for clients to utilize individual modules on testers. He also coordinated with technical support in providing effective solutions to client issues globally. Nicholas's technical skills include Software Engineering, Deep Learning, Machine Learning, Web Development, Research Science, Pytorch, Text Classification, NLP, Scikit, Javascript, Backend Development, Python, VueJS, and SQL. He has a proven track record of delivering high-quality software solutions that meet the needs of his clients.
Education
• mcmaster university
Companies
• amazon
• sandhills global
• dv electronics ltd.
• dependable mechanical systems inc.
• ellisdon
• mccarthys uniform store
• mcdonalds canada
Experience
7.8 Years
Experience
Skills
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Application Programming Interfaces (API)
architecture
Backend
C#
C++
Communication
Deep Learning
Design
dotNET
LabVIEW
Machine Learning (ML)
Natural Language Processing (NLP)
Python
Pytorch
Research
Research Scientist
Scikit
Scikit-Learn
servers
Software Engineer
SQL
Team Foundation Server (TFS)
Technical Support
test
testing
Text Classification
VueJS
Web
Web Applications
xml
Contact Details
Email (Verified)
xxxxxxxx@xxxx.xxMobile Number
+91XXXXXXXXXXEducation
mcmaster university
Master's degree
2016 - 2018
mcmaster university
Mechatronic Engineering
2012 - 2016
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