Summary
Akshey Singhal is a data scientist and AI engineer with 8 years of experience building production-grade machine learning systems that solve messy, real-world problems across cybersecurity, energy, finance, and e-commerce. Currently at Applied Systems and teaching AI tools and emerging technologies at Lambton College Ottawa, he blends hands-on engineering with curriculum design to bridge industry and academia. He has shipped low-latency, scalable models in production—cutting inference latency tenfold for a cybersecurity feature—and built feature stores and real-time pipelines to accelerate ML development. Akshey has mentored 800+ professionals through Great Learning and contributed to cross-domain ML deployments from document layout extraction to DNS anomaly detection. His background includes advanced studies at Saint Mary’s, MIT Professional Education, and UT Austin, reflecting a focus on applied data science and business analytics. Colleagues describe him as pragmatic, curious, and effective at turning noisy data into operational AI.
7 years of coding experience
5 years of employment as a software developer
Master of Science - MS Computing and Data Analytics, Master of Science - MS Computing and Data Analytics at Saint Mary's University
Data Science and Machine Learning: Making Data-Driven Decisions, Data Science and Machine Learning: Making Data-Driven Decisions at Massachusetts Institute of Technology
Applied Data Science Program, Applied Data Science Program at MIT Professional Education
Post Graduate Data Science and Business Analytics, Post Graduate Data Science and Business Analytics at The University of Texas at Austin
High School Science, High School Science at Asha Modern School
Bachelor's Degree Computer Science, Bachelor's Degree Computer Science at Chitkara University
English, Hindi, Punjabi