Introduction

Welcome to my site. My name is Ajay Shrestha. I work for Imagen Technologies (Healthcare AI startup in New York City) as engineering manager and teach part-time at the University of Bridgeport (CT) as an adjunct faculty. I received PhD in machine learning in 2019. I am passionate about contineous learning and applying knowledge/experience to solve problems and have a positive impact in the world.

Education & Experience

• 17+ years of engineering and management experience at US companies ranging from startups (Internet, healthcare, life sciences, AI) to Fortune 100 corporation including iMedX, Core Informatics, Thermo Fisher Scientific and Imagen Technologies (present)
• BS/MS/PhD, Computer Science & Engineering, University of Bridgeport, Connecticut, USA
• Industry Certifications in project management (PMP), cloud development, devops, machine learning and others, link
• 6+ years of teaching (2016 - present) as Adjunct Faculty: Teach courses in Cloud Computing and Embedded Systems Designs (micro-controllers) to engineering students at the University of Bridgeport

Interests

• Technology: AI, Cloud Computing, Cryptography and Quantum Computing
• Industry: Healthcare, Life Sciences, Sustainability

Web Profiles

• LinkedIn
• Google Scholar
• University Faculty
• Credly Certifications
• Github
• ResearchGate
• Medium
• Twitter

Select 1st Author Publications on Machine Learning (Deep Learning)

• Dissertation: Enhanced Deep Network Designs Using Mitochondrial DNA Based Genetic Algorithm and Importance Sampling, 2019, link
• Conference: Optimizing Deep Neural Network Architecture with Enhanced Genetic Algorithm, 18th IEEE International Conference on Machine Learning and Applications, ICMLA, 2019, Florida, link
• Journal: Review of Deep Learning Algorithms and Architectures, in IEEE Access, 2019, link
• Conference: Enhancing Siamese Networks Training with Importance Sampling, 11th International Conference on Agents and Artificial Intelligence ICAART, Prague, Czech Republic, 2019, link
• Journal: Improving Genetic Algorithm with Fine-Tuned Crossover and Scaled Architecture, Journal of Mathematics, 2016, link
• Thermo Fisher Scientific Blog Post, “Machine Learning: A Primer to Laboratory Applications”, Jan 2020, link. Listed in top 5 blogs for 2020.

Activities

• Board of Directors, University of Bridgeport Alumni Association (UBAA), Jan 2022 - Present
• Interviewed by the editor of Scientific Computing World magazine on latest trends in SaaS (Cloud and AI) – interview article – Feb 2020, link
• Entrepreneurship Specialization (5 courses) – Coursera (Wharton Online) certification link - August 2020
• Vice President, Upsilon Pi Epsilon Honor Society (Connecticut Delta Chapter), 2014 – 2019
• Technical Committee Member, International Conference on Systems, Computing Sciences and Software Engineering (SCSS 2012, 2013, 2014)
• Senator, School of Engineering, Student Congress during BS Computer Engineering studies, University of Bridgeport

Awards

• Upsilon Pi Epsilon Executive Council Award, 2016. Award News-brief, link
• Merit-based Academic Excellence Scholarship (full tuition) for BS Computer Engineering
• Graduate Assistanship for MS Computer Science

Recently Read Books

• The Lean Startup: How Today’s Entrepreneurs Use Continuous Innovation to Create Radically Successful Businesses - by Eric Ries
• High Output Management - by Andrew S. Grove
• Radical Focus: Achieving Your Most Important Goals with Objectives and Key Results - by Christina Wodtke
• Sapiens: A Brief History of Humankind - by Yuval Noah Harari
• A Brief History of Everything - by Ken Wilber
• AI Superpowers: China, Silicon Valley, and the New World Order - by Kai-Fu Lee