Introduction

Ajay Shrestha, PhD in Machine Learning, is a seasoned engineering leader with nearly two decades of experience in technology and management. As an Engineering Manager at Imagen, a New York-based healthcare AI startup, he oversees the cloud infrastructure supporting the company’s AI-driven medical diagnostics-as-a-service platform.

Prior to this, Ajay led engineering teams at Thermo Fisher Scientific, to build and deliver cloud-based software solutions for the life sciences and biotech sectors. He also serves as an adjunct faculty member in the Computer Science department at the University of Bridgeport (UB), his alma mater, and holds a position on the board of directors for the UB Alumni Association.

With a passion for leveraging technology, leadership, and management to address critical societal challenges, Ajay is driven to make a meaningful, positive impact on the world. He is currently pursuing an MBA at Yale University’s School of Management, further honing his strategic and business acumen.
 

Expertise

• Technology: DevOps, Cloud Computing, Software Engineering, Machine Learning
• Management: Agile, Lean, Product Development
• Industry: Healthcare, Life Sciences, Education
   

Experience

• ~ Two decades of engineering and management experience at US companies ranging from startups (Internet, healthcare, life sciences, AI) to Fortune 100 corporations including iMedX, Thermo Fisher Scientific and Imagen Technologies (present)
• 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
   

Education & Certifications

• BS/MS/PhD, Computer Science & Engineering, University of Bridgeport, Connecticut, USA
• Industry Certifications in cloud development, devops, machine learning, management and others, link
   

Web Profiles

• LinkedIn
• Google Scholar
• University Faculty
• Blogpost - ⭐ subscribe here to get an email whenever I publish ⭐
• AI Journal
• Certifications
• GitHub
• Twitter
• ResearchGate
   

Select First Author Research Publications on Machine Learning (Deep Learning / AI)

• 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 - ⭐ 1.5k+ citations ⭐ per Google Scholar
• 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
   

Activities

• Board of Directors, University of Bridgeport Alumni Association (UBAA), Jan 2022 - Present
• Interviewed by University of Bridgeport on impact of AI on healthcare - interview article - Dec 2023, link
• Interviewed by the editor of Scientific Computing World magazine on latest trends in SaaS (Cloud and AI) – interview article – Feb 2020, link
• Thermo Fisher Scientific Blog Post, “Machine Learning: A Primer to Laboratory Applications”, Jan 2020, link. Listed in top 5 blogs for 2020.
• 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

• Distinguished Alumni Award, University of Bridgeport, 2024
• Upsilon Pi Epsilon Executive Council Award, 2016. Award News-brief, link
• Merit-based Academic Excellence Scholarship (full tuition) for BS Computer Engineering, University of Bridgeport
• Graduate Assistantship for MS Computer Science, University of Bridgeport
   

Interests

• Philosophy, Wellbeing, Sustainability, Entrepreneurship, Quantum Physics
   

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