Abhishek Singh is a software engineer with nine years of experience building cloud-native, security-focused systems and machine learning solutions, currently working at a stealth AI startup in Bengaluru. He has driven features and reliability improvements at F5—improving route export scale 4x, building LTS Kubernetes cluster tooling, and creating chaos-testing frameworks—after automating hybrid-cloud migrations and App Service deployments at IBM. His background blends hands-on MLOps and deep learning (Keras/TensorFlow) research—producing high-accuracy models for clinical phenotype and orca detection during GSoC—and practical security engineering for multi-cloud and FedRAMP-relevant environments. Comfortable both leading initiatives and mentoring, he pairs infrastructure-as-code and Python automation with Go-based microservice security work. He’s motivated by understanding the scientific principles of learning and has a track record of turning research prototypes into production-ready, auditable systems.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Technology - BTech, Computer Science & Engineering, Bachelor of Technology - BTech, Computer Science & Engineering at National Institute of Technology Durgapur
High School, Science, High School, Science at Vivekananda Kendra Vidyalaya, Lamba Line, Port Blair
Contributions:187 commits, 176 pushes, 1 branch in 3 years 2 months
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