Hello there! It's lovely to share a little about my professional journey with you. I'm someone who truly enjoys bringing big ideas to life by blending the best of technology with practical business needs. Over the past decade, I've had the wonderful opportunity to dive deep into the world of AI and Machine Learning, always looking for innovative ways to make systems smarter and more efficient.
I find real joy in taking complex challenges and breaking them down into clear, manageable solutions. Whether it's crafting scalable architectures in the cloud (Azure, AWS, GCP), streamlining operations with DevOps, or ensuring everything is secure with DevSecOps, my passion lies in building reliable systems that truly make a difference. I've been fortunate to work with incredible teams, guiding projects from initial concept all the way to successful deployment, and always learning along the way.
What truly lights me up is the chance to collaborate, share insights, and help others grow. I believe that the best solutions come from working together, understanding diverse perspectives, and always keeping the end-user's needs at heart. Beyond the technical bits, I'm simply someone who loves to solve problems, enjoys a good challenge, and is always eager to explore what's next in the ever-evolving landscape of technology.
Apr 2023 – Present (2 years 3 months)
Architected ETL solutions for Nutrition Accuracy Clearinghouse, improving data accuracy by 30%. Led AI/ML deployments on Azure, boosting client satisfaction by 20%.
More InfoMar 2021 – Apr 2023 (2 years 2 months)
Designed CI/CD pipelines, reducing delivery cycles by 40%. Migrated apps to Azure, saving 20% in costs, and optimized Kubernetes for $15k/month savings.
More InfoJan 2017 – Mar 2020 (3 years 4 months)
Developed AI/ML automation with SageMaker, cutting costs by 35%. Pioneered GIS agriculture app with drone integration using Kubernetes.
More InfoDec 2009 – Dec 2016 (7 years 5 months)
Led cloud cybersecurity efforts and developed e-commerce platforms, generating $8.6M in revenue. Implemented Docker and Kubernetes for scalability.
More InfoDec 2006 – Nov 2009 (4 years 7 months)
Managed network infrastructure and cybersecurity, remediating risks and ensuring compliance with enterprise standards.
More InfoJan 2004 – Nov 2006 (5 years 2 months)
Designed LAN/WAN for seven offices, reducing expenses by $5M through optimized telecom systems.
More InfoBuilding the future, one secure system at a time.
Expert in TensorFlow, PyTorch, Azure ML, and scalable system design. Built end-to-end AI pipelines and predictive models.
Certified in Azure Architect, AWS DevOps, and GCP Architect. Deployed scalable cloud solutions with IaC.
Proficient in Kubernetes, HashiCorp Vault, CISSP, and secure CI/CD pipelines.
Integrated IoT and Analytics Solution for Sustainable Urban Development The recent Commercial Solutions Opening (CSO) challenge seeks innovative commercial platforms to integrate IoT sensor networks with predictive analytics for sustainable urban development in Disrupted, Dense, Intermittent, and Low-resource (DDIL) environments.
As a Solutions Architect with over 10 years in API development and fintech integrations, I propose a resilient, API-first architecture to address core challenges in scaling operations, mitigating integration risks, and overcoming historical operational hurdles in a cloud-native core banking and digital solutions environment.
Integrated Data and AI Solution for Multi-Domain Operations in Contested Environments. As a Solutions Architect, I propose an integrated solution leveraging core products: the Data Platform, Application Platform, and AI Mission System.
Implemented a secure CI/CD pipeline, cutting deployment cycles by 50% and enhancing security with HashiCorp Vault.
The Enterprise App showcases Python’s power in driving business value, delivering $15K monthly savings and a 65% efficiency leap.
Designed and deployed a scalable cloud architecture, achieving 99.9% uptime using Kubernetes and Terraform. Improved resource efficiency by 25%.
Scalable cloud architectures are essential for managing large-scale robotic fleets in wireless environments, where challenges like intermittent connectivity, high latency, and variable bandwidth can degrade performance.
AIOps platform for proactive anomaly detection in IT operations, starting with Azure. Automatically learns normal patterns from time-series metrics (e.g., CPU, memory) and detects deviations without manual thresholds.
This project is a simulated implementation of a secure, cloud-native Satellite Command and Control (C2) system. Inspired by modern space operations best practices (e.g., distributed ground systems, microservices,
A scalable, AI-driven social Q&A platform built with Python (FastAPI). Features a GitOps-based CI/CD pipeline and microservices architecture that reduced API latency by 45%.
Cross-platform React Native application for pet health tracking. Optimized mobile-to-cloud sync and automated the App Store delivery pipeline, achieving a 50% faster release cycle.
High-performance SaaS platform for global travel planning. Implemented scalable cloud-native infrastructure ensuring 99.9% uptime and seamless integration with real-time travel APIs.
Having spent the last decade deeply embedded in the evolving landscape of software and machine learning operations, I've witnessed firsthand the transformative power of MLOps. However, this rapid advancement in deploying...
Step-by-step approach to seamless cloud adoption. Cloud migration is an increasingly popular way for businesses to move their data and applications to the cloud. It offers a range of benefits, including cost savings, scalability, and improved security.
Explainable Artificial Intelligence, or XAI, is a set of techniques and methods that make the inner workings of AI systems understandable to humans. Understanding the differences between inherently explainable and opaque AI algorithms is crucial for AI development.
As we move toward more complex, multi-cloud environments (AWS, GCP, Azure), the traditional manual approach to network device integration is no longer sustainable. We need a bridge between the physical hardware and the logical software layers that is as agile as the applications it supports.
I've spent over a decade in the trenches of tech—building cloud setups for AI teams, unraveling massive monoliths into sleek microservices, and leading squads through the chaos of multi-cloud migrations.
Hey, if you've ever looked up at the night sky and wondered how those tiny dots of light stay in line, doing their jobs without a hitch, you're in for a treat. Satellites are like silent guardians up there, handling everything from weather forecasts to global communications.
Aurora, Colorado US
Phone: +00 720-352-3978
Email: kumar.dahal@outlook.com