https://krishnabhattarai.comI am a seasoned DevOps engineering professional & a life long student of Computer Science. I bring over 8 years of professional experience in DevOps, Software Engineering, Cloud Infrastructure Management, System Administration, CI/CD pipelines optimization, R&D, Automation, Problem-Solving, and Performance Optimization across diverse industries such as Food & Beverage, Healthcare, Electrical & Manufacturing, Academia, and RFID industries. Having worked at startups and bigger companies, I have been exposed to and trained on a wide variety of projects and roles and bring a wealth of knowledge & hands-on experience. I am a hardworking individual driven by creativity, curiosity, inspiration, and passion. I am interested in the pursuit of knowledge and excellence.I am currently studying Neural networks to develop a deep/fundamental understanding of the field as well as trying to keep up with all the latest developments.As a student of computer science engineering and as a DevOps Engineer, these are various tools that I have used in my career:Containerization/Virtualization: Kubernetes, Helm, Docker, Vagrant, VirtualBoxConfiguration as Code (CaC): AnsibleInfrastructure as Code (IaC) : TerraformCI/CD: CircleCI, TravisCI, Azure DevOps Pipelines, Octopus DeployCloud: Amazon Web Services (AWS - EC2, Lambda, S3, EFS, IAM, SNS, SQS, Polly), Microsoft Azure, HerokuScripting/Automation: Ansible, Bash, awk, sed, grep, find, vi, and numerous unix tools, PowerShellOperating Systems: RedHat Enterprise Linux, CentOS, Ubuntu, Unix, Windows ServerLanguages: Python, MATLAB, C, C++, Ruby, JavaScript, GoLangLibraries/Frameworks/Runtimes: PyTorch, NumPy, matplotlib, pandas, SymPy, Node.js, AngularJS, Express.jsWeb Application Frameworks: Ruby on Rails, Flask, Django, NodeJS, ExpressWeb Development: HTML, HAML, CSS/SCSS, SASS, JavaScript, BootstrapSQL/NoSQL Databases: Postgres, MySQL, MSSQL, SQLite, Redis, MongoDBNetwork/Systems Monitoring/Alerting: ELK, Observium, SNMP, Zabbix, TCP/IP, DNS, WazuhWeb Servers: Apache, Nginx, IIS-Windows Web ServerComputer Vision & Computer Graphics Tools: OpenCV, CUDA, OpenGL, WebGLEmbedded Systems/Edge Computing/IOT Devices: Intel RealSense Depth Camera, RaspberryPi 2/3/4, Odroid XU4, Jetson TK1, BeagleBone, Intel NUC, various ArduinosIOT Protocols: MQTT, SOAP, BLEIOT Sensors: Temperature, pressure, light, accelerometer, GPS, currentProject Management, Service/Issue Tracking: Jira, Confluence, RT, Zendesk
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Cloud/Technical Operations EngineerSml Rfid May 2021 - Sep 2024- Containerized and deployed existing and new software solutions leveraging Kubernetes.- Developed CI/CD pipelines and fully automated software deployments fostering a DevOps mindset in the company using Bash, Python, Ansible, and Octopus Deploy. - Built, deployed, and maintained company’s cloud infrastructure for POCs, Pilots, and Production Rollouts using Terraform. - Led and specialized in systems integration projects and initiatives with new and emerging technologies in the cloud with clients and partners to meet agreed upon scopes and goals. - Automated operational processes for consistency and accuracy, defined and documented key technical processes and SOPs, and provided Tier 2 support for systems related issues.- Monitored and optimized cloud infrastructure for cost-efficiency and performance.- Implemented and managed new monitoring and alerting systems for various cloud services and software, including log analysis for systems and applications.- Help and mentor other team members -
Staff Software EngineerAbb Sep 2020 - Feb 2021- Led a team of developers and architected a SNMP management system with Python and Net-SNMP optimizing the monitoring and management of the company’s custom electrical controller systems. - Engineered a 10x performance boost in SNMP polling by leveraging Python’s multithreaded priority queues, enhancing system responsiveness. - Developed and maintained CI/CD pipelines for legacy controller systems, automating build, test, and deployment processes to reduce manual effort and increase release velocity. - Orchestrated the migration and management of existing git repositories, integrating version control best practices (git-flow) and automating workflows. - Mentored junior developers in adopting modern DevOps practices, including cloud infrastructure management and virtualization technologies like VMware, VirtualBox. -
Software EngineerQuantumiot May 2016 - Mar 2020"QuantumIOT is an elite IoT services firm. We build complete, customized IoT solutions for the world's best companies. QuantumIOT was founded on the bold vision of assembling an elite team of IoT engineers and data scientists whose experience spans every step of IoT project development, from hardware to telecom technology to data analytics and machine learning. As a team, we’re both agile and powerful, so that we can tackle the big problems that many enterprise companies face in executing their IoT goals."- Architected, developed, and deployed a real-time digital signage solution for a client (Studio Movie Grill) using AWS, Python, Node.js, Ruby on Rails, AngularJS, and Ansible.- Set up and maintained a Big Data pipeline including ETL workflows and a data ingestion agent using AWS(S3, SNS, SQS, EC2), Node.js, Rails, and Ansible technologies.- Configured over 2500 Windows and Linux machines with Ansible, writing playbooks for configuration management, application deployment, and software provisioning.- Contributed to a lot of exciting IOT integration projects with various clients in the industry.- Mentored and trained interns on various IOT projects.- Contributed to an embedded IOT MQTT agent written in C on top of FreeRTOS to collect driver behavior such as sharp turns, hard brakes etc using various algorithms for OBD based tracking device. -
Teaching AssistantThe University Of Texas At Arlington Dec 2015 - May 2016Department Of Computer Science And Engineering, College Of Engineering- Developed a Python MOOC (Massive Open Online course) - CSE1309x for the University with Professor Farhad Kamangar on the edx.org platform. The course had over 40,000+ or so students when it was first run in 2016. - Wrote programs and wrote unit tests to automatically grade student submissions. - Assisted the professor in designing, developing, deploying, and testing the course curriculum on edx platform. - Helped students answer their questions & provide feedback on their work. - Developed and provided reports and analytics on student performance for the course. Original Course can be found here:https://learning.edx.org/course/course-v1:UTAx+CSE1309x+2016T1/homeIt was re-run by the University in 2018 and that can be found here:https://learning.edx.org/course/course-v1:UTArlingtonX+CSE1309x+1T2018/home
Krishna Bhattarai Education Details
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Computer Science Engineering
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What schools did Krishna Bhattarai attend?
Krishna Bhattarai attended The University Of Texas At Arlington, Dallas County Community College.
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Krishna Bhattarai
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