- Lead engineer on the Enterprise ML Platform team closely collaborating with Data Science/Data Scientists teams, other AI/ML Engineering teams, Data Engineering teams, Data Analytics teams, and Enterprise Architecture teams- Lead owner and technology strategist for Enterprise MLOps, Gen AI/LLMOps, Data DevOps, and DevSecOps via a tech-toolkit containing Vertex AI, Workbench Instances/Jupyter Notebooks, BigQuery, Cloud Composer (Airflow), Dataproc, DataFlow, BigTable, IAM Administration, Arize AI, Pagerduty etc.- Spearhead the Gen AI and ML models' end-to-end lifecycle management, including productionalization of prototype models, building CI/CD pipelines, IaC with Terraform, Cloud Platform ownership, data governance, information security best practices, etc.- Migration of the Data and AI/ML org's infrastructure from on-prem to GCP cloud- Managing, owning and advancing 100% of the Data and AI/ML org's cloud infrastructure via pipelines built on Terraform & GitHub Actions- Leading the cost optimization/cost control program, saving the company ~USD 0.5 million in one quarter alone

- Architected and implemented the move of the monolithic on-prem SAP Hybris e-commerce application to microservices-based Kubernetes cluster on the Google Cloud i.e. Google Kubernetes Engine (GKE)- Owned and managed the end-to-end DevOps Global Tool Chain (GTC) (Kubernetes clusters, Git repos, Jenkins CI/CD, Nexus artifact repository, SonarQube code quality, Nagios, Sendgrid, Twilio, etc.) for several big-ticket MNC client projects in AWS/Azure/GCP- Mentored and lead the DevOps team, including L1/L2 Support Ops. Also successfully spearheaded an internal programme for DevOps team members to get GCP certified.

- Responsible for the uptime (four 9s) of 50+ SaaS products for Fortune 1000 companies, encompassing a wide array of tech stacks spread across a massive multi-cloud architecture- Participate in the bi-weekly CAB (Change Advisory Board) and implement changes to production systems after appropriate risk assessments and enforcing release management guidelines. The changes are performed via Change Requests with Pre-Implementation, Implementation, Validation and Rollback stages- Eliminate toil by setting up and improving monitoring, and implementing automation with the aim to achieve 'zero-touch operations'- Assist Jr. SRE team members with technical mentoring, motivation and nurturing- Work closely with the Engineering and Testing teams to eliminate complexity from architecture and processesTechnologies used: AWS EC2, RDS, S3, ELB, Route 53, VMWare, Docker, Kubernetes, Windows Server 2012 and 2016, Linux Amazon Linux 2/CentOS/Ubuntu/Debian, Nginx, IIS, GitHub, Ansible, Jenkins/Jervis, Rundeck, Python, Bash, PowerShell, Nagios, Zabbix, ELK, PagerDuty, OpsGenie, Jira, Confluence etc.

Reference letter - https://drive.google.com/open?id=13gYrNU475_EHTfmK_CEzeuHrEeQuIa7T- Lead the DevOps team with technical and personal mentoring, motivation, and nurturing- Own the overall build and release management by designing, developing, configuring, setting up and maintaining end-to-end Continuous Integration (CI) / Continuous Deployment (CD) automation- DevOps-ify the organization as a whole by breaking down silos and collaborating with the development / QA / client-facing teams / IT / Security teams- Spearhead the migration activities from on-prem/private to the public cloud (AWS/Azure)- Transition repetitive manual work to 100% (or close to 100%) automated workflows e.g. automate the weekly backup generation of production databases' and application code, automate the preparation of dev/qa/staging environment, enable the automation of client-specific files processing containing sensitive customer data etc.- Systems Administrator and in-house expert on DevOps tools and processes e.g. Git (GitLab/GitHub), Jenkins, Octopus Deploy, PowerShell, Bash, AWS etc.

Software engineer at the REDX MIT Incubation Centre, working in direct collaboration with MIT Media Lab, Boston (Camera Culture Lab) and the Welingkar Institute of Management Research and Development, Mumbai.- Focused on creating low-cost medical diagnostic devices for mass-screening of patients- Design and development of an integrated web-based Platform as a Service (PaaS) to host clinical data and algorithms for analysis of medical data- Confluence of hardware and software for medical prototype devices using Internet of Things (IoT)- Organizing and collaborating tech meetups with all stakeholders: city administration,makers, innovation labs, doctors, medical technicians, CEOs, venture capitalists etc.Public Outreach and collaborations:- Organized large-scale health camp during Kumbh Mela 2015, Nashik- Moderator for Health Management track in Smart City Ideation Initiative 2015, Nashik- Organizer for MIT REDX Health Tech Café meetups, Mumbai- Presenting at Medicall, India’s Premier B2B Medical Equipment Expo, Mumbai, Oct 2015- Presenting at Maker Mela, India’s largest Maker Movement, Mumbai, Oct 2015- Participated in the Internet of Things workshop with Funstore.io, MLABS Research Inc, RiiDL, Mumbai 2015

Reference letter: https://drive.google.com/open?id=1B6Z9aBMYZmh4Mio6tUyCY9jHi6rWqbWB- European XFEL is the world's brightest X-ray laser source in operation- Designed & developed a centralised software-deployment framework using Python and Bash. Used for multi-unit concurrent deployment for >1000 system nodes.- Build packaging and build deployment, Source-code control management (SVN and Git), Redmine project management of distributed system big-data Karabo framework, it's 100+ plugins (apps), associated 3rd party SDK dependencies. For Linux/Mac/Windows.- Continuous Integration (Jenkins) and Continuous Deployment (Puppet).

My work at one of the top 3 universities for Computer Science and Bioinformatics in Germany.- Large-scale information retrieval from biological databases (UCSC Genome Browser)- Complete information system with comparative genomics post-retrieval result-analysis workflows- GUI frontend developed with Java Swing and Java web start- Complete Open-source (available on SourceForge)- Technologies Used: Java, Java Swing, Java web start, MySQL, UCSC Genome Browser, Eclipse etc.

- Created Selenium based automated testing framework for "Study Finder" project- Bringing together of multiple technologies and platforms- Technologies Used: Java, Selenium, SVN, cronjob, Eclipse etc.

- Created software application for parsing and manipulating LaTeX documents- Practiced industry-standard software development life cycle- Technologies Used: Java, Python, LaTeX, shell scripting, Eclipse etc.

- Designed GEO importer for gene expression data in Key Pathway Miner for both MINiML/SOFT formats- Technologies Used: Java, XML, Eclipse etc.