Dipak Sairamesh
Development
CA, United States
Skills
Machine Learning (ML)
About
Dipak Sairamesh's skills align with Programmers (Information and Communication Technology). Dipak also has skills associated with System Developers and Analysts (Information and Communication Technology). Dipak Sairamesh appears to be a low-to-mid level candidate, with 3 years of experience.
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Work Experience
Makerspace Specialist
Northeastern University
January 2023 - June 2023
- Implemented Trello automation to streamline 3D printing, CNC routing, and rapid prototyping using data-oriented assessments to identify bottlenecks, optimize studio machinery allocation, and expedite production by 60%. Managed financial budgets, inventory lists, and procurement records using Excel, showcasing proficiency in economic decision making and strategic planning aimed at strengthening student programs and initiatives. Delivered comprehensive technical training to 250+ students in software aptitude and hardware proficiency, offering feedback to enhance product design for ease of manufacturing, cost optimization, and time efficiency. Competencies: Project Management, Market Research, Root Cause Analytics, A/B Testing, CAD / CAM, Arduino
Customer Success Engineer, Software Development
Aruba Networks
February 2019 - July 2021
- | India Automated scripts using Python, Postman, REST APIs, and JSON, resulting in a 90% faster post-migration validation, and optimized KPI supervision and standardization across tools to enhance operational efficiency. Co-engineered Aruba User Experience Insight (UXI), an AIOps-powered monitoring dashboard solution, using data from UXI / Cape sensors and dynamic packet capture to boost end-user experience and visibility by 75%. Utilized statistical modeling techniques in Tableau and PowerBI to analyze performance patterns, trends, and anomalies, resulting in an 80% expansion into network security insights for prevention of bugs / threats. Created Grafana and Kibana surveillance dashboards for data visualization of system CPU, memory, disk, and I/O utilization for InfluxDB, Prometheus, and AWS Elasticsearch databases, accelerating troubleshooting by 2x. Mentored a team of 10 across 3 sites (India, USA, Australia) in predictive forecasting for spectrum analyses, report generation, and BOM organization that saved 20+ hours weekly and improved resource utilization by 50%. Competencies: Version Control (Git/GitHub), Containerization (Docker, Kubernetes), CI/CD (Jenkins), Virtualization (VMWare), Agile (Jira, Confluence), Cloud (AWS, Azure, GCP), Java, R, SQL / NoSQL, Data Mining, Data Science
Education
Northeastern University
Master of Science
PES University
Bachelor of Technology
Graduate Leadership Institute
