Leading a team of engineers to work on the intersection of Software integration and Robotics Automation

Leading Cloud and Data Analytics vertical of Honeywell AI & RoboticsProjects:• Smart Flex Depalletizer• Autonomous Robots• Led a proficient Cloud & Data Analytics team of 4 developers, leveraging expertise to architect, design, & implement robotic solutions• Successfully orchestrated the end-to-end execution of a high-value Smart Flex Depalletizing robot, valued at $3.2M, ensuring itsseamless integration into production and collaborated effectively with cross-functional teams for optimal outcomes• Architected a robust cloud infrastructure on Azure cloud, strategically deploying an array of warehouse robots by employing Python,Scala, and SQL to enhance efficiency, scalability, and overall performance• Spearheaded a transformative initiative resulting in a remarkable throughput achievement of 600 PPH (Picks Per Hour) through thedeployment of APIs, Databricks data pipeline, managing cloud services utilizing Azure Data Explorer, Event Hub and IoT Central

Mentored Azure Cloud and Data Analytics team of Honeywell AI & RoboticsProjects:• Smart Flex Depalletizer• Packet Picking• Engineered data pipelines for Packet Picking Fault Analysis project, retrieving robot data via HURC & ingesting into Azure Data Lake• Developed over-the-air upgrades features for autonomous robots using C++, React web-interface & data framework using Snowflake• Remarkably accelerated defect resolution in robots by 3x, using ML predictive analytics and real-time insights using Power BI

Deployed Azure Data ETL pipelines and conducted reach for AI/ML Center of Excellence teamProjects• Robot Depalletizer• Connected Robotics• Side By Side ScannerProject Robot Depalletizer • Created cloud infrastructure on Azure IoT Central to develop a pipeline to collect the telemetry and perception data from the robot via HURC, PLC, and Forge cloud• Developed the Key Performance Indices of the robot’s daily functioning and created analytics for customer via interactive dashboards Project Connected Robotics• Created data pipelines to fetch data from robot via HURC, Redis & ingest data into Azure Data Lake using Forge cloud• Developed analytic platform within Domino using Dremio, Databricks to support over the air upgrades for customer sitesProject Side By Side Scanner• Contributed to developing the computer vision 8000+ images for ML modeling and set up the Darwin platform for image annotation• Managed a team of 3 members for preparing the annotated computer images on the Darwin platform

Conducted Artificial Intelligence (AI) based research for Predictive Analytics for AI/ML Research teamProjects• Robotics Truck Unloader• Artificial Intelligence Playbook• AI Workbench Data PlatformProject Robotics Truck Unloader• Contributed to the AI/ML team of Safety and Productivity Solutions to develop IoT based safety devices • Conducted Predictive Maintenance of Robotic arm by analyzing KPIs, fault points & time-series data using ML modelsProject Artificial Intelligence Playbook• Led the team of 5 people in the capacity of Project Manager to develop an AI/ML Honeywell Playbook which included ML technologies, infrastructure, etc.• Developed the Capabilities chapter which discussed how AI brought business value and optimized results in projectsProject AI Workbench Data Platform• Developed a centralized Data Engineering platform to integrate all the data science processes within one AI workbench• Evaluated five end to end workbench pipelines and performed back-end testing to train, validate, deploy the ML models to increase DGX distribution efficiency

I represent University of Florida team for Data Science and Informatics group with the following objectives:• Worked on Data Science projects with UF team and taught the fundamentals of programming to around 100 students• Dedicated to involve in data science research with professors especially in the domain of efficient genome sequencing

I mentored the Software Development Fundamentals Lab of freshmen students for a semester. I helped students in learning the basic programming concepts. The main objectives included:• Taught Software Development Fundamentals concepts to 30 students & mentored its evaluative assignments • Discussed basics of C++, Python & Php and taught architecture of Project Development using agile, waterfall model

I worked in HPE during my summer internship where I was involved in the domain of Big Data Technology. I worked on a project which predicted the effect of 'Brexit' on the European economy. The main objectives included:• Performed Data Analysis of 'Brexit' using Hadoop language for frontend & Hive Query Language, Hbase for backend• Suggested economy trend for next 2 years by analyzing curves based on positive/negative 340 millions tweets/day