I have 14 Years & 2 Months of experience. My Domain is Automotive, HVAC, and GIS. Hands-on with Technical Management, System Architecture, Design & Product Development.Handled product development for Automotive IVI Systems (Connectivity, IVR, Media, radio), Clusters (TFT), ADAS (Acquisition, Visualization), IOT (Reefer Tracking, LoRa, 4G LTE), Cold Chain (HVAC Controls), Middleware, SCADA, HMI (widgets, rendering and touch handling), Widget Drivers, Communication protocols and Telematics. Designed Simulation & Automation tools for Automotive & HVAC Systems.
I have completed MS in Software Systems from BITS Pilani. Working as Senior Lead Engineer at Carrier Global Corporation for Truck Trailer Refrigeration Units. Firmware, Automation & Simulation Tools Development for product needs. Cross-functional team management for Innovations & Benchmarking.
The Biggest professional challenge was Switching to new Technologies like Data Analytics, Digital Twin, and switching to Leadership Roles.
I chose Great Learning as I have an Intention to do a PG certification from a well reputed University. Great Learning allows getting certified from UT Austin. No apprehensions about learning through online mode. Preferred this as a better learning mode, considering my workload.
Mentored learning sessions helped me in understanding the application of AI & ML concepts in other domains apart from Automotive.
Also, helped me in acquiring a good knowledge of various concepts of AI & ML. Now I am confident enough to explain & apply AI & ML concepts to project needs.
The quality of mentored learning sessions is good. Looks like the mentors have deep application knowledge of AI & ML concepts. Real-time problem statements are interesting.
As far as the AI & ML program is considered, Mentor’s explanation became the key to understanding the concepts more effectively. Apart from video lectures, I felt it’s very much needed to attend mentoring sessions. Gained confidence in showing the applied AI & ML concepts in my resume. Now can correlate the concepts implemented in projects to the course contents. I feel like have good knowledge of machine learning concepts compared to others.
Concentrate on the basics/roots of ML (like python, advanced statistics). The rest of the concepts will be much easier to understand. Also, can apply better to real-world problems.
