A highly accomplished senior management IT professional with 12+ years of AI/ML experience, and overall 23 years of experience in R&D, Product Development and Program Management. I have deep expertise in SDV, AI/ML, Data Science, Embedded, Speech Middleware, Natural Language Processing (NLP), Language Modelling, Signal Processing, ADAS, Computer Vision, Automotive, IOT, Connected Car, Automotive ECU development for hybrid vehicles and Car Infotainment-related fields.Over the course of my career, I have gained exposure to SDV and AI/ML primarily in the area of Speech MW products like Automatic Speech Recognition (ASR), Voice Trigger, Text to Speech (TTS), Advanced Driver Assistance Systems (ADAS) and Smart sound related projects. The skills I bring to this role include experience in several areas, including Natural Language Processing, Language Modelling, Signal Processing, Object Detection, Vehicle Detection, Pedestrian Detection, Driver Activity Detection, Road Segmentation, Multi Task Learning, Trailer Hitch Assist, Computer Vision and Automotive ECU development for hybrid vehicles.I hold a Master of Science (M.S) degree in Artificial Intelligence/Machine Learning from Liverpool John Moores University(LJMU), UK along with a Post Graduate Diploma in AI/ML from International Institute of Information Technology Bangalore (IIITB), India. A paper on Driver Distraction Detection using deep neural network for ADAS has been submitted as part of the university's academic activities.In my current role at BlueBinaries Engineering and Solutions Pvt Ltd, I lead the AI/ML Practice and SDV Software Architect team. Responsibilities include understanding and implementation of SDV use cases, ZONAL Architecture Design, Web-based Workbench Development, Vehicle Functional Model and Vehicle Test Model Development, Software Design Execution, Software Verification, AI/ML infused monitoring and Analytics, Predictive Maintenance, etc.I am also a PMP, CSM Certified professional having familiarity with Automotive product development process knowledge (ASPICE, ISO 26262) and understanding of FMEA, FTA, FMEDA, etc.I have strong experience in creating Docker containers from scratch as well as leveraging existing Linux Containers. Also managed local deployments in Kubernetes, creating a local cluster and deploying application containers. During the course of my work, my credentials include substantial responsibility with documented success in various leadership roles.Feel free to contact me at 'abhilash.ramadas@gmail.com' if you wish to get in touch
Listed skills include Embedded Systems, Speech Recognition, Voice Trigger, Text To Speech, and 23 others.