is a seasoned IT professional with over 20 years of experience in the industry, having worked with leading corporations such as Accenture, IBM, Oracle, Ciena, and Cummins. His extensive expertise spans Big Data, Data Engineering, Cloud Data Engineering, AI & ML solutions, Data Streaming technologies, Workflow orchestration technologies, Data Integrations, and Technology leadership. Vishwanadham Mandala is committed to contributing to the growth of data science through impactful projects, Book Authorship, mentorship, and evangelization of cutting-edge technologies. His LinkedIn profile: https://www.linkedin.com/in/
is an enthusiastic electrical - electronics and communication engineer who specializes in embedded software development, software controls integration, and system simulation. He has a solid foundation in electrification controls and autonomous vehicle engineering, as well as expertise in model-based system simulation and advanced AI applications. With more than 8 years of experience in the automotive business, Chirag has worked with prominent automotive firms around the globe. His groundbreaking control simulation techniques have played a crucial role in optimizing development processes for automobile OEMs, allowing them to accelerate product releases. Chirag is well-known for his strategy that focuses on producing outcomes. He is skilled at developing relationships, managing projects from start to finish, and guiding individuals to reach their goals. He excels in recognizing and solving intricate problems, promoting efficient solutions, and mobilizing cross-functional teams to assist projects. Chirag's extensive knowledge and proven achievements have greatly contributed to the progress of system simulation and autonomous vehicle technologies in the automotive industry.
is a passionate electrical engineer specialized in system simulation with a strong background in electrification controls and autonomous vehicle engineering, model-based system simulation, and advanced AI applications. Boasting over 13 years of experience in the automotive industry, Srinivas has collaborated with leading automotive companies worldwide. His innovative control simulation techniques have been instrumental in streamlining development processes for automotive OEMs, enabling them to expedite product launches. Srinivas is renowned for his results-driven approach, adept at cultivating partnerships, overseeing projects from inception to execution and nurturing individuals towards achieving their goals. His proficiency lies in identifying and resolving complex issues, advocating for effective solutions, and rallying cross-functional teams for project support. Through his expertise and track record of success, Srinivas has made significant contributions to the advancement of system simulation and autonomous vehicle technologies within the automotive sector.
holds a Bachelor's degree in Aeronautical Engineering and a Master's degree in Mechanical Engineering. His distinguished career spans several leading automotive companies, including Fiat Chrysler, Ford, General Motors, and Lucid Motors. Throughout his professional journey, he has made significant contributions to advancements in communication protocols, artificial intelligence, autonomous driving, and electric vehicle architecture. His innovative work is well-documented in numerous technical papers, underscoring his profound engagement with both the theoretical and practical dimensions of engineering. Balancing industry experience with academic pursuits has been a cornerstone of his professional ethos. He is committed to continuously enhancing his knowledge and skills, ensuring he remains at the cutting edge of technological innovation. This dual focus enables him to seamlessly apply pioneering research to real-world industry challenges, driving substantial advancements in automotive technology. Looking to the future, he aspires to deepen his impact on the field by engaging in research and authoring books. By sharing his insights and discoveries through writing, he aims not only to solidify his own understanding but also to inspire and educate the next generation of engineers.