Anindya Pakhira
About Anindya Pakhira
Anindya Pakhira is a Senior Software Engineer at TomTom with expertise in embedded vision, machine learning, and extensive experience in VHDL and C/C++ programming.
Current Role at TomTom
Anindya Pakhira currently serves as a Senior Software Engineer at TomTom. He has been with the company since 2019, working in the Eindhoven area. At TomTom, he focuses on embedding vision and machine learning technology within their systems. His role involves utilizing his extensive experience in VHDL, C/C++ programming, and embedded software for ARM and AVR architectures.
Previous Experience at Microflown AVISA
From 2016 to 2019, Anindya Pakhira worked at Microflown AVISA as an Embedded Systems Engineer. Located in Arnhem, Gelderland Province, Netherlands, his work here emphasized the application of embedded software programming, contributing to the advancements in their systems over a three-year period.
Educational Background
Anindya Pakhira holds a Master's Degree in Embedded Systems from the University of Twente, where he studied between 2014 and 2016. Prior to this, he earned a Bachelor of Engineering degree in Instrumentation and Electronics Engineering from Jadavpur University, completed in 2012. His foundational education includes a High School diploma with a Computer Science focus from Birla High School, studied between 1970 and 2008.
Master's Thesis Internship at Recore Systems
Between 2015 and 2016, Anindya Pakhira was a Master's Thesis Intern at Recore Systems in the Enschede Area, Netherlands. Over an eight-month period, he gained valuable hands-on experience that contributed to his expertise in embedded vision and machine learning.
Expertise and Technical Skills
Anindya Pakhira has a robust portfolio of expertise in embedded vision and machine learning. He is experienced in VHDL, C/C++ programming, embedded software for ARM and AVR architectures, SHARC DSP utilization, and UI design using Qt. Additionally, he has introductory experience in Big Data and GPGPU computing with CUDA. His background in Control and Engineering provides him with significant skills in control, signal processing, pattern recognition, and optimization.