About

Balaji Kulkarni is a Lead Engineer at Qualcomm with a strong background in Embedded Software Engineering. He has a passion for harnessing the power of AI into the space of Embedded Systems and enjoys learning and working on it. Balaji has a technical skillset that mainly consists of C/Python/C++, Embedded Systems, Kernel Device Drivers, Windows/Linux internals, ARMv8, TrustZone(TZ), Real-Time Operating Systems(RTOS), Data Structures and Algorithms, Convolutional Neural Networks, and Embedded Machine Learning. Balaji has experience in designing and developing platform BSP drivers for Qualcomm SOCs primarily. He is also proficient in frameworks such as Windows Driver Framework, DMF from Microsoft, Keras, and TensorFlow. He uses various IDEs such as SourceInsight, Visual Studio, CodeWarrior, PyCharm, Google Colab, and Jupyter. Balaji is well-versed in Version Control tools such as Perforce and Github and Debuggers such as GDB, WinDbg, and Trace32. Balaji has a Bachelor of Engineering degree in Electrical, Electronics, and Communications Engineering from b.v.bhoomraddi college of engineering & technology. He has relevant experience of 2.94 years and has worked with Cisco in the past. Balaji is a Deep Learning Enthusiast and has expertise in Jupyter, Keras, AI, ML, Tensorflow, Neural Networks, Python, and C. When Balaji is free, he works on his pet projects, goes for a run, or reads a book. He is also active on GitHub, where he shares his work and collaborates with other developers. With his expertise in Embedded Systems and AI, Balaji is a valuable asset to any organization.