Akshat Bajpai
Software Engineer 2 at Dell Technologies
Stockton, California, United States
Summary
👤
Senior🎓
Top SchoolAkshat Bajpai is a Software Engineer 2 with eight years of hands-on experience building full-stack and distributed systems, currently shipping features at Dell Technologies. He blends a strong academic foundation (M.Eng. and study at University of Florida) with practical firmware-to-cloud experience—having implemented TCP/IP smart-meter pipelines, optimized embedded vision code for NVIDIA Jetson, and developed a real-time algorithms visualization app used to teach hundreds of students. Comfortable across C/C++, Python, Java and cloud stacks, he has improved embedded runtimes by nearly 40% and cut IoT deployment costs through pragmatic connectivity and cloud choices. Outside work he livecodes and prototypes new projects on Twitch, reflecting a continual drive to experiment and share knowledge with the developer community.
8 years of coding experience
Master of Engineering Science in Computer Science- MSES, Computer Science, Master of Engineering Science in Computer Science- MSES, Computer Science at University of the PacificBachelor’s of Technology, Computer Science, 3.85/4.0, Bachelor’s of Technology, Computer Science, 3.85/4.0 at Jaypee University of Engineering and TechnologySenior Bachelor’s of Science Certificate- CISE Student Exchange Program, Computer Science, CGPA - 3.9/4.0, Senior Bachelor’s of Science Certificate- CISE Student Exchange Program, Computer Science, CGPA - 3.9/4.0 at University of Florida
English, Hindi, French
Stackoverflow
1reputation
0reached
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Github Skills (22)
feature-matching8
orb8
matching8
controller7
face7
pythonic7
live-video7
autonomous-robots6
streaming5
slam5
embedded5
computer-vision5
face-recognition5
python5
video-streaming4
Programming languages (3)
Github contributions (5)
Akbonline/Autonomous-Drone-based-on-Facial-Recognition-and-Tracking
May 2020 - Oct 2020
The Application serves as a Virtual Remote Controller for DJI Tello/Tello Edu. Embedded with Python based Face Recognition and Tracking and Convolutional Neural Network, the application gives autonomous flight ability to the Drone. There are two modes: Manual and Autonomous mode. Additional Features included: Sports mode(Faster Flight), Flips(Forward, Backward, Left and Right), Patrolling and Live Video Streaming.
Contributions:7 commits, 6 pushes, 1 branch in 4 months
flightpythoncontrollerface-recognitionability
Akbonline/AlgoWiz-Data-Structures-and-Algorithm-Visualizers
Jun 2020 - Oct 2022
Contributions:14 commits, 13 pushes, 1 branch in 2 years 4 months
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