Souvik S.
Flight Software Developer @ ATMOS Space Cargo
About
Experienced Embedded Software Developer with a strong focus on firmware, microcontrollers, and embedded systems. I am currently working at Atmos Space Cargo on their Phoenix Capsule, which aims to be the first technology to use Inflatable Atmospheric Decelerators to return back to Earth with zero fuel. I am proficient in languages like Rust, Python, C/C++ and Go. I have worked on Embedded Linux, EAGLE and Yocto as well. I am pursuing an MSc in Information Technology at the University of Stuttgart. My enthusiasm for learning is matched only by my passion for open source software, astronomy, geopolitics, history, and DIY projects. Hobbies include music, running, cycling, working out, and reading. Feel free to drop me an email at souvikssaha@gmail.com or st190810@stud.uni-stuttgart.de
Germany
Stuttgart
Defense & Space
ECSS, CCSDS, Simulink, Software Architecture, MATLAB, Systems Programming, Programming, Communication, Git, IMU, Bluetooth Low Energy, Computer Science, Product Development, Research and Development (R&D), Artificial Intelligence (AI), English, Machine Learning Algorithms, C++, Prototyping, Medical Technology
Experience

Embedded Software Developer
Pune, Maharashtra, India
- Led the maintenance and development activities of the existing Sleep Apnea detecting solution - Identified requirements for new features and ensured adherence to medical standards IEC 60601-1, IEC 60601-1-2, FDA - Coordinated embedded software verification, release, and deployment activities over multiple geographies in India, Europe and USA - Maintained technical documentation for Embedded Software in accordance with ISO13495 and performed testing as per IEC 62304 - Worked on developing signal processing algorithms on Rust as a PoC

Embedded Systems Engineer
IIT Bombay
- Implemented high audio quality for the end user by optimising audio filters and gain parameters on TI's PurePath Studio GDE - Identified hardware components keeping in mind requirements and specifications for audio signals - Streamlined the deployment by creating Python based tools for testing and programming the devices
Education

Information Technology (Embedded Systems)
Courses opted - WS23/24 Embedded Systems Engineering, Sensor Principles and Integrated Circuits, Software Engineering for Real-Time Systems, Advanced Mathematics, Signal Processing for Human Brain Potentials (EEG) SS24 Modelling and Analysis of Automation Systems, IT Service Management, Business Process Management, Semiconductor Engineering 4 WS24/25 Electronic Design Automation, Research Project SS25 Risk Assessment for Robotic Systems, Master Thesis Master Thesis - Edge AI based Fault Detection Isolation and Recovery in Mission Critical Systems Lab course - Algorithmics
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