An Associate Software Engineer at Collins Aerospace, Raytheon Technologies working on the Airbus
Aircraft programs, and an Electrical Engineering Graduate from USC interested in Machine Learning,
Deep Learning, and Computer Vision frameworks and keen on working on developing similar
technologies.
Machine learning systems are revolutionizing the way we live, work, and interact with Deep Learning
and Computer Vision being some of the key domains that are driving this transformation. I intend to
learn and grow with the advancing technology trends.
A little about myself, I hail from Coimbatore, India, and I am a Shutterbug, a Formula 1 fanatic, a Travel buff and a Gastronomist (Would love to have Dosa anytime!).
Collins Aerospace, Iowa
Jun 2020 - Present
Associate Software Engineer
Working on developing software for the Airbus Aircraft programs.
Frameworks: SVN, Agile Methodologies
Full-Stack Developer Intern / Co-op
Developed a Flight Data Simulator that emulates sensor data from the Aircraft Flight Control System and integrated it to the Software Stack to simulate the Moving Maps Software Airshow-2 in Real-time.
Worked on the Software development cycle of the Next Generation of Interactive Moving Maps Software Package Airshow-3.
Reduced Software Testing time by 25% through Static Analysis to identify vulnerabilities and enforce better coding practices.
Frameworks: OpenGL, SVN, Agile Methodologies
Indian Institute of Science, Bangalore
Jun 2018 - Dec 2018
Project Assistant
Member of the Sub 6GHz Baseband group working on the Indigenous 5G Testbed Project of India under the guidance of Prof. Chandra R Murthy, Prof. Neelesh B Mehta and Prof. K V S Hari.
Responsible for contributing towards the development of PHY and MAC layers, primarily focussing on the transport channel blocks and benchmarking performance for further integration to higher layers of the protocol stack.
I also developed the official webpage for IISc's 5G-Testbed.
Software Stack: OperAirInterface LTE and 5G-NR Software Stack
Indian Institute of Technology, New Delhi
Dec 2017 - May 2018
Research Assistant
Developed an Automated system for Translation of Prefabricated Nanostructured Sensors over 3 dimensions under the guidance of Dr. Anuj Dhawan, as a replacement to the microscope stage of inVia Qontor Confocal Raman Microscope. The system is designed using LabView and a GUI is developed to enable the user to control the translation of the stage.
Integrated a Temperature Control System with the Automated Translational Stage for Seamless analysis of Nanostructured Sensor Substrates. LabView is used to design the system and the GUI gives the user various modes to control the temperature and also allows the user to specify the wait times for the spectroscopic measurements at different patches of the sensor substrate.
Hardware: inVia™ Qontor® confocal Raman microscope
Indian Institute of Technology, Chennai
May 2017 - July 2017
Research Assistant
Developed a complete OFDM system using the concepts of OFDM, Multicarrier Communication, Different FDM Techniques and Channel Estimation using Interpolation under the guidance of Dr. K. Giridhar
Successfully tested a modification in the LTE Frame Structure for Ranging in the PRACH aimed at efficient utilization of the available Resource elements for PRACH and allocation of unused Resource Elements for the User data.
Frameworks: Wi-Fi (802.11ac), WiMax (802.16)
[ML Algorithms]
[Ford SDL]
[ML Algorithms]
[Control Systems]
[Flight Control System]
| EE 503 | Probability for Electrical and Computer Engineers |
| EE 510 | Linear Algebra for Engineering |
| EE 559 | Mathematical Pattern Recognition |
| EE 660 | Machine Learning from Signals: Foundations and Methods |
| EE 569 | Digital Image Processing |
| CSCI 566 | Deep Learning and Its Applications |
| DSCI 553 | Foundations and Applications of Data Mining |
Machine Learning |
Andrew N G, Stanford University (LA3MJVYAY7HZ) |