Passionate and Energetic Developer looking forward to work in Embedded System and Deep Learning, alongside Improving the standards of organisation
Spring 2023 - Grader for ECEN 248 - Introduction to Digital Systems Design
Summer 2023 - Student Technician (SETH Lab)
Fall 2023 - Grader for ECEN 426 - Security of Embedded Systems
Involved in the development of RISC-V based indigenous processor called Shakti Microprocessor. Working as a Linux Kernel Engineer along with various other projects such as Secure Hypervisor, Bootloaders and writing device drivers(both baremetal and linux).
Worked on Python for Backend Web Development using Flask. Worked on SQLite3 and PostgreSQL Databases. Data Security for Databases(Database Encryption and Hashing Sensitive Information). Automation of Forgot Password Mails and Registeration Mails. Gallery handling from backend. Analytics/Data Handling of User Data for Chest X-Ray based COVID-19 Detection.
Lead my Team for Graduate Project on "Electroencephalogram Signal Processing using Independent Component Analysis to classify Cognitive Stress" under the guidence of Dr. Madan Kumar Lakshmanan and Dr. Balaji Mahadevan.
Internship on Study of Signal Processing Technique for EEG Signal Processing
An In-Plant Training on various sections of Chennai Port which include Power Management for Port, Logistics, Crane Mechanics.
A dynamic photographer who has covered technical and cultural festivals of SSN College of Engineering from 2016 to 2020.
Current GPA : 3.67/4.00
CGPA : 8.16/10.00
Score : 462/500 (92.4%) Computer Science Group
A course on Management including Marketing, Costing, Data-Driven Decision Making, Accounting, Psychology.
Score : 9.0/10.0
Developed fuzzing framework on Beagle Bone Black PLC for AM335X processor using OpenOCD and GDB. Also, we have designed Python script to dispatch operations to board and gather coverage, which can be used for bug detection.
Designed a FIFO-based cache replacement strategy in Champsim simulator (inspired from S3FIFO algorithm) using the concept of quick demotion to increase efficiency. Benchmark evaluation yielded a maximum improvement of 29.2%, with an overall average improvement of 2.6%.
[GitHub]Conducted experimental study enhancing quantum computing with custom instructions, leveraging Quil language. Developed instructions similar to existing instructions and more quantum-specific instructions like ADD and QFT.
[GitHub]Implementation of "B" extension from RISC-V in Shakti Microprocessor and verified the implementation using CoCoTB in Python. The implementation was found to be 15% more efficient compared to previous ones.
[GitLab]Designed Experiments to collect data and worked on Python for Denoising Electroencephalogram Signals to classify them using Deep Learning. The Denoising Algorithm used was Independent Component Analysis which performs better than traditional Principle Component Analysis.
Created a working prototype for a Smart Farm which can be accessed from any where in the world with your mobile. It can control the lighting, motors and irrigation present in the farm. The prototype was created within 24 hours.
Created a working prototype for a Smart Farm which can be accessed from any where in the world with your mobile. It can control the lighting, motors and irrigation present in the farm. The prototype was created within 24 hours.
A remote robotic hand to mimic actions of the user useful in areas of high risk such as bomb diffusal and chemical laboratories.
A low-cost weather receiver capable of receiving data from NOAA Satellites and processing through software to produce the weather map.
Implemented Image Super Resolution using Auto-Encoders in Keras(TensorFlow2.0)
[Certificate] [Code]Implemented a Quiz conducting program which reads the data and solutions from a CSV file using Python Data Structures including List, Set, Tuple and Dictionary.
[Certificate] [Code]