VENKATA SAI VASIREDDY

Accomplished Embedded Software Engineer with a Master's degree in Computer Engineering from the University of Houston - Clear Lake and three years of experience at Unistring Tech Solutions in Hyderabad, India. Expert in hardware-software interfacing, PC back-end development, and proficient in embedded testing and C programming for DSP algorithms across Windows and Linux platforms. Skilled in network protocols (TCP/UDP) and embedded communication (UART, SPI, I2C), I have a proven track record of diligently overcoming project challenges, demonstrating a strong blend of theoretical knowledge and practical expertise in embedded systems.

Project : Electronic countermeasures (ECM) using de-interleaving PDWs – Radar detection and countermeasure system (RDCM):(C, Linux )
Project Description : The PRI Tracker system receives pulse streams containing multiple signals from various radars or emitters. It processes DE-interleaved Pulse Descriptor Words (PDWs) from these sources, analyzing key parameters like Time of Arrival (TOA), Pulse Width, Frequency, Direction of Arrival (DOA), and Power (Amplitude). This information helps determine each radar's characteristics. To counter detected radars, the system generates specific timing pulses tailored to jam them based on these characteristics.
My Responsibilities :
Developed C code to receive and de-interleave Pulse Descriptor Words and extract radar properties such as track information
Developed applications on a Linux PC using concepts such as threads, shared memory, semaphores, and CPU affinity to quickly process the extracted data and obtain track information from the radar.
Researched academic resources such as research papers, journals, thesis, and conferences to design and develop an RDCM (Radar Data Collection and Management) system at the architectural level
Project: Anti-Drone System: (C,Python, Linux)
Project Description : The Anti-Drone System is designed to safely disable drones flying in restricted areas. It's particularly useful in no-fly zones and border regions to counter potential threats from enemy Unmanned Aerial Vehicles (UAVs).
My Responsibilities :
Developed and implemented a drone detection algorithm using Python and YOLO v4 weight-ages Completed the entire project AD-PMDLF (Anti-Drone Passive Multi Drone Location Fixing) by integrating various components of the anti-drone system.
Developed and integrated a user-friendly GUI application for controlling servo motors.
This project involved thorough testing of the software application and its successful integration with hardware in field operations.
Project : Anti-Infiltration Obstacle System (AIOS)
Project Description : The Anti-Infiltration Obstacle System is a cutting-edge border security solution serving as the primary defense line. This project integrates various technologies such as RADAR, Image Processing, Geo-sensors, and thermal sensors to comprehensively scan and monitor border areas. All sensor data is aggregated at a central node, where advanced data fusion algorithms and machine learning techniques are employed for efficient and continuous surveillance of the region.
My Responsibilities :
Implemented a PC-based backend counter application designed for hardware testing.
Worked as an Integration Testing Engineer, I specialized in conducting tests using simulators to validate system performance and hardware integration testing.