Summary
Overview
Work History
Education
Skills
Project
Project
Achievements and Skills
Timeline
Generic

Godha Vishnu Sai Preetham

Hyderabad

Summary

Intern at Ceremorphic Technologies with expertise in C/C++ and Python, developed a Producer/Consumer model utilizing RiskV on a Real-Time Operating System. Demonstrated proficiency in machine learning and NLP, showcasing strong problem-solving skills and a focus on innovation in electronic manufacturing.

Overview

1
1
year of professional experience

Work History

Intern

Ceremorphic Technologies Private Limited(formerly Redpine Signals)
Hyderabad
09.2024 - Current
  • Developed and ported OpenSBI bootloader on RISC-V spike platform; contributed to boot flow analysis and updated platform support.
  • Integrated FreeRTOS on FPGA and implemented interrupt-based communication using APLIC and IMSIC between PCIe endpoint and RTOS on host.
  • Worked on ELF loading and porting OpenSBI to the C300 platform for custom FPGA environments.
    Proficient with RISC-V architecture, Makefiles, C programming, Linux, and Git-based workflows.

Education

Bachelor of Technology (B. Tech) - Electrical and Communication Engineering

Sreenidhi Institute of Science And Technology
Hyderabad
01.2022

Board of Intermediate Education - MPC

Narayana Junior College
Hyderabad
01.2018

Matriculation -

Vidya Kiran High School
Hyderabad

Skills

  • C/C
  • Python
  • Power BI
  • SQL
  • Machine Learning
  • NLP

Project

Real Time Threat Detection Using Machine Learning

All places where security is concern have CCTV cameras installed indicating increase in manual surveillance, which is inconvenient, time consuming and inefficient. Security involves detecting various threats like theft, violence, and potential explosions. Traditional systems require constant human attention and large datasets for video-based analysis, making detection—especially of group violence—challenging.

The main goal of this application is to identify weapons in the surroundings, such as gems, knives, and fire, and to notify management of the potential threat by sending a screenshot to the user interface. When a weapon is held towards a person, this app notifies the authorities.

  • Technologies used: Python, GitHub, Roboflow, Dark net.

Project

Automatic Synchronised FSM Based Traffic Light Controller

Worked on designing a Traffic Light Controller, which functions as a sequential circuit. Xilinx Vivado is used as the development and analysis tool, with implementation carried out on the Nexys-4 Artix-7 FPGA board. The design focuses on optimizing access to shared intersections and efficiently distributing green light time among different traffic directions, particularly during peak and off-peak hours. The system aims to reduce vehicle waiting time during off-peak hours, making it more efficient than current traffic control systems. Future enhancements may include additional features to adapt the controller to diverse traffic conditions at various locations.

  • Technologies used: FPGA, VLSI, Verilog HDL, XILINX.

Achievements and Skills

  • Quick learner, team player, flexible, and passionate about my work
  • Languages known : English, Telugu, Hindi
  • Actively participated in college events as member of Arts Club

Timeline

Intern

Ceremorphic Technologies Private Limited(formerly Redpine Signals)
09.2024 - Current

Bachelor of Technology (B. Tech) - Electrical and Communication Engineering

Sreenidhi Institute of Science And Technology

Board of Intermediate Education - MPC

Narayana Junior College

Matriculation -

Vidya Kiran High School
Godha Vishnu Sai Preetham