Gnana Sree Chirasani

About

Engineering student with hands-on experience in embedded systems, FPGA/VLSI, AI/ML, and hardware-software co-design through technical projects and training programs. Interested in entry-level opportunities to apply technical skills, learn new technologies, and contribute to team-based product development.

Skills

• SQL <3 months
• C <3 months
• CSS <3 months
• Computer Vision <3 months
• HTML <3 months
• Bootstrap <3 months
• Python <3 months
• Java <3 months
• JavaScript <3 months
• Node.js <3 months
• OpenCV <3 months
• TensorFlow <3 months
• Embedded C <3 months
• Circuit Design <3 months
• I2C <3 months
• UART <3 months
• CNN (Convolutional Neural Network) <3 months
• Model Deployment <3 months
• SPI <3 months
• Data Structures and Algorithms <3 months
• Fsms <3 months
• Verilog Hdl <3 months
• CMOS <3 months
• ARM <3 months

Tools / apps / platforms

• Arduino <3 months
• Git <3 months
• Snowflake <3 months
• The MathWorks MATLAB <3 months

Projects

• Alcohol Sensor & Automatic Engine Locking System
  Embedded C, Microcontrollers, MQ Sensors, Relays

  Designed an embedded hardware safety unit to sample blood alcohol concentration and lock engine ignition upon breach.

• Silent Accident Detection System
  YOLOv8, Python, OpenCV

  Built an automated road accident detection system processing live CCTV video feeds with frame extraction and annotation.

• SilentSOS – AI Emergency Alert System
  Python, OpenCV, Computer Vision

  Engineered a real-time computer vision system detecting facial expressions, eye blinks, and hand gestures with an instant automated emergency alert mechanism.

• Eco Light Maestro – Time Intensity Adaptive Street Light Automation
  Embedded C, LPC2148 (ARM7), Keil µVision, RTC, LDR, LCD, Keypad

  Developed an automated street lighting system using LPC2148 with RTC scheduling and LDR ambient light sensing. Integrated LCD, Keypad, UART, and Embedded C firmware to optimize power consumption based on time and light intensity.

• Design and Functional Verification of a 3-Stage Pipelined RISC-V (RV32I) Processor Core
  Verilog HDL, RISC-V (RV32I), ModelSim, RTL Simulation

  Designed and implemented a 3-stage pipelined RISC-V (RV32I) processor using Verilog HDL and performed functional verification using ModelSim with custom assembly test programs and HEX files.

• Real-Time Object Detection Using Hardware-Accelerated CNN on Xilinx Zynq FPGA
  Xilinx Zynq FPGA, ARM Processor, CNN, Embedded AI

  Developed a hardware-accelerated object detection system using CNN on the Xilinx Zynq FPGA platform. Implemented real-time object detection with ARM processor integration for embedded AI applications and optimized inference performance using FPGA-based hardware acceleration.

Courses & certifications

• Bharat AI-SoC Student Challenge · Arm Education / MeitY, Govt. of India · 2026
• Web Development · Brainovision
• Generative AI Applications
• Arduino & Vega Processors
• PCB Design · VGS Tech
• Snowflake Certification · NSIC
• Embedded Systems Certification · Intrainz
• VLSI for Beginners · NIELIT Calicut
• AI/ML Training Program · IIIT Hyderabad
• VLSI Physical Design · VLSIGuru
• Gen AI 101 · FutureSkills Prime / NASSCOM IT-ITeS Sector Skills Council
• National Intellectual Property Awareness Mission (NIPAM) · Intellectual Property Office, Govt. of India

🏆 Achievements & awards

• Special Prize in Microcontrollers & IoT

  Awarded by IETE Nanotechnology Council for excellence in microcontroller project implementation.

• Special Prize in Design Thinking

  Recognized for user-centric design and application architecture for the Smart Vote app.

🎯 Hobbies & interests

• learning
• technology
• problem-solving