ADARSH VENUGOPAL

Electronics engineering student with strong foundations in RTL design, FPGA prototyping, and high-level synthesis. Proficient in Verilog/VHDL, Vivado, Vitis AI, and Zynq-based hardware. Demonstrated skills in hardware-software co-design for embedded systems and deep learning acceleration.

• Tools: Vivado, Vitis, ModelSim, Keil, Silabs Studio, AWS
• Languages: Verilog,SystemVerilog, VHDL,Python, MATLAB, C, C++(learning), CUDA (learning)
• Domains: FPGA Prototyping, RTL Design & Verification, SoC Design ,Hardware Acceleration, DSP, AI & ML, Cloud hosting

• Student Leader & Runner-Up, AS I EVOLVE – Rotary Club of Coimbatore: Campus-nominated coordinator for a holistic mentoring and development program.
• Member, INCOSE – Amrita Chapter: Active contributor to the International Council on Systems Engineering student chapter.
• Volunteer, Social Outreach Events: Helped organize and serve food at large-scale community events, including Amma’s 70th birthday and Coimbatore visit.

• FPGA Deep Learning Accelerator: Deployed ResNet-18 on Xilinx Zynq UltraScale+ using Vitis AI 3.0 for real-time image inference with hardware acceleration.
• Gunshot Detection System (Ongoing): Designing an FPGA-accelerated solution for gunshot localization using DoA estimation, TDOA, and deep learning.
• Voice Authentication System: Developed a machine learning and DSP-based voice authenticator to enable hands-free access for the visually impaired.
• Fooling a Neural Network: Generated adversarial image perturbations to deceive CNNs, achieving targeted misclassification via converging optimization algorithms.
• Mini Projects: 27 MHz Citizen Band Walkie Talkie along with other small-scale projects in ML-DL, Digital Design, and TTL logic circuits.

• Electronic System Design & Verification
• Embedded & DSP Systems
• Computer Networks
• ML for Embedded Applications & Cross-Domain R&D

English and Hindi (Proficient), Tamil (Fluent in speech), Marathi (Basic comprehension and limited speech)

• FPGA Deep Learning Accelerator: Deployed ResNet-18 using Vitis AI on Zynq UltraScale+ for real-time inference.
• Gunshot Detection System (Ongoing): Designing an FPGA-accelerated solution for gunshot localization using DoA estimation, TDOA, and deep learning via HLS, IP Design, and IP Integration.
• Voice Authentication System: Microcontroller-based voice access control for thevisually impaired using feature extraction and ML.
• Fooling a Neural Network: Exploited CNN vulnerabilities by generating low-magnitude adversarial perturbations using convergence-based optimization strategies.
• Mini Projects: 27 MHz CB systems, mini ML models, and TTL/digital logic projects.

• RTL Design, IP Core Development, and High-Level Synthesis
• FPGA Prototyping and Acceleration
• ML for Embedded Applications & Cross-Domain R&D

English and Hindi (Proficient), Tamil (Fluent in speech), Marathi (Basic comprehension and limited speech)