Ajay Tammuluri

Motivated and detail-oriented electrical engineering graduate student with strong technical expertise in Python, MATLAB, FPGA programming, and hardware design. Proficient in utilizing analytical and problem-solving skills to deliver innovative solutions in digital image processing, signal processing, and GPU-based data analysis. Demonstrates exceptional teamwork and adaptability in dynamic environments, with a proven ability to quickly learn and implement new technologies. Skilled in producing clear and impactful technical presentations and reports. Actively seeking an internship or full-time opportunity to apply skills in a collaborative and challenging environment while contributing to the success of the organization.

• Published research on FPGA design for biomedical applications in a peer-reviewed journal.
• Presented insights on high-speed circuit design optimization at an IEEE conference.
• Recognized as an outstanding contributor to graduate projects at Florida Tech.

• FPGA-Based Anomaly Detection System, Developed an FPGA-based anomaly detection system using the IoT-23 dataset, focusing on optimizing real-time processing on the PYNQ Z2 platform to enhance accuracy and response times.
• Enhancing Climate Data Analysis Using GPU Computing, Analyzed weather patterns using GPU computing on Google Colab with NVIDIA T4 GPUs, conducting a performance study comparing GPU and CPU processing times for large-scale data, demonstrating significant speed improvements.