Isaac Ogunmola Email & Phone Number

Oshawa, ON, CA

Toronto, Ontario, Canada

Markham, Ontario, Canada

• Developed and verified HTOL and Repair/Redundancy Allocation DVT patterns for Memory Built-In Self-Test logic. Synopsys VCS was used for simulation, and Synopsys Verdi was used for analysis and debug. The tests were.
• Analyzed shmoo plots to determine and proffer solutions to failing dies during Wafer sort for MI300* products. This required detailed knowledge of CMOS Characteristics, Process Corners (ff, tt, ss), and Timing.
• Generated, organized, verified, and delivered 100+ files documenting the logical connectivity and physical coordinate information for millions of SRAM macros for two dies. This information was used to assess.
• Extracted geometric information from LEF and DEF files to provide XY coordinates and logical connectivity of all data-carrying TSVs. This information was used to detect and inspect defective TSVs and alignment issues.
• Gained a detailed working knowledge of numerous IEEE standards like IEEE 1149.1 (JTAG), IEEE 1500, IEEE 1687 (IJTAG), and IEEE P1450 (STIL).
• Used my knowledge of Physical Design, C++, Python, and Discrete Mathematics to build a tool that creates high-quality daisy chains comprised of 300+ macros in under 15 minutes while meeting stringent Physical and.

Oshawa, Ontario, Canada

• 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗔𝗿𝗲𝗮: Pruning in Deep Neural Networks 𝗦𝘂𝗽𝗲𝗿𝘃𝗶𝘀𝗼𝗿: Dr. Amirali Salehi-Abari.𝗔𝗰𝘁𝗶𝘃𝗶𝘁𝗶𝗲𝘀:
• Developed and implemented Deep Neural Network architectures (including custom ResNets) in PyTorch to evaluate ideas and potentially publishable findings. Models were modified to evaluate several design trade-offs and.
• Reviewed academic papers to critique, understand, modify, or implement ideas.
• Wrote numerous reports detailing experimental designs, results, and analysis of various pruning algorithms. Principal Component Analysis (PCA) was often used for dimensionality reduction and exploratory data analysis.
• Created visualizations to analyze and communicate model performance and hyper-parameter response for a wide variety of architectures and statistical learning techniques.
• Explored statistical learning techniques like Decision Trees, K-Means Clustering, and others to evaluate ideas pertaining to an ensemble of classifiers.𝗧𝗼𝗼𝗹𝘀:

Oshawa, Ontario, Canada

• Assisted in developing a system for organizing stocked products at a new store to ensure accessibility and reduce health and safety hazards.
• Resolved numerous customer complaints by listening to their concerns and providing professional feedback in a courteous and empathetic manner.

Bachelor Of Engineering - Be, Electrical Engineering

Bachelor Of Engineering - Be, Computer Engineering, Gpa: 5.0/5.0 (Alpha Semester)

Secondary School Diploma

Activities and Societies: Student Body President