Shanmukh Bachotti

- Worked in Post Silicon Performance Validation for Server class CPUs. - Implemented several automation flows for tuning Post-Si server performance parameters to any custom workload of interest and did a comparison study of their effectiveness - Ran experimental studies using in-house profilers to analyze the i-cache performance bottlenecks for a specific workload

- TA for undergraduate class on "Introduction to Computing" led by Prof. Nina Telang

- TA for graduate standing class on Advanced Embedded Microcontrollers, led by Prof. Mark McDermott. - Supported hands-on FPGA labs, focusing on custom hardware design and IP implementation on FPGA fabric. - Assisted with the use of IPs such as AXI Burst Master and CDMA for data communication and movement within Zynq Ultrascale FPGA fabric and APUs. - Provided guidance on Xilinx design flows and addressed FPGA deployment queries.

Responsibilities involved evaluating weekly assignments on problems within Electrical Engineering domain using Python Programming, proctoring in-class quizzes and grading student viva presentations.

Worked as teaching assistant for an undergraduate course on Computer Organization by Prof. Nitin Chandrachoodan, Dept. of EE, IIT Madras. Responsibilities involved teaching to use Xilinx Vivado for RTL Design synthesis, implementation on FPGA, resolving student queries, and handling course logistics like grading the quizzes & lab assignments.

Elected by 449 department undergraduate students in the general student body elections conducted by IIT Madras, to represent at the Student Legislative Council. Responsibilities include resolving student problems/queries in Department workflow and organizing knowledge-sharing sessions, and mentoring junior batches about the courses, streams, and opportunities available in Dept. of Electrical Engineering, IIT Madras. Volunteered to organize informal social events and game nights for students of Electrical Engineering.

Leaf Blight Disease Detection system for Eucalyptus Plantations using Deep Learning. - Cleaned and augmented a raw dataset of Eucalyptus leaf images using image processing techniques. - Experimented with various Convolutional Neural Network architectures for leaf detection and disease stage identification. - Developed a highly accurate model and integrated it into a mobile application for deployment and field testing.

Recruited project members for the club-proposed projects and nurtured the club culture by organizing sessions and summer school along with the core team. I also mentored the project CVSpice - A circuit image solver.

Worked on a student proposed project on Traffic Control using Computer Vision. Developed a custom dataset of 20,000 annotated pedestrians from IDD dataset and trained a pedestrian detection and safety model using Yolov5 object detection model

Pursuing my Master's degree, I specialize in Architecture, Computer Systems and Embedded Systems (ACSES) Track. Computer Architecture, SoC Design, "Applied Machine Learning", "ML-Hardware Codesign", "Performance Evaluation and Benchmarking", "Hardware Architectures for Machine Learning", are some of the courses I have taken up during my program.

Relevant Courses: EE2016 Microprocessors EE2003 Computer Organization EE5332 Mapping DSP Algo to Arch CS6023 GPU Programming EE5311 Digital IC Design CS6330 Digital Systems Testing CS6600 Computer Arch CS6230 CAD for VLSI EE6332 Modelling and Optimization in VLSI