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Aspiration Statement
“I want to pursue a career in AI/ML, particularly computer vision, and hardware design, with a focus on exploring their intersection. For this, I seek to pursue a graduate degree.”
Core Skills
- Analog Design
- C++
- C
- Cadence Virtuoso
- Digital System Design
- MATLAB
- NoSQL
- Python
- SQL
- Verilog HDL
Academic Awards / Achievements
- President's List in Fall 2023,
- Kennesaw State University
- Dean's List in Fall 2022, Spring 2023, Spring 2024
Experience
Leadership / Meta-curricular
- Community Service at Salvation Army, The Remnant United - Atlanta,
- Cultural Ambassador, US Department of State
- Marketing Lead, HUCon IV (2023)
- Student Life Ambassador (2022-2023)
- Marketing Lead, CERN International Physics Masterclass 2022 held at Habib University
Internship / Volunteer Work
- Student Researcher, STRP-1, Habib University (June – August 2023)
- Student Researcher, STRP-2, Habib University (June – August 2024)
- TA for Digital Signal Processing, Habib University (February – April 2025)
- TA For Signals and Systems, Habib University
- TA for Data Structures and Algorithms, Habib University (January – April 2025)
Final Year Project
Project Title
A Low power area efficient switching fabric design for high radix systems
Description
With the rise in the popularity of AI, cryptocurrency, and big data, there is an increased demand for large data centers, causing a dramatic increase in global power consumption, most of which is consumed during transmission. The hardware required for this transmission consists of a switching fabric comprising an array of switches lacking adaptability and smartness, leading to inefficient power usage. Thus, we introduce adaptive analog circuits to the switching fabric, enabling it to detect when to operate at high or low speeds depending on the workload. This adaptability leads to significant power savings as the system only draws current when necessary. Using the SkyWater 130nm CMOS technology stack and state-of-the-art Cadence analog design tools, this project introduced us to practical challenges in low-power circuit design—extending beyond academic concepts.