Skip to content
View samiyaalizaidi's full-sized avatar
:shipit:
Researching
:shipit:
Researching
17 followers · 7 following

Achievements

Achievement: Pull Sharkx2

Achievements

Achievement: Pull Sharkx2

Highlights

Block or report samiyaalizaidi

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
samiyaalizaidi/README.md

Typing SVG
GoogleScholar

Hi, I'm Samiya 👋

I'm an MS Computer Engineering student at George Washington University, concentrating in Machine Learning & Intelligent Systems as a Fulbright Scholar.

My background spans machine learning and computer vision research, software engineering, and low-power hardware design.I'm interested in building efficient intelligent systems across machine learning, systems, computer architecture, and hardware.

🔭 Currently

  • 🎓 Pursuing an MS in Computer Engineering — ML & Intelligent Systems
  • 🧠 Focused on machine learning, AI systems, and computer architecture
  • ⚡ Interested in efficient AI, AI hardware, and neuromorphic computing
  • 💻 Building systems across ML, software, and hardware

🔬 Research

My research experience includes deep learning and computer vision, with work in camouflaged object detection, agricultural pest monitoring, gaze estimation, and assistive technology.

I've also worked on low-power hardware design, including CMOS circuit design and simulation using the SkyWater 130nm PDK.

💼 Engineering

Previously a Software Engineer at Conrad Labs, where I worked on a US healthcare platform and production backend systems.

I designed and shipped an AI-powered outbound calling platform with vendor-agnostic AI integrations and asynchronous workflows using AWS services including SQS, ECS, Lambda, and CloudWatch. The platform reduced outbound calling costs by 11× and manual outreach by 80%.

🛠️ Technologies

Languages: Python · C/C++ · Java · JavaScript · Verilog · MATLAB · SQL

ML & AI: PyTorch · TensorFlow · scikit-learn · Hugging Face · OpenCV

Systems & Hardware: Linux · Docker · AWS · FPGA · RTL/Verilog · Cadence Virtuoso · Vivado

Databases: PostgreSQL · MS SQL · MongoDB

🎓 Education

MS Computer Engineering — George Washington University ML & Intelligent Systems · Fulbright Scholar · Excellence Award Recipient · 2026–2028

BS Computer Engineering — Habib University Dean's Medal · Research Achievement Award · 2021–2025

UGRAD Exchange — Kennesaw State University 4.0/4.0 GPA · President's List · 2023

Always learning, building, and exploring at the intersection of AI and computing.

Pinned Loading

  1. Equalizer Equalizer Public

    Fixed Point FPGA-based Hardware Implementation of a 32-tap Low Pass FIR Filter for Audio Applications

    Verilog 11 3

  2. Image-Classification-with-RPi Image-Classification-with-RPi Public

    This repository contains all the files for the computer vision based final project of the Neural Networks and Machine Learning class.

    Jupyter Notebook 1

  3. COD-with-YOLOv8-Segmentation COD-with-YOLOv8-Segmentation Public

    Main Repository for the Paper Titled "Enhanced Camouflaged Object Detection for Agricultural Pest Management: Insights from Unified Benchmark Dataset Analysis"

    Jupyter Notebook 7 1

  4. Direct-Digital-Synthesizer Direct-Digital-Synthesizer Public

    Direct Digital Synthesizer for Generating Sine Waves using Verilog HDL

    Verilog 5

  5. FIR-Filter FIR-Filter Public

    Implementation of a low-pass FIR filter in Verilog HDL.

    Verilog 12

  6. Paging-Simulator Paging-Simulator Public

    A C-based paging simulator designed to implement and demonstrate the paging memory management technique.

    C 3