Yasir Habib

→ Leveraging LLMs for automated Short Video Content Analysis conducted on cross-platform like YouTube and TikTok.

→ Leading TikTok data mining, prompt engineering, regression, LLM analysis, and comparing results with YouTube data.

• Automated engineering requirements traceability for mission-critical systems and transitioned to scalable document processing solution in order to improve compliance across multiple teams.

• Designed and implemented FPGA unit tests using VHDL ensuring hardware met project standards.

• Validated FPGA boards leveraging real-time data collection via Com-port using oscilloscopes and breakout boxes.

• Developed UI to test multiple boards to provide real-time monitoring, event logging in order to reduce testing time

• Developed automation using a virtual F-16 system for increasing testing efficiency and ensuring strict performance and reliability benchmarks.

• Created Python based solution to streamline onboarding of new hires and software installations reducing setup time and ensuring installation of necessary software and updates.

• Common and standard Python version validation on Linux systems, ensuring version compatibility.

• Collaborated with engineers to troubleshoot and resolve PCB hardware issues, conducting failure analysis and implementing solutions to improve long-term reliability and robustness.

• Optimized manufacturing processes and design validation, reducing hardware failure rates during prototypes bring-up.

• Optimized the backend in Julia for high-performance computing, reducing computation time through parallelization and improving scalability for large datasets.

• Developed a React-based frontend UI for user-friendly interaction, allowing remote access for team members and stakeholders.

• Integrated CI/CD pipelines to automate testing and deployment, ensuring stability with each code update.

• Hosted the application on a local server using ngrok, allowing remote access for team collaboration and feedback.

• Designed and implemented an operating system for the x86 architecture, enabling multitasking through kernel thread support.

• Extended the OS with features such as user program execution, a file system, and virtual memory management, allowing it to handle more complex computational tasks.

• Enhanced terminal command functionality to support dynamic background settings inspired by BASH terminal features.

• Implemented argument parsing logic to enable flexible input handling for terminal commands.

• Developed a method for seamlessly integrating user-defined settings into terminal operations.

• Optimized command execution flow to improve overall user experience and responsiveness.

• Developed an assembler, cycle-level simulator, and a pipelined implementation of the LC-3B machine, simulating realistic computer processing.

• Augmented the state machine to support advanced features like interrupt handling, exception management, and virtual memory, improving overall system efficiency.

• Designed a real-time sign language interpreter with OpenPose Model, achieving 90% accuracy and translating them to sign language alphabet.

• Scraped and curated a dataset for multi-language processing (French and Spanish) enhancing the model’s ability to recognize language-specific gestures.

• Utilized advanced deep learning models, demonstrating how AI can effectively bridge communication gaps for sign language users.

• Built a user-friendly interface using Streamlit that simplifies complex healthcare documents, enabling users to submit feedback on policy proposals.

• Processed large healthcare documents using PyPDF2 and GPT-4, reducing review time for 1,000+ page documents to under 15 minutes.

• Developed an efficient AI-driven system that highlights relevant sections and explains technical terms for non-experts.

• Integrated document parsing and semantic embeddings to create a streamlined review and feedback platform for healthcare advocates.

• Developed a wireless game controller using the ARM-Cortex TM4C microcontroller, enabling real-time game control via Wi-Fi.

• Implemented MQTT protocol for lightweight Wi-Fi communication, facilitating smooth data exchange between devices.

• Wrote device drivers for peripheral components - ES8266 Wi-Fi module to ensure wireless connectivity of the controller.

• Designed a stopwatch/timer using Verilog on the Basys 3 FPGA board, implementing the RTL design methodology for hardware description.

• Wrote testbenches to verify the correctness of the design, ensuring the system met timing and functional specifications.