Muhammad Bilal

Experience

• 

  AKSA-SDS

  Aug 2021 - Oct 2021

  Engineering Intern

  Worked with embedded systems team on programming of Arm based 32-bit Micro-controllers (STM32F4XX)Learnt and implemented communication modes (SPI, UART, I2C)Generated PWM for DC motor to control its speedDesigned and simulated DC-DC and DC-AC converters

• 

  Rohde & Schwarz

  Oct 2022 - Nov 2022

  Electrical Engineering Intern

  1) Worked with testing and measurement team on maintenance and testing of measurement instruments.2) Understood working of spectrum analyzers, signal generators, network analyzers and power sensors3) Generated digital modulated signals using WINIQSim software and analyzed them on VSE software and on spectrum analyzer

• 

  University of Glasgow

  Oct 2022 - now

  Research Assistant

  During my tenure at the University of Glasgow, I engaged in focused research activities that emphasized data analysis and sensor technology integration for human activity detection. My key contributions and research endeavors included:• Data Analysis and Sensor Integration: I led efforts in analyzing data collected via RFID and XeThru radar sensors, aimed at enhancing the accuracy of human activity detection systems. This involved developing innovative methods to fuse RFID and radar data, significantly improving detection capabilities.• Collaborative Research Development: My role was instrumental in fostering a multidisciplinarycollaboration, which significantly enriched the research outcomes. This teamwork culminated incontributions to scholarly publications and presentations, notably our work that was recognized as an Honorable Mention at IEEE AP-S 2024 for "RFiDAR Fusion: Contactless Activity Monitoring via Radar-RFID Fusion". Show less

• 

  Rare Sense Inc.

  Mar 2023 - now

  Artificial Intelligence Engineer

  1) Fashion Industry Solutions: Developing a unique diffusion based model for state of the art virtual try on experiece and automating fashion photoshoots, modifying Stable Cascade model with custom cross-attention layers for enhanced realism. Proven ability in applying AI for industry-specific challenges.2) AI Application Development: Spearheaded the development of a comprehensive ChatGPT-like application,utilizing advanced custom models and deploying on AWS. Demonstrated exceptional skills in model architecture design, backend development, and image processing with Hugging Face Diffusers.3) Optimization Research: Led a research to reduce text token count by 60% without losing semantic value for faster and cost effective LLM inferences. Fine-tuning and deploying a LLaMA 2 7B on AWS. Showcased expertise in advance model training techniques like quantization, mixed precision, and cloud computing.4) Video Generation Model: Developed an innovative model leveraging SDXL as a foundation to generate dynamic videos from static images, customizing SDXL to meet project-specific requirements. Highlighted capability in diffusion models and custom architecture development.5) Advanced Model Training: Managed sophisticated multi-node training setups using PyTorch on Google Cloud with A100 GPUs. Utilized Docker and WandB for efficient model deployment and tracking. Show less