I am a passionate and driven AI/ML professional with a strong foundation in computer science, machine learning, and software engineering. Currently pursuing a Bachelor of Science in Computer Science at the University of South Florida, I have hands-on experience developing AI solutions and machine learning models to solve real-world problems. My expertise spans across natural language processing, data processing, and full-stack web development. I have interned as an AI Engineer at ExRx.net, where I contributed to the development of a Retrieval-Augmented Generation (RAG) system using advanced multi-agent architecture and quantization techniques to enhance model efficiency. As a Machine Learning Research Assistant at the USF Robot Perception and Action Lab, I worked on an NIH-funded project where I developed a video data processing pipeline incorporating CNN and LSTM models for medical applications, optimizing predictions for real-time deployment. Additionally, I have a strong background in software development, having built and maintained web applications that improved user engagement. I am proficient in Python, C, C++, React.js, and PyTorch, with practical experience in using tools like Hugging Face Transformers, OpenCV, GCP, and SQL. I am now seeking opportunities in AI/ML research assistant roles or industrial positions in AI/ML, software engineering (SWE/SDE), or data science, where I can apply my technical skills, continue to grow, and contribute to innovative solutions.

Ishaq Sharfuddin Sadiq Ali

AI/ML Enthusiast Seeking Research Assistant or Industrial Roles in AI/ML, Software Engineering, and Data Science

About

Education

University of South Florida

Bachelors, Computer Science / December, 2025 (anticipated)

Tampa, Florida, United States of America

Experience

ExRx.net

AI Engineer Intern / August, 2024 — Present

Engineering a Retrieval-Augmented Generation (RAG) system utilizing multi-agent architecture to integrate a specialized knowledge base for physical therapy, through a hybrid search mechanism to improve retrieval accuracy and relevance. • Quantized the MedAlpaca-13B model using LoRA, employing it as the base large language model (LLM) for the RAG system to enhance efficiency and response accuracy in generating domain-specific content.

Robot, Perception and Action Lab @ USF

MACHINE LEARNING RESEARCH ASSISTANT / August, 2024 — Present

Contributed to the NIH-funded project “A Multimodal Approach for Monitoring Prolonged Acute Pain in Neonates” by developing a video data processing pipeline that integrates a bilinear CNN for feature extraction and an LSTM for sequential analysis, enhancing the system’s ability to monitor pain over time. • Evaluated the models to optimize the pipeline for future real-time deployment and improve the accuracy of outcome predictions

College of Computer Science and Engineering

Teaching Assistant / January, 2024 — Present

Assisted 100+ students in Operating Systems with coding support, lessons, and grading, boosting class average scores by 15%. • Helped teach Advanced Program Design, guiding students on programming concepts and problem-solving.

College of Chemical Engineering @ USF

React Web Developer / January, 2024 — May, 2024

Developed and maintained 3 responsive web applications using React, JavaScript and CSS, enhancing user experience and performance across multiple devices and browsers, resulting in a 25% increase in user engagement

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