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Hozaifa Owaisi

Hozaifa Owaisi

Certified

AI Engineer

University of North Carolina

Technologies

My Portfolio Highlights

My New Workbook

Project: Analyzing Car Reviews with LLMs

My New Workbook

Project: Investigating Netflix Movies data and visualizing

My New Workbook

Project: Analyzing Car Reviews with LLMs

Managing, Analyzing, Modeling and Making sense of DATA! IT RUNS THE WORLD

My Work

Take a look at my latest work.

DataLab

Project: Analyzing Car Reviews with LLMs

1Upvotes
DataLab

Project: Investigating Netflix Movies data and visualizing

1Upvotes
DataLab

Project: Analyzing Car Reviews with LLMs

1Upvotes

My Certifications

These are the industry credentials that I’ve earned.

AI Engineer for Data Scientists Associate

AI Engineer for Data Scientists Associate

Data Analyst Associate

Data Analyst Associate

Other Certificates

Amazon Web Services Training and Certification AWS Educate Getting Started with Cloud Ops

IBM Python for Data Science

Amazon Web Services Training and Certification AWS Database Foundations

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

Courses

Introduction to Python
Intermediate Python
Data Manipulation with pandas
Understanding Data Engineering

My Work Experience

Where I've interned and worked during my career.

Artificial Intelligence Institute of South Carolina | Jan 2025 - May 2025

LLM Research And Development Engineer

Contributed to the research and development of a Knowledge Editing and Testing Framework for LLMs, focusing on enhancing generative AI capabilities through custom data integration, model responsiveness, and scalable deployment using MLOps best practices. • Researched and implemented LLM knowledge editing techniques to update large models efficiently without full retraining, improving adaptability and reducing computational costs. • Designed custom augmentation pipelines and benchmarking strategies to evaluate and optimize LLM editing outcomes across different data domains. • Developed and deployed multi-scale AI/ML solutions tailored for generative AI applications, ensuring high scalability and low latency for a diverse user base of researchers. • Leveraged Amazon SageMaker for end-to-end MLOps workflows including automated training, tuning, evaluation, and deployment of models. • Conducted comparative analysis of reasoning vs. non-reasoning LLM architectures, generating insights into performance trade-offs and inference optimization. • Led system change management, including LLM migrations, updates, and deprecation strategies, ensuring seamless transitions aligned with stakeholder goals.
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NSA Laboratory for Analytic Sciences (LAS) @ NCSU | Aug 2024 - Jan 2025

Full Stack AI Engineer

Contributed as a Full Stack AI Engineer in a national security-focused research initiative, integrating deep learning models and LLM pipelines into a dynamic web platform for visualizing internet routing integrity and organizational risk classification. • Spearheaded frontend and backend development using Angular, Spring Boot, and REST APIs, building responsive dashboards with real-time data visualizations. • Designed and implemented ETL/ELT pipelines for ingesting and processing large-scale ARIN and sector classification datasets. • Collaborated with the data engineering team to model, clean, and encode organizational metadata for downstream AI pipelines. • Developed and deployed LLM-based classification models to categorize organizations by CISA sectors, enhancing routing integrity analytics. • Built an interactive LLM-powered chat interface for querying internal data using RAG (Retrieval-Augmented Generation). • Established a scalable LLM workflow including data preprocessing, model training, fine-tuning, validation, and deployment using RayTune for hyperparameter optimization. • Integrated a custom vector database using PostgreSQL pgVector to enable semantically enriched RAG queries. • Authored comprehensive technical reports and presented research findings at the NSA-hosted conference on NCSU’s campus.

Corvid Technologies @ UNCP | Sep 2023 - Jan 2025

Deep Learning Research and Development Engineer

Worked as a Machine Learning R&D Engineer in a collaborative academic-industry research initiative focused on early detection of blood clot formation using deep learning applied to computational fluid dynamics (CFD) datasets. • Designed and implemented deep neural network (DNN) models using PyTorch for blood clot prediction, significantly improving detection accuracy. • Conducted hyperparameter tuning using Ray Tune, enhancing model performance through optimized training configurations in a scalable manner. • Developed and automated data preprocessing pipelines to encode and scale complex CFD datasets, improving generalization and training convergence. • Established a modular ML pipeline for data ingestion, training, validation, and evaluation, supporting reproducibility and long-term research scalability. • Led the transition from a local development environment to a cloud-orchestrated experimentation platform using AWS, streamlining collaboration and resource usage. • Built and maintained CI/CD pipelines for continuous experimentation, integrated with Jupyter Notebooks to support iterative model development. • Explored and implemented techniques for minimizing inference latency and model deployment time, improving real-time usability of the system. • Contributed to two peer-reviewed journal publications and delivered three oral presentations at academic and client-sponsored events. • Maintained rigorous version control of code, data, and experiments using Git, ensuring reproducibility and collaborative transparency.

Secjuice | Aug 2018 - Jun 2021

CyberSecurity Student Volunteer Editor

Worked as a Volunteer Jr Editor/ Author, wrote and edited Cybersecurity Articles related to different topics. Also engaged with multiple HackTheBox challenges and hackethons through their discord community relating to Network Penetration Testing and Web Application Penetration Testing

My Education

Take a look at my formal education

Bachelor's degree in Computer Science, Consentration in CybersecurityUniversity of North Carolina at Pembroke | 2025

About Me

Hozaifa Owaisi

I’m passionate about Software Development and Artificial Intelligence, driven by solving complex challenges. I thrive on problem-solving, learning new things, and embracing the complexity of machine learning, and distributed large scale development

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