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I am Arham Farooq Mohammed, a Master of Computer Science candidate specializing in Artificial Intelligence, currently pursuing my degree at the University of Ottawa. I have hands-on experience building OCR pipelines, RAG-powered chatbots, and computer vision models through internships at Aiden AI, GoWarm AI, and Digital Clinics Research and Services, delivering production-ready systems and measurable improvements in accuracy and efficiency. I enjoy turning complex AI challenges into scalable software solutions, from backend API development to cloud-native deployments using Docker, Kubernetes, and AWS. I am eager to apply my research and development experience to build impactful AI-driven products and collaborate with cross-disciplinary teams.…I am Arham Farooq Mohammed, a Master of Computer Science candidate specializing in Artificial Intelligence, currently pursuing my degree at the University of Ottawa. I have hands-on experience building OCR pipelines, RAG-powered chatbots, and computer vision models through internships at Aiden AI, GoWarm AI, and Digital Clinics Research and Services, delivering production-ready systems and measurable improvements in accuracy and efficiency. I enjoy turning complex AI challenges into scalable software solutions, from backend API development to cloud-native deployments using Docker, Kubernetes, and AWS. I am eager to apply my research and development experience to build impactful AI-driven products and collaborate with cross-disciplinary teams.

Arham Farooq Mohammed

AI Engineer, Full Stack Developer, Data Scientist, +2

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I am Arham Farooq Mohammed, a Master of Computer Science candidate specializing in Artificial Intelligence, currently pursuing my degree at the University of Ottawa. I have hands-on experience building OCR pipelines, RAG-powered chatbots, and computer vision models through internships at Aiden AI, GoWarm AI, and Digital Clinics Research and Services, delivering production-ready systems and measurable improvements in accuracy and efficiency. I enjoy turning complex AI challenges into scalable software solutions, from backend API development to cloud-native deployments using Docker, Kubernetes, and AWS. I am eager to apply my research and development experience to build impactful AI-driven products and collaborate with cross-disciplinary teams.…I am Arham Farooq Mohammed, a Master of Computer Science candidate specializing in Artificial Intelligence, currently pursuing my degree at the University of Ottawa. I have hands-on experience building OCR pipelines, RAG-powered chatbots, and computer vision models through internships at Aiden AI, GoWarm AI, and Digital Clinics Research and Services, delivering production-ready systems and measurable improvements in accuracy and efficiency. I enjoy turning complex AI challenges into scalable software solutions, from backend API development to cloud-native deployments using Docker, Kubernetes, and AWS. I am eager to apply my research and development experience to build impactful AI-driven products and collaborate with cross-disciplinary teams.

Available to hire

I am Arham Farooq Mohammed, a Master of Computer Science candidate specializing in Artificial Intelligence, currently pursuing my degree at the University of Ottawa. I have hands-on experience building OCR pipelines, RAG-powered chatbots, and computer vision models through internships at Aiden AI, GoWarm AI, and Digital Clinics Research and Services, delivering production-ready systems and measurable improvements in accuracy and efficiency.

I enjoy turning complex AI challenges into scalable software solutions, from backend API development to cloud-native deployments using Docker, Kubernetes, and AWS. I am eager to apply my research and development experience to build impactful AI-driven products and collaborate with cross-disciplinary teams.

Skills

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Expert

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Intermediate

Work Experience

AI-ML Intern at Aiden AI

July 1, 2025 - July 1, 2025

Developed end-to-end OCR pipelines and RAG-powered chatbots using FastAPI microservices, processing 15,000+ documents daily and reducing manual data extraction time by 65% with 94% accuracy in document parsing. Architected production-ready recommendation system with LLMs and vector databases, deploying via Docker and Kubernetes to serve 10,000+ daily queries with faster API response times and reduced container footprint.

Software Developer Intern at GoWarm AI

October 1, 2024 - October 1, 2024

Built 40+ backend APIs in Node.js and Python-based NLP models, achieving 90%+ lead prediction accuracy and reducing false positives below 10% through email sentiment analysis. Refactored legacy codebase and optimized queries, reducing API response times by 45% and improving reliability while implementing automated tests that decreased deployment bugs by 25%.

AI Research Intern at Digital Clinics Research and Services

August 1, 2024 - August 1, 2024

Implemented YOLOv5 and Detection Transformer models for breast cancer biomarker detection on ICPR-12 and MIDOG-22 datasets, achieving 0.96 mAP through data preprocessing of 25,000px whole slide images. Designed comprehensive WSI AI web platform with multi-zoom navigation and tile generation, collaborating with research teams to publish findings and integrate state-of-the-art detection methods.