AI Engineer with Deep Learning, Computer Vision, and LLMs.
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Assessing your cultural and operational fit
AI/ML Engineer with expertise in Deep Learning, Computer Vision, Large Language Models (LLMs), and Generative AI. Experienced in developing end-to-end AI applications including medical image classification systems, RAG-powered solutions, and LLM evaluation platforms. Skilled in TensorFlow, PyTorch, Hugging Face, LangChain, FastAPI, and Docker, with hands-on experience in model training, deployment, and AI system evaluation.
Bishop Heber College
Master of Science · Computer Science
August 1, 2024 – June 30, 2026
Bishop Heber College
Bachelor of Science · Computer Science
June 13, 2021 – April 16, 2024
Onco-AI – Multi-Cancer Detection System
January 1, 2026 – June 1, 2026
Developed an AI-powered medical image classification system for breast and oral cancer detection using TensorFlow and deep learning. Built and trained CNN-based models on 5,000+ annotated medical images, achieving ~93% classification accuracy. Implemented image preprocessing, feature extraction, and model evaluation using OpenCV, NumPy, and Scikit-learn. Developed a Flask-based web application with user authentication, image upload, and real-time cancer prediction. Containerized and deployed the application using Docker and integrated version control with Git/GitHub.
DualMind AI – Open Source vs Frontier AI Assistant Evaluation Platform
January 1, 2026 – June 1, 2026
Built an end-to-end AI evaluation platform comparing open-source and hosted large language models. Conducted benchmarking across hallucination, safety, bias, jailbreak robustness, and latency metrics. Integrated Hugging Face Transformers, Streamlit, and cloud deployment workflows. Automated evaluation reporting and visualized model performance through interactive dashboards. Demonstrated practical understanding of LLM deployment, optimization, and AI safety assessment.
Python
Guvi
June 1, 2026 – Present
Introduction to Data Science
Cisco
June 1, 2026 – Present
Introduction to Machine Learning
June 1, 2026 – Present
Artificial Intelligence Master Class
Novitech
June 1, 2026 – Present
Full Stack Development Master Class
Novitech
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest and initiative in cutting-edge AI fields, including medical AI and LLM evaluation. This aligns well with an innovative and research-driven culture. The breadth of skills and technologies used across projects suggests adaptability and a willingness to learn new tools. However, the lack of professional experience makes it challenging to fully assess cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, multi-faceted problems (e.g., medical image classification, LLM evaluation). The academic background and project work suggest a structured approach to problem-solving. However, without direct work experience or psychometric test results, it's difficult to assess stress handling, team collaboration, or specific communication styles in a professional setting.