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AI Engineer with 2+ years in Deep Learning & LLMs
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
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
August 1, 2021 – June 30, 2024
Bishop Heber College
HSC
June 1, 2020 – May 31, 2021
Bishop Heber College
SSLC
June 1, 2018 – May 31, 2019
Onco-AI – Multi-Cancer Detection System
June 1, 2024 – 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
June 1, 2024 – 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 projects demonstrate a strong interest and practical application in AI/ML, aligning well with an AI Engineer role. The diversity of projects (medical imaging, LLM evaluation) shows adaptability and a broad understanding of AI applications. The pursuit of multiple certifications and a Master's degree indicates a commitment to continuous learning and professional development, which is a positive cultural fit indicator. However, the lack of professional work experience means there's no direct evidence of collaboration within a team or corporate environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on end-to-end solutions, from model development to deployment. The hackathon achievement suggests problem-solving skills and a competitive drive. However, without specific behavioral assessment data, it's difficult to fully evaluate soft skills like teamwork, communication, or stress handling.