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AI Engineer with less than a year in Machine Learning & Deep Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring AI Engineer currently pursuing a Bachelor of Technology in Artificial Intelligence and Machine Learning. Possesses hands-on experience in developing predictive models, deep learning for video classification, and building interactive web interfaces for disease prediction. Proficient in Python, PyTorch, and various machine learning libraries, with strong soft skills in leadership and problem-solving.
SRKR Engineering College
Bachelor of Technology · Artificial Intelligence And Machine Learning
October 1, 2022 – April 1, 2026
Black Bucks
Machine Learning Intern
June 1, 2024 – August 1, 2024
India
Disease Prediction Model
April 1, 2025 – April 1, 2025
Developed a machine learning model to predict diseases based on user-input symptoms. Built an interactive web interface to input symptoms and display probable diseases. Implemented data preprocessing, model training, and evaluation to ensure high prediction accuracy.
Deep Fake Detection Model
February 1, 2024 – February 1, 2024
Developed deep learning model using ResNet-50 and LSTM, achieving 84 percent accuracy in detecting deepfake videos from a dataset of 6,000 (3,000 real, 3,000 deepfake. Engineered an automated video classification system that accurately categorizes 100 percent of input videos as "FAKE" or "REAL," effectively detecting misinformation. Implemented and optimized LSTM and ResNet-50 models using Python. Leveraged Python3, JavaScript, and PyTorch frameworks within Google Colab and Jupyter Notebook environments, effectively streamlining development, testing, and debugging processes.
Introduction to Data Science with Python
HarvardX - edX
June 1, 2026 – Present
Java Programming Fundamentals
GalileoX - edX
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internship align well with an AI Engineer role, demonstrating a clear interest and foundational experience in the field. The diversity of projects (deepfake detection, disease prediction) and involvement in student clubs suggest a proactive and engaged individual. The listed soft skills and collaborative experience indicate a potential for positive cultural integration within a team-oriented environment. However, the experience level is very junior, which might require significant mentorship.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as Leadership, Event Management, and Public Speaking, indicating potential for good team collaboration and communication. Involvement in extracurricular activities like the Association of Computer Engineers Club and Google Developers Students Club suggests a proactive attitude and willingness to engage in community and project-based work. The internship experience shows collaboration and a results-oriented approach (e.g., enhancing model accuracy, deploying tools).