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AI Engineer with less than a year in Machine Learning & Python
Final-year Integrated M.Tech Computer Science student with strong proficiency in Python and hands-on experience in Machine Learning and AI application development. Developed AI-based solutions for Lung Cancer Detection and Deepfake Video Detection using TensorFlow and OpenCV. Currently working as a Software Development Instructor, strengthening Python programming, debugging, and communication skills while undergoing training in Generative AI and Large Language Models (LLMs). Passionate about building intelligent software solutions and solving real-world problems.
VIT-AP University
Integrated M.Tech · Computer Science and Engineering
August 1, 2021 – June 30, 2026
State Board
Intermediate
June 1, 2019 – May 31, 2021
CBSE
Class X
June 1, 2018 – May 31, 2019
Software Development Instructor (Trainee)
Software Development Instructor (Trainee)
May 1, 2026 – Present
India
Lung Cancer Detection using CNN and Vision Transformer
June 25, 2026 – Present
Developed an AI-powered application for detecting lung cancer from CT scan images. Implemented image preprocessing, model training, evaluation, and prediction pipeline. Improved model performance through preprocessing and optimization techniques. Achieved 92% accuracy with an F1-score of 0.89.
Deepfake Video Detection using CLIP and XceptionNet
June 25, 2026 – Present
Developed a deep learning application for detecting manipulated videos. Built a video processing pipeline including frame extraction, preprocessing, and prediction. Improved detection accuracy using optimized image processing techniques. Achieved 89% accuracy with an F1-score of 0.87.
Training in Generative AI and Large Language Models (LLMs)
Unknown
June 1, 2026 – Present
Salesforce Trailhead training covering CRM fundamentals, workflow automation, and business process management
Salesforce Trailhead
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a focus on impactful AI applications (healthcare, security), which aligns with a problem-solving and innovation-driven culture. Their current trainee instructor role indicates a willingness to learn and mentor. The breadth of skills (Python, ML, DL, Core CS) and ongoing training in Generative AI suggest adaptability and a proactive approach to skill development, which are positive indicators for cultural fit in a dynamic AI engineering environment.
Soft Skills & Operational Fit
The candidate demonstrates good communication and mentoring skills through their role as a Software Development Instructor. Their project descriptions indicate problem-solving and debugging abilities. The academic nature of projects suggests a structured approach to problem-solving. However, there is no explicit data on stress handling or team collaboration from the provided information.