AI/ML Engineer Resume – Computer Vision- Deep Learning- Python-  OpenCV-  TensorFlow-Flask

AI/ML Engineer Resume – Computer Vision- Deep Learning- Python-  OpenCV-  TensorFlow-Flask

An enthusiastic AI/ML student skilled in Python, computer vision (OpenCV, DeepFace), data analysis (Pandas, Excel), and databases (SQLite/MySQL). Passionate about building intelligent, data-driven applications and eager to apply skills in scalable AI solutions. Dedicated to continuous learning and contributing to innovative real-world projects.

Professional Skills:

Programming Languages:

• Python, C, SQL, HTML, CSS

Technologies:

• Data Science, Web Development, Data Visualization, TensorFlow, UI/UX, Flask

Internship Experience:

Frontend Developer – Tech Company

• Gained hands-on experience in frontend development with HTML, CSS, JavaScript, and MongoDB

• Built an AI-powered interview analysis tool using Python, speech recognition, and LLM APIs, exploring LLM integration and cloud server deployment

Key Projects:

Project 1: Deep Learning-Based Video Authenticity Check (Deepfake Detection)

• Developed a deepfake detection system using a hybrid model architecture for artifact, temporal, and residual feature analysis

• Achieved approximately 85% accuracy across multiple benchmark datasets with strong robustness to unseen deepfake formats

• Tech Stack: Python, OpenCV, PyTorch, face_recognition, Streamlit

Project 2: Virtual Drawing using Hand Gestures (Air Canvas)

• Developed a virtual canvas using real-time hand gesture recognition

• Enabled touchless drawing by tracking hand landmarks and mapping finger movements to on-screen strokes

• Tech Stack: Python, OpenCV, MediaPipe

Project 3: Deepfake Image Detection

• Built a deepfake detection model using residual analysis and self-blending to train CNNs for identifying real vs. fake media

• Focused on adaptability to evolving deepfake formats for robust detection

• Tech Stack: Python, OpenCV, TensorFlow, CNN, Streamlit

Certifications and Workshops:

• Team Lead Delegate – Bengaluru Tech Summit

• AI & DS in Healthcare Workshop

• 2nd Place in Web Dash Competition

• Python Developer Certification (Udemy)

• Automation Starter Certification (UiPath)

• Technovanza Participation

• Build Your Own Generative AI Model Workshop (NxtWave)

• Digital Head of Department of AIML

Education:

• Bachelor of Engineering in Computer Science & Engineering (AI/ML Specialization) – CGPA: 8.5

• 12th Grade (PCMB) – 92.16%

Ideal For:

• Full-time AI/ML Engineer / Data Scientist roles

• Computer vision and deep learning projects

• Deepfake detection and video authenticity

• Generative AI and LLM integration

• Remote or Mangalore/Karnataka-based opportunities

• Important Notice : Candidate personal contact details including name, phone number, and email address are hidden for privacy and security reasons. Resume is strictly intended for legal hiring and recruitment purposes only. Any misuse, fraud, spam, illegal activity, or unauthorized distribution is strictly prohibited. Digital product only. No physical item will be shipped.