
AI Engineer with 1+ years in Data Science, VAPT, and Digital Marketing.
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Highly motivated and results-driven individual with a Master of Science in Information Technology and a Bachelor of Science in Information Technology. Possessing a solid foundation in data science, ethical hacking, and AI/ML development. Proven ability to extract and process data, conduct vulnerability assessments, and develop AI-powered solutions. Seeking to leverage technical skills and project experience in a challenging role.
Somaiya Vidyavihar University
MSc · Information Technology
August 1, 2024 – June 30, 2026
Sophia College for Women (Autonomous)
BSc · Information Technology
August 1, 2021 – June 30, 2024
HDFC Bank Ltd
Data Science Intern
February 1, 2026 – May 31, 2026
India
Elavait Software Solutions LLM
VAPT (Vulnerability Assessment & Penetration Testing) Intern
January 1, 2026 – March 31, 2026
India
Datagrid Solutions
Digital Marketing Intern
May 1, 2024 – July 31, 2024
India
Sophia College for Women
NAAC Documentation & Data Processing
April 1, 2023 – May 31, 2023
India
AI-Powered Mental Health Journal & ChatBot
December 1, 2025 – March 31, 2026
Developed a full-stack AI-powered mental health platform integrating mood tracking, AI-assisted journaling, conversational chatbot, and facial emotion detection. Implemented sentiment analysis using Groq LLaMA 3.1, enabling real-time emotion classification and generation of personalized supportive responses from journal entries. Built REST APIs and MongoDB database for journal storage and management. Implemented real-time facial emotion recognition using face-api.js for automated mood detection.
Emotion Detection System for Real-Time Facial Emotion Recognition
February 1, 2025 – March 31, 2025
Developed a Python-based computer vision system to detect emotions like happiness, anger, and sadness. Implemented real-time emotion recognition using OpenCV, TensorFlow, Keras, and NumPy with optimized preprocessing to improve model accuracy. Integrated real-time webcam streaming for continuous detection and live on-screen visualization. Achieved 92% accuracy with real-time detection under 0.2s per frame, performing effectively in real-world conditions.
Driver Drowsiness Detection System Using Machine Learning
December 1, 2023 – March 31, 2024
Built a Python-based system using Deep Learning (CNN) and OpenCV for detecting fatigue-related facial cues like prolonged eye closure and yawning. Extracted facial landmarks and eye state indicators using Dlib and OpenCV for accurate real-time tracking. Developed automated visual and audio alert mechanisms to warn drivers of drowsiness. Achieved 95% accuracy with a 15% reduction in false positives, ensuring reliable real-time performance.
Cryptocurrency Tracker
January 1, 2023 – March 31, 2023
Developed an Android application in Java to track and manage cryptocurrency market data. Integrated live API feeds for real-time price updates, charts, and portfolio tracking. Designed interactive UI/UX components to enhance user experience. Implemented backend logic for efficient data retrieval and display.
Cultural Fit Analysis
The candidate's academic projects show a strong interest in AI applications with social impact (mental health, driver safety), which aligns with a forward-thinking, impact-driven culture. The diversity of internships, from data science to VAPT and digital marketing, suggests an open-mindedness to different roles and a willingness to learn across domains. However, the VAPT and Digital Marketing roles are not directly aligned with an AI Engineer position, which might indicate a broader career exploration rather than a focused passion for AI engineering specifically. The candidate is currently pursuing a Master's degree, indicating a commitment to continuous learning and academic rigor.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and applying new technologies, as evidenced by diverse academic projects. Their internship experience, particularly in data science, shows an ability to handle data processing, validation, and workflow automation. While the VAPT and Digital Marketing internships are less directly relevant to an AI Engineer role, they indicate a breadth of exposure and adaptability. The candidate's project descriptions are clear and highlight measurable achievements, suggesting good communication skills in a technical context.