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AI Engineer with 1+ years in Data Analysis, Machine Learning & Software Engineering.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
An enthusiastic and detail-oriented individual with a Bachelor of Engineering in Computer Science and Engineering, eager to apply strong technical skills in Data Analysis, Python, C++, Java, and SQL. Possessing a solid foundation in machine learning libraries like Pandas, Numpy, and Pytorch, with hands-on experience in developing AI-powered solutions for skin disease detection, body type classification, and hate speech detection. Committed to continuous learning and bringing critical thinking, adaptability, and teamwork to innovative software engineering projects.
Dayananda Sagar Academy of Technology and Management, Bengaluru
Bachelor of Engineering · Computer Science and Engineering
December 1, 2022 – June 1, 2026
Boston Public School, Agra, Bengaluru
Class XII
April 1, 2021 – March 1, 2022
St. George's college
Class X
March 1, 2019 – February 1, 2020
SuprMentr
Artificial Intelligence Internship
February 1, 2026 – Present
India
Personifwy
Data Analysis Internship
February 1, 2025 – June 1, 2025
India
Multi-Class Skin Disease Detection And Wound Detection Using CNN
August 1, 2025 – January 1, 2026
This project is a good example of a sound proof concept of a multi-modal, integrated AI platform that is planned to help people access early health analysis. The model we used is the YoloV8 (medium) which allows recognizing food items, environmental objects and skin conditions. Expand the platform capabilities and identify environmental objects and nutritional food analysis, to support a balanced perception of wellness.
Hate Speech Detection
April 1, 2025 – April 1, 2025
Developed a text classification model to detect hate speech and offensive content on social media using the Twitter.csv dataset. Implemented NLP techniques for data cleaning and feature extraction. Trained and evaluated models such as Logistic Regression and SVM to achieve high accuracy in text classification.
Heart Attack Prediction
March 1, 2025 – March 1, 2025
Built a predictive model using the Heart Failure Clinical Records dataset to identify patients at risk of heart attack. Applied data preprocessing and classification algorithms to analyze key health indicators and improve prediction accuracy.
Shapesense
January 1, 2025 – June 1, 2025
The project implements MediaPipe solution to classify body types while overcoming various challenges like body shapes, clothing and lighting conditions. For precise proportional analysis, MediaPipe's pre-trained models and pose estimation options are used to scan body landmarks.
Cultural Fit Analysis
The candidate's projects show a diverse interest in applying AI to real-world problems, including social media content moderation, health analysis (skin disease, heart attack prediction), and body type classification. This breadth of application suggests an open-minded and curious individual. However, the projects are primarily academic or early-stage professional, and the descriptions lack details on team collaboration or problem-solving approaches, making a deep cultural fit assessment challenging. The target role is AI Engineer, which aligns with the candidate's project focus.
Soft Skills & Operational Fit
The candidate lists adaptability, team collaboration, critical thinking, time management, and attention to detail as soft skills. While these are valuable, there is no assessment data or detailed project descriptions to validate their application in a professional setting. The candidate is currently pursuing a Bachelor's degree and has internship experience, indicating a foundational understanding of professional environments.