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AI Engineer with less than a year in Machine Learning & Computer Vision.
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Highly motivated and results-driven individual pursuing a B.Tech in Computer Science & Engineering, specializing in AI and Machine Learning. Eager to apply strong problem-solving skills and a solid foundation in programming to real-world challenges. Proficient in Python, Java, and JavaScript, with hands-on experience in various machine learning algorithms, object detection, and data analysis projects. Committed to continuous learning and contributing effectively to innovative technical teams.
Reva University
B.Tech · Computer Science & Engineering
August 1, 2021 – June 30, 2025
Alma Mater The School
12TH
June 1, 2020 – May 31, 2021
Alma Mater The School
10TH
June 1, 2018 – May 31, 2019
Music Recommendation - Using Facial Recognition
January 1, 2025 – June 1, 2026
Using Python, CNN, And some important python library. Create a web application that captures a user's facial expressions through a webcam. Detected user emotions from captured images via a pre-trained Convolutional Neural Network (CNN) model, model, achieved a 35 percentage improvement in music recommendation accuracy,and a 20 percentage boost in user satisfaction.
View ProjectWEBEYE-AI
April 1, 2024 – June 1, 2026
Objective: WEB EYE AI project focuses on real time object detection, color identification and dimension estimation from the uploaded images or videos by the user. Features: Object tracking, Semantic segmentation, Multimodal analysis, opening new avenues for practical applications using tools Python, OpenCV, SSD, YOLO.
View ProjectMobile Price Prediction
October 1, 2023 – October 1, 2023
Mobile-Price-Prediction is a project aimed at predicting the price range of mobile phones based on their features and specifications. The project leverages machine learning techniques to analyze various attributes of mobile phones and classify them into different price categories. Implement machine learning algorithms such as Linear Regression, Decision Trees, Random Forest, Support Vector Machine (SVM), and Gradient Boosting. Use classification techniques to categorize mobile phones into different price ranges.
View ProjectEmployee-Database-Management-System
January 1, 2023 – January 1, 2023
Develop a robust system for managing employee data, including personal information, job details, payroll, and performance records. Develop a user-friendly web interface using technologies like HTML, CSS, JavaScript, and frameworks like React or Angular. Implement forms for data entry and dashboards for data visualization.
View ProjectNPTL - Data Analytics with Python
IIT Roorkee
May 1, 2025 – Present
Azure AI Fundamentals
Microsoft
December 1, 2024 – Present
Basic of Java
Hacker Rank
November 1, 2024 – Present
Full Stack Using Java
Wipro
October 1, 2024 – Present
Data Science Using Python
Prodigy InfoTech
July 1, 2024 – Present
Advanced Data Structure using C
Unknown
March 1, 2024 – Present
Introduction to Artificial Intelligence
Infosys
December 1, 2023 – Present
Exploratory Data Analysis for Machine Learning
IBM(Coursera)
November 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects show a strong inclination towards AI/ML, which aligns well with an AI Engineer role. The diversity of projects (computer vision, predictive modeling, recommendation systems) indicates a broad interest within AI. However, all projects are academic, and there is no professional experience to assess cultural fit in a corporate setting. The candidate is currently pursuing a B.Tech degree, suggesting a junior or entry-level profile.
Soft Skills & Operational Fit
The candidate lists 'Teamwork, Problem-Solving, Adaptability, Decision-Making' as interpersonal skills. While these are valuable, there is no practical experience or project context provided to validate these claims. The academic nature of all projects means there's no evidence of operational fit in a professional team environment.