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AI Engineer with less than a year in Machine Learning & Deep Learning
As a Computer Science & Engineering student, I bring a passion for innovation and a strong foundation in software development, algorithms, and system design. I have a track record of successfully leading high-impact projects in sectors such as healthcare, agriculture, and infrastructure. With a solid technical background, I excel at developing transformative solutions and am committed to continuous learning. I am eager to contribute to the growth and success of forward-thinking organizations that prioritize innovation.
DAYANANDA SAGAR UNIVERSITY
Bachelor of Technology · Computer Science & Engineering
August 1, 2021 – June 30, 2025
NTR PU COLLEGE
Class 12th · Karnataka State Board
June 1, 2019 – May 31, 2021
ST DOMINIC'S SCHOOL
Class 10th · Council for the Indian School Certificate Examinations
June 1, 2018 – May 31, 2019
Hindustan Aeronautics Limited
Intern
July 1, 2024 – August 1, 2024
India
Bharat Intern
Software Intern
September 1, 2023 – December 1, 2023
India
Design And Development Of A System For Enhancing The Detection Of Suspicious Activities In Live CCTV Surveillance Using Deep Learning and IOT (Major Project)
June 28, 2026 – Present
A cutting-edge system leveraging deep learning and IoT to analyze live CCTV feeds for detecting suspicious activities in real time. It integrates advanced algorithms for behavioral analysis and IoT-enabled alerts to enhance security. The system aims to improve response times, particularly in rural areas, by providing actionable insights and notifications to authorities.
Online Bidding System Using MySql & PHP (Minor Project)
January 1, 2024 – Present
An online bidding system using MySQL and PHP allows users to participate in auctions by placing bids on products in real-time. PHP handles the back-end logic for user authentication, product listing, and bid processing, while MySQL stores essential data, such as user profiles, auction items, and bid history. The system tracks the highest bid for each item, updates in real-time, and determines the winner once the auction period ends, ensuring seamless, secure transactions.
Skin disease detection using CNN (Minor Project)
July 1, 2023 – Present
Skin disease detection using CNNs involves training a deep learning model on labeled skin images. The CNN extracts key features through convolutional layers, learns patterns, and classifies various skin conditions. With large datasets and techniques like transfer learning, CNNs achieve high accuracy in diagnosing skin diseases, aiding early detection.
Data Science
Internshala Trainings
June 1, 2026 – Present
Introduction to Tensorflow and Keras
Great Learning
June 1, 2026 – Present
Introduction to Supply Chain Planning and Scheduling
TCS ION
June 1, 2026 – Present
AWS Academy Graduate - AWS Academy Introduction to Cloud Semester 1
AWS Academy
June 1, 2026 – Present
AWS Academy Cloud Security Foundations
AWS Academy
June 1, 2026 – Present
Face Recognition in OpenCV
Great Learning
June 1, 2026 – Present
Video Analysis Using OpenCV
Infosys Springboard
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a diverse application of AI/ML in healthcare, infrastructure, and general software development, indicating a broad interest in applying technical skills to various domains. The internships, while brief, show exposure to software development and a large organization (HAL). The numerous certifications suggest a proactive and self-driven individual, which aligns well with a culture of continuous learning and development. However, the experience level is very junior, which might require significant mentorship in a senior-level role.
Soft Skills & Operational Fit
The candidate's professional summary highlights a passion for innovation, a commitment to continuous learning, and a desire to contribute to forward-thinking organizations. Project descriptions suggest an ability to work on high-impact solutions. However, the provided data is insufficient to assess specific soft skills like teamwork, problem-solving under pressure, or communication in a collaborative environment beyond what is stated in the resume.