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AI Engineer with less than a year in AI & Machine Learning and Computer Vision
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Software Engineer with a B.Tech in Artificial Intelligence & Machine Learning and hands-on experience building and leading machine learning projects, including real-time driver safety systems and network intrusion detection tools. Proficient in Python and SQL, with practical experience applying Convolutional Neural Networks (CNN) to computer vision problems. Looking to bring strong technical skills, team leadership, and a problem-solving mindset to a software engineering role.
Malla Reddy University
B.Tech · Artificial Intelligence & Machine Learning (AIML)
August 1, 2020 – June 30, 2024
Sri Chaitanya College
Intermediate · MPC
June 1, 2018 – May 31, 2020
Sri Chaitanya Techno School
SSC
June 1, 2018 – May 31, 2018
Smart Alert System for Drivers via Traffic Sign Recognition
January 1, 2020 – January 1, 2024
Designed and trained a Convolutional Neural Network (CNN) to detect and classify traffic signs in real time from live video feeds and images. Built the end-to-end pipeline covering data collection, model training, and real-time deployment to alert drivers to critical road signs and hazards, improving road safety.
Driver Drowsiness Detection System
January 1, 2020 – January 1, 2024
Led a 4-member team to design a machine learning-based system that detects signs of driver drowsiness in real time. Applied computer vision techniques to monitor driver alertness and trigger timely alerts, aiming to reduce accidents caused by driver fatigue.
Internet Traffic Intrusion Detection System
January 1, 2020 – January 1, 2024
Led a 4-member team to develop a network monitoring tool that analyzes internet traffic across a network in real time. Built the system as a primary defense mechanism to identify and flag network intrusions and other cyberattacks on computer systems.
Certificate of Internship in Machine Learning using Python
Campalin Innovations
June 1, 2026 – Present
AWS Certificate in Machine Learning
Unknown
June 1, 2026 – Present
NPTEL Certification in Deep Learning (Elite Certification)
NPTEL
June 1, 2026 – Present
AWS Certificate in Cloud Computing
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a strong interest in AI/ML applications, particularly in safety and security domains, which aligns well with an AI Engineer role. The diversity of projects (computer vision for traffic signs, drowsiness detection, network intrusion detection) indicates a broad interest within AI. However, all experience is academic, and there is no information on collaboration styles or adaptability in a professional team environment.
Soft Skills & Operational Fit
The candidate demonstrates leadership potential through team-led academic projects. The focus on real-time systems and problem-solving aligns with operational needs. However, without professional experience or psychometric test results, it's difficult to fully assess work attitude, stress handling, and team collaboration in a professional setting.