Software Engineer with less than a year in Machine Learning & AI
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Aspiring Software Engineer with strong skills in Python, Java, Web Development, Database Management, and hands-on experience in Machine Learning, Full Stack Development, and Data Analysis. Passionate about building scalable, data-driven applications and leveraging AI/ML, Generative AI, and Prompt Engineering to solve real-world problems.
Beary's Institute of Technology
Bachelor of Engineering · Computer Science Engineering
August 1, 2022 – June 30, 2026
Aacharya Institute of Management & Science
PUC · PCMB
June 1, 2021 – May 31, 2022
Shushruthi Vidhya Samsthe
SSLC
June 1, 2019 – May 31, 2020
Inventeron Technologies
Machine Learning Intern
January 1, 2026 – May 1, 2026
India
iStudio
Artificial Intelligence Intern
October 1, 2025 – March 1, 2026
India
Teachnook
Machine Learning Intern
December 1, 2023 – January 1, 2024
India
Face Recognition Attendance System
June 24, 2026 – Present
Built an automated attendance system using face recognition to enable accurate and contactless tracking. Implemented real-time facial detection and identification using computer vision techniques. Designed a structured pipeline for image processing, data storage, and attendance management.
View ProjectDriver Drowsiness Detection System
June 24, 2026 – Present
Designed a real-time monitoring system to detect driver fatigue using facial landmark analysis. Implemented computer vision techniques to track eye movement and trigger alerts for safety. Built a responsive alert mechanism to prevent accidents caused by driver drowsiness.
View ProjectOmniDetect AI
June 24, 2026 – Present
Built a comprehensive AI-driven detection system capable of recognizing and analyzing various objects and scenarios through advanced computer vision algorithms. Developed real-time detection and classification workflows by integrating deep learning models with image processing techniques. Optimized model performance and system scalability to support intelligent monitoring, automation, and decision-making applications.
View ProjectBrain Tumor Detection System (BrainScan AI)
June 24, 2026 – Present
Developed a deep learning-based model to classify medical images and detect brain tumors with high accuracy. Implemented end-to-end pipeline including image preprocessing, feature extraction, and model evaluation. Applied computer vision techniques to analyze complex medical image data for diagnostic support.
View ProjectCultural Fit Analysis
The candidate's projects are diverse within the AI/ML and Computer Vision domain, showcasing a proactive learning approach. The target role of 'Software Engineer' is broad, but the candidate's focus on AI/ML suggests a strong fit for roles within that specialization. The breadth of skills listed (Web Development, Database Management) indicates a willingness to explore different areas, which can be beneficial for cross-functional teams. However, the experience level is 0, indicating a fresh graduate profile, which might require more mentorship and ramp-up time in a senior-level environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex problems and design end-to-end solutions. The internship experiences suggest a capacity for structured learning and applying theoretical knowledge to practical tasks. However, without psychometric or English test scores, it's difficult to assess logical reasoning, work attitude, stress handling, or team collaboration directly.