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AI Engineer with 1+ years in Python & Deep Learning
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Assessing your cultural and operational fit
Aspiring technology professional with hands-on experience in Software Development, Artificial Intelligence, Machine Learning, Full Stack Development, and Data Analytics gained through 5 internships and 20+ projects. Proficient in building scalable applications, intelligent systems, and data-driven solutions using Python, AI/ML, NLP, DL, and modern development tools. Passionate about leveraging technology, analytical thinking, and problem-solving skills to develop innovative solutions that create real-world impact.
BIT, VTU
B.E · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Inventeron Technologies
Trainee Machine Learning Engineer
February 1, 2026 – May 31, 2026
India
iStudio
Amazon Web Services
September 1, 2025 – March 31, 2026
India
1Stop
Full Stack Development
July 1, 2025 – September 30, 2025
India
Yhills
Machine Learning with Python
December 1, 2024 – February 28, 2025
India
Coincent
Artificial Intelligence with Python
April 1, 2024 – May 31, 2024
India
OmniDetect AI
June 1, 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 ProjectFace Recognition Based Attendance System
June 1, 2026 – Present
Developed an automated attendance management system using face recognition and computer vision techniques. Implemented real-time facial detection, identification, and attendance recording with efficient data storage and retrieval. Designed a structured software workflow integrating image processing, database management, and user-friendly operation.
View ProjectBrainScan AI – Brain Tumor Detection System
June 1, 2026 – Present
Developed a deep learning-based CNN model to classify MRI scans as tumorous or healthy, supporting AI-assisted medical diagnosis. Built a comprehensive image preprocessing pipeline including normalization, augmentation, and feature extraction to improve model performance. Deployed the trained model through a Flask web interface for real-time prediction and confidence-based diagnostic support.
View ProjectInteractive AgriTrade
June 1, 2026 – Present
Developed a full-stack digital auction platform connecting farmers directly with buyers, improving transparency and reducing intermediary dependency. Integrated FastAPI microservices with multilingual NLP capabilities for real-time Hindi and Kannada text processing and language detection. Implemented secure authentication, database operations, PHPMailer notifications, and optimized MySQL queries for reliable performance.
View ProjectPython
Infosys
June 1, 2026 – Present
Advanced Prompt Engineering
Simplilearn
June 1, 2026 – Present
Generative AI for Beginners
Simplilearn
June 1, 2026 – Present
CyberSmart
CySeck
June 1, 2026 – Present
Computer Fundamentals
NBCE
June 1, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong interest in AI/ML and full-stack development, aligning with roles requiring innovation and technical breadth. The diversity of academic projects (computer vision, NLP, medical AI, e-commerce) suggests adaptability and a willingness to explore different problem domains. The internships, though short-term, show initiative in gaining practical experience across various technical areas. This indicates a potential good fit for a dynamic, tech-driven environment.
Soft Skills & Operational Fit
The candidate's resume indicates a proactive approach to learning and skill development through numerous internships and academic projects. The descriptions suggest an ability to work on complex technical problems and integrate various technologies. However, without direct interview data, it's difficult to assess specific soft skills like teamwork, problem-solving under pressure, or communication clarity in a collaborative setting.