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AI Engineer with 1+ years in Computer Vision & Machine Learning
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI & Machine Learning Engineer specializing in Computer Vision with hands-on experience in solving real-world industrial problems. Experienced in building end-to-end pipelines including data collection, annotation, preprocessing, model training, and deployment. Worked on object detection, anomaly detection, and classification models for real-time railway inspection systems.
Sai Vidya Institute of Technology (VTU)
Bachelor of Engineering · Artificial Intelligence and Machine Learning
N/A – June 30, 2026
Nagarjuna Pre-University College
12th
N/A – Present
Seshadripuram School
10th
N/A – Present
L2M Rail (IISc Incubated Startup)
AI & ML Intern (Computer Vision)
June 1, 2025 – Present
Bengaluru, Karnataka, India
Male Baldness Detection and Classification
January 1, 2026 – Present
Developed a system using YOLO and CNN models to classify baldness patterns based on Hamilton-Norwood scale.
Criminal Detection in Public Spaces
January 1, 2026 – Present
Built a detection system using Haar Cascade and LBPH algorithms achieving 91% accuracy.
AI Powered Handwritten Answer Evaluation
January 1, 2026 – Present
Designed an OCR and NLP-based system for automated evaluation with 94% accuracy.
Data Science using Python
Infosys Springboard
June 1, 2026 – Present
Machine Learning with Python
Analogica
June 1, 2026 – Present
Programming in Java, SQL & Python
QSpiders
June 1, 2026 – Present
Data Structures & Algorithms
Infosys Springboard
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background in AI/ML, coupled with an internship focused on computer vision, aligns well with an AI Engineer role. The diversity of academic projects (baldness detection, criminal detection, answer evaluation) showcases a broad interest in applying AI to different domains. Participation in hackathons and achieving academic ranks indicates a competitive and driven personality, which can be a good cultural fit for innovative teams.
Soft Skills & Operational Fit
The candidate demonstrates a proactive attitude through participation in hackathons and technical quizzes. The internship experience at an IISc-incubated startup suggests an ability to work in dynamic, real-world problem-solving environments. The detailed descriptions of project contributions indicate good communication of technical work.