AI Engineer with less than a year in Machine Learning, Deep Learning, and Full-Stack Development
AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science graduate with hands-on experience in machine learning, deep learning, computer vision, and full-stack development. Skilled in building Python-based ML pipelines, NLP systems, and data-driven applications. Experienced in delivering AI solutions and production-grade systems using Angular and Spring Boot.
Mar Baselios College of Engineering and Technology
B.Tech · Computer Science & Engineering
August 1, 2021 – June 30, 2025
Nissan Digital India LLP
Software Developer Intern - Full-Stack
July 1, 2024 – March 1, 2025
Thiruvananthapuram, Kerala, India
Trinity Software Technologies
Frontend Developer Intern
October 1, 2023 – November 1, 2023
Thiruvananthapuram, Kerala, India
WildFence - AI-Powered Wildlife Intrusion Detection System
June 18, 2026 – Present
• Built a real-time object detection system using YOLOv8 to identify wild animals near human settlements. • Integrated EfficientNet for multi-class image classification, reducing false-positive detection rates. • Developed a Flask REST API backend and responsive frontend with an automated alert mechanism for authorities.
AI Course Recommendation Engine
June 18, 2026 – Present
• Designed a content-based filtering recommendation engine using NLP and cosine similarity on a Kaggle Coursera dataset. • Performed data preprocessing, text normalization, and feature extraction to build and deploy the ML model. • Created an interactive web UI for real-time personalized course recommendations.
Cultural Fit Analysis
The candidate's academic projects (WildFence, AI Course Recommendation Engine) show a strong interest in applying AI to real-world problems and diverse domains. The internship experiences, while not exclusively AI-focused, demonstrate adaptability and a willingness to work across the stack. The blend of academic AI projects and full-stack development internships suggests a candidate who is versatile and eager to contribute to various aspects of a product, which can be a good cultural fit for dynamic teams. However, the experience level is entry-level, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate's project descriptions mention collaboration in cross-functional teams and delivering features within Agile/Scrum sprints, suggesting an understanding of modern development methodologies and teamwork. The academic projects demonstrate initiative and problem-solving skills. However, without specific psychometric or English test scores, a deeper assessment of communication clarity, logical reasoning, work attitude, and stress handling is not possible.