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AI Engineer with less than a year in Machine Learning, Deep Learning, and Full-Stack Development
AI is analyzing your overall score…
Identifying your key strengths…
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.