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AI Engineer with less than a year in Machine Learning, Deep Learning, NLP, and Computer Vision.
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI & Data Science undergraduate with hands-on experience in Machine Learning, Deep Learning, NLP, and Computer Vision projects. Strong interest in AI/ML engineering, data analysis, and intelligent automation systems.
Ilahia College of Engineering and Technology, Muvattupuzha
Bachelor of Technology · Artificial Intelligence and Data Science
August 1, 2022 – June 30, 2026
NEST Digital Academy
Data Science & Power BI Intern
June 1, 2026 – Present
India
IBM
AI & Cloud Intern
June 1, 2026 – Present
India
Smart Electricity Monitoring and Forecasting System for Middle-Class Households
January 1, 2026 – June 1, 2026
Developed an IoT-based smart electricity monitoring system for tracking household power consumption in real time. Built a web application to visualize electricity usage and generate consumption alerts. Implemented LSTM and ARIMA models for electricity consumption forecasting and anomaly detection.
View ProjectAI-Powered Lost and Found System for Airports
January 1, 2026 – June 1, 2026
Developed an AI-based airport lost-and-found system using image recognition and NLP techniques. Implemented MobileNetV2 for image feature extraction and Sentence Transformers for text similarity matching. Enabled real-time notifications for detected matches to reduce manual search effort.
View ProjectData Science for Engineers
NPTEL (IIT Madras)
June 1, 2026 – Present
Generative AI Literacy
FutureSkills Prime
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to applying AI to real-world problems (e.g., smart electricity, lost and found system). The internships at NEST Digital Academy and IBM, along with certifications, show a commitment to continuous learning and professional development, which aligns well with a growth-oriented culture. The diversity of projects and technologies used indicates adaptability and a broad interest in the AI domain.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate theoretical AI concepts into practical applications. Participation in programs like 'Young Innovators Program' suggests initiative and problem-solving orientation. However, without direct interview data, specific soft skills like teamwork, leadership, or communication in a professional setting cannot be fully assessed.