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Entry-level AI Engineer with strong machine learning and deep learning fundamentals.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Recent B.Tech graduate in Computer Science with a specialization in Artificial Intelligence and Machine Learning. Strong in Python, SQL, and machine learning fundamentals with hands-on project experience. Quick learner with good problem-solving and teamwork skills, seeking an entry-level opportunity to apply technical knowledge in a growth-oriented organization.
SRM Institute of Science & Technology
Bachelor of Technology · Computer Science (AI&ML)
August 1, 2021 – June 30, 2025
Social Recommendation System Using Graph Neural Networks
September 1, 2024 – November 1, 2024
Developed a social recommendation system using Graph Neural Networks (GNN) to enhance personalization by modeling user interactions and social relationships. Implemented graph-based learning techniques using Python, NetworkX, and Pandas to analyze complex network structures and user behavior patterns. Designed and trained GNN models to capture user behavior patterns and improve recommendation accuracy. Achieved a 15% improvement in recommendation accuracy by leveraging GNN over traditional machine learning models.
Personalized Medicine Recommendation System
January 1, 2024 – April 1, 2024
Designed and implemented a personalized medicine recommendation system to analyze patient-reported symptoms and deliver data-driven health insights. Pre-processed and engineered features from clinical datasets to enhance model training efficiency and predictive performance. Built and optimized machine learning models for disease identification, generating personalized precautions, dietary plans, and workout recommendations. Achieved a 10% improvement in prediction accuracy through model optimization, hyperparameter tuning, and rigorous performance evaluation using Accuracy, Precision, and Recall metrics.
Machine Learning and Deep Learning- Fundamentals
Nptel
June 1, 2026 – Present
Computer Vision and Image Processing
Nptel
June 1, 2026 – Present
Networking Basics
Cisco
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects in social recommendation and personalized medicine show an interest in applying AI to real-world problems, indicating a proactive and problem-solving mindset. Their volunteer experience suggests leadership and coordination skills, which are valuable for team collaboration. The breadth of skills and project diversity, though academic, indicates a willingness to learn and adapt, which is positive for cultural fit in a growth-oriented organization.
Soft Skills & Operational Fit
The candidate demonstrates good problem-solving and teamwork skills through project descriptions and volunteer experience. Their academic projects show an ability to work with complex data and implement technical solutions. However, as a fresher, practical operational experience in a professional setting is currently limited.