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AI/ML Engineer with less than a year in Machine Learning, Deep Learning & Cloud.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring AI/ML Developer with hands-on experience in building end-to-end Machine Learning and Deep Learning projects. Skilled in Python, model training, evaluation, deployment, and basic MLOps practices. Familiar with NLP, Transformers, and Retrieval-Augmented Generation (RAG). Passionate about solving real-world problems using data-driven and AI-powered solutions.
Saffrony Institute of Technology, Gujarat Technological University(GTU)
Bachelor of Engineering · Computer Engineering
August 1, 2022 – June 30, 2026
BrainyBeam Info-Tech Pvt. Ltd.
Data Science & Machine Learning Intern
January 1, 2026 – Present
India
CreArt Solution Pvt. Ltd.
Data Analytics Intern
July 1, 2025 – August 1, 2025
India
Movie Recommendation System
June 24, 2026 – Present
Implemented a hybrid recommendation system combining collaborative and content-based filtering techniques to provide personalized movie suggestions based on user preferences.
Potato Disease Prediction
June 24, 2026 – Present
Developed a deep learning model using CNN to detect and classify potato leaf diseases from images. The model helps in early disease detection, assisting farmers in taking preventive measures.
Vehicle Insurance Prediction System
June 24, 2026 – Present
Developed an end-to-end machine learning pipeline to predict customer vehicle insurance purchase behavior. Containerized the application using Docker and deployed on AWS using S3, ECR, and EC2 services.
Car Price Prediction System
June 24, 2026 – Present
Built an end-to-end ML app using scikit-learn and Flask to predict car prices. Used Docker and GitHub Actions for CI/CD and deployed it on Render.
Complete Data Science, ML, DL & NLP Bootcamp
Krish Naik
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from recommendation systems to disease prediction and insurance prediction, indicates a broad interest in applying AI/ML to various domains. Their engagement in personal projects and continuous learning through certifications suggests a self-starter mentality. The focus on end-to-end solutions and MLOps aligns well with a culture that values practical application and deployment. However, the limited professional experience (internships only) means their ability to navigate complex team dynamics and corporate environments is yet to be fully demonstrated.
Soft Skills & Operational Fit
The candidate demonstrates a proactive attitude towards learning and applying new technologies, as seen in their diverse personal projects and certifications. Their internship experience shows an ability to perform data cleaning, model development, and visualization, indicating good operational fit for data-driven roles. The documentation of project workflows suggests an understanding of collaborative practices.