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AI Engineer with less than a year in Python, Machine Learning & FastAPI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Final-year B.Tech student in CSE with hands-on experience in building AI-powered applications using Python, Machine Learning, and FastAPI. Skilled in developing intelligent systems, model deployment, and scalable AI solutions. Seeking an AI Engineer role to contribute to enterprise-grade AI systems and real-world intelligent automation solutions.
SVERIS College of Engineering, Pandhapur
B.Tech · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Webvarad Solutions
Internship
October 1, 2025 – Present
Mumbai, Maharashtra, India
RAG Based AI Teaching Assistant
June 18, 2026 – Present
Intelligent educational assistant that leverages Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) to provide accurate, context-aware responses from academic resources. The system processes educational documents, converts them into vector embeddings, stores them in a vector database, and retrieves relevant knowledge.
Onion crop Disease Prediction and Monitoring
June 18, 2026 – Present
Developed an AI-powered onion crop disease prediction and monitoring system using MobileNet-based deep learning models with TensorFlow and Keras for accurate disease classification from leaf images. Built an interactive React frontend and FastAPI backend to enable seamless image uploads, real-time disease prediction, and result visualization.
Concrete Strength Prediction using ML
June 18, 2026 – Present
Developed an ML-based concrete strength prediction model using XGBoost, achieving accurate strength estimation from concrete mixture parameters. Implemented data preprocessing, feature selection, and model training to optimize predictive performance. Built a scalable prediction workflow for real-time strength analysis and decision support.
The Ultimate Job Ready Datascience
Unknown
June 1, 2026 – Present
Python for ML
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in AI/ML applications across different domains (education, agriculture, civil engineering). The internship experience shows exposure to professional software development. The breadth of skills listed (programming, AI/ML, LLM, Dev Tools, Core Concepts) suggests a versatile individual. However, all projects are academic, and the internship is ongoing, indicating limited real-world industry experience. The target role of AI Engineer aligns well with the candidate's stated career objective and project focus.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex technical problems and integrate various technologies. Participation in project competitions and hackathons suggests a proactive and competitive attitude. However, without specific psychometric test results, a detailed assessment of logical reasoning, work attitude, stress handling, and team collaboration is not possible.