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AI Engineer with less than a year in Machine Learning & NLP
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 machine learning, NLP, and model deployment. Skilled in building real-world AI solutions using Python and modern frameworks, seeking an opportunity to contribute and grow in a dynamic organization.
Gujarat Technological Univercity
B.Tech · Computer Engineering
August 1, 2022 – June 30, 2026
Maxgen Technologies
AI/ML developer
September 1, 2025 – Present
India
AI Chatbot using NLP & Transformers
June 24, 2026 – Present
• Developed an intelligent chatbot for customer support and FAQ automation • Implemented transformer-based models (BERT/GPT) for accurate intent recognition and response generation • Applied NLP techniques such as text preprocessing and vectorization • Integrated sentiment analysis to understand user emotions and improve responses • Designed a simple user interface using Streamlit and deployed backend using Flask
Heart Guard AI Heart Disease Prediction
June 24, 2026 – Present
Predicted heart disease risk using patient clinical data, achieving 94%+ model accuracy • Evaluated multiple models (Logistic Regression, Decision Tree, Random Forest) and selected the best-performing algorithm • Performed exploratory data analysis (EDA) and feature engineering on the UCI Heart Disease dataset • Deployed the final model as a REST API using Fast API for real-time prediction
Cultural Fit Analysis
The candidate's projects demonstrate a focus on practical AI applications (chatbot, heart disease prediction), which aligns with an AI Engineer role. The breadth of skills covers various aspects of the AI/ML lifecycle, from data analysis to model deployment. However, the experience level is very junior (starting September 2025, which is in the future relative to the current date), and the projects are personal, which might indicate a need for more experience in collaborative, production-grade environments. The education is also ongoing, which suggests a foundational rather than senior-level cultural fit.
Soft Skills & Operational Fit
The candidate's resume indicates a proactive approach to learning and applying AI/ML concepts through personal projects. The descriptions suggest an ability to work independently on technical tasks. However, without specific psychometric or English test results, it is difficult to assess communication clarity, work attitude, stress handling, or team collaboration skills.