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AI Engineer with less than a year in Machine Learning, Generative AI & RAG.
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Passionate and detail-oriented AI & Data Science enthusiast with hands-on experience in Machine Learning, Generative AI, Agentic AI, RAG-based chatbot development, and FastAPI. Skilled in building intelligent, scalable, and data-driven applications using Python, TensorFlow, Scikit-learn, and modern AI technologies. Strong problem-solving abilities with a passion for developing innovative AI solutions and continuously learning emerging technologies.
P. R. Pote College Of Engineering And Management
Bachelor of Engineering · Computer Science and Engineering
August 1, 2021 – June 30, 2025
Shri Shivaji Science College
Higher Secondary Certificate
June 1, 2020 – May 31, 2021
Pragati Vidhyalya
Secondary School Certificate
June 1, 2018 – May 31, 2019
Marworx Technology Pvt. Ltd.
AI/ML Engineer Intern
March 1, 2026 – Present
Pune, Maharashtra, India
Apple Stock Price Prediction
January 1, 2026 – January 1, 2026
Built an end-to-end Apple stock price forecasting system using historical data (2012-2019) from Yahoo Finance. Performed data preprocessing, EDA, volatility analysis, seasonality decomposition, and ADF stationarity testing. Implemented and compared ARIMA, SARIMA, LSTM, and XGBoost models for time-series forecasting. Evaluated models using RMSE, MAE, MSE, and RZ, selecting XGBoost for best generalization. Achieved RZ score of 0.83, demonstrating strong predictive accuracy on unseen data. Forecasted next 90 trading days of Apple stock prices. Deployed the trained model as an interactive Streamlit web application with graphical and tabular outputs.
View ProjectStudent Stress Level Analysis
November 1, 2025 – November 1, 2025
Developed a supervised machine learning model to predict student stress levels (Low/Medium/High) based on academic, lifestyle, and personal factors. Executed data preprocessing, feature engineering, and exploratory data analysis (EDA) to uncover key stress determinants. Trained and optimized models including Random Forest, Decision Tree, and Logistic Regression, achieving an accuracy of approximately 95%. Performed feature importance analysis to identify major contributors such as sleep hours & academic pressure. Deployed an interactive Streamlit web application enabling real-time stress level prediction from user inputs.
View ProjectData Science Internship
Aivariant
June 1, 2026 – Present
Data Analytics & Visulization
Accenture North America (Forage)
June 1, 2026 – Present
AWS Academy Cloud Architecting
AWS
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including time-series forecasting, classification, and generative AI applications, indicates a broad interest and adaptability, which aligns well with an innovative culture. Their involvement in an internship focused on real-time AI and Generative AI projects, coupled with personal initiatives, suggests a strong drive and a willingness to contribute to cutting-edge areas. The breadth of skills listed, from core ML to modern GenAI tools, shows a commitment to staying current and a potential for cross-functional collaboration. The candidate's current internship is directly aligned with the target role of an AI Engineer, indicating a clear career path and motivation.
Soft Skills & Operational Fit
The candidate demonstrates a proactive and detail-oriented approach, as evidenced by the comprehensive descriptions of their projects and the variety of techniques applied. Their passion for continuous learning is highlighted by their engagement with emerging AI technologies and certifications. The ability to work on end-to-end development lifecycles, from data preparation to deployment, suggests good operational fit for a dynamic AI engineering role. However, without direct assessment data on communication, logical reasoning, or teamwork, these aspects remain unvalidated.