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AI Engineer with 1+ years in Machine Learning, Deep Learning & LLMs.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven BCA graduate with a strong foundation in Machine Learning and Deep Learning. Hands-on experience building end-to-end ML pipelines, including data preprocessing, model training, and deployment. Skilled in LSTM-based time series forecasting and familiar with LLMs and RAG systems. Proficient in Python, TensorFlow/Keras, Pandas, and Streamlit for developing AI applications. Experienced in SQL and data analysis, with the ability to derive actionable insights. Motivated to apply AI technologies to solve real-world problems and build scalable solutions.
Prerna Collage, Nagpur
Bachelor of Computer Application
August 1, 2023 – June 30, 2025
MediWise - AI Medical Assistant
June 1, 2025 – June 1, 2026
Built an AI-powered healthcare assistant using LLMs + RAG (Retrieval-Augmented Generation) for context-aware medical insights. Developed real-time Q&A system leveraging a medical knowledge base for improved accuracy. Implemented scalable architecture with Python, Streamlit, LangChain, and Vector DB. Enabled dynamic model handling and prompt tuning for optimized responses. Designed an interactive UI for seamless user experience.
Deep Learning Stock Price Predictor (LSTM)
June 1, 2025 – June 1, 2026
Developed an end-to-end stock prediction system using LSTM (TensorFlow/Keras) for time series forecasting. Integrated real-time stock data via yfinance and built a full ML pipeline (data preprocessing → training → prediction). Visualized actual vs predicted prices and generated future forecasts with performance metrics (RMSE, MAE, R²). Designed an interactive web app using Streamlit with configurable model parameters. Utilized Python, NumPy, Pandas, Matplotlib for data processing and visualization.
AI/ML Project Development
June 1, 2025 – June 1, 2026
Built and deployed AI-powered applications using Machine Learning & Deep Learning techniques. Executed end-to-end pipeline: data preprocessing, model training, evaluation, and deployment. Applied real-world problem-solving using Python, Pandas, NumPy, TensorFlow/Keras, Streamlit. Developed interactive interfaces and scalable solutions for practical use cases.
Masters in Data Science and Analytics with AI
IT Vedant Education Pvt. Ltd.
June 1, 2026 – Present
Graphic Designing
Unknown
June 1, 2026 – Present
Data Analysis with Python
IBM
June 1, 2026 – Present
Python 101 for Data Science
IBM
June 1, 2026 – Present
Machine Learning with Python
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects show a strong interest in applying AI to practical problems (e.g., medical assistant, stock prediction), which aligns well with an innovative and results-oriented culture. The breadth of skills across different AI domains (LLMs, RAG, LSTM, general ML/DL) indicates a willingness to learn and adapt. However, the lack of professional experience and team-based projects makes it difficult to fully assess cultural fit regarding collaboration and workplace dynamics.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving skills and a motivation to apply AI technologies to solve real-world problems and build scalable solutions, as evidenced by project descriptions. The resume highlights experience in data storytelling and A/B testing, which are valuable for operational fit. However, without direct work experience, the practical application of these soft skills in a team or professional setting is not yet demonstrated.