🤖 Junior Generative AI Engineer

🎓 B.Tech in Biotechnology | National Institute of Technology Rourkela

💻 Python • SQL • Data Analytics • NLP • Generative AI

🚀 Passionate about building AI-powered applications, intelligent data solutions, and real-world Generative AI systems.

• 🤖 Junior Generative AI Engineer passionate about building AI-powered applications using Python and Large Language Models.
• 💻 Experienced in Python, SQL, Data Analytics, NLP, and developing end-to-end AI applications.
• 📊 Interested in transforming raw data into intelligent, data-driven solutions through analytics and automation.
• 🧠 Built projects in Generative AI, Biomedical NLP, Computer Vision, Data Analytics, and Remote Sensing.
• 🌱 Currently exploring Retrieval-Augmented Generation (RAG), Prompt Engineering, and modern Generative AI workflows.
• 🚀 Always learning, building, and exploring new AI technologies.

A collection of AI, Machine Learning, Data Analytics, Computer Vision, and Intelligent Systems projects demonstrating practical applications across NLP, predictive analytics, geospatial analytics, and digital twin technologies.

Tech Stack

Python Streamlit Google Gemini AI PyMuPDF ReportLab

AI-powered application for analyzing biomedical research papers. Upload a research paper PDF to automatically generate structured summaries, assess research quality, identify key findings, detect research gaps, suggest future research directions, answer questions about the paper, and generate a downloadable analysis report.

Tech Stack

Python Pandas NumPy Power BI

End-to-end data analytics application involving data preprocessing, exploratory data analysis, visualization, and interactive Power BI dashboards for data-driven decision making.

Tech Stack

Python YOLOv8 OpenCV Gradio

Deep learning application for automated blood cell detection, classification, and counting using YOLOv8, OpenCV, and an interactive Gradio interface.

Tech Stack

Python Pandas NumPy Logistic Regression Power BI

Machine learning application for diabetes risk prediction using data preprocessing, exploratory analysis, Logistic Regression, and Power BI visualization to identify key clinical risk factors.

Tech Stack

Python QGIS Remote Sensing Sentinel-2 NDVI

Remote sensing application for climate stress assessment using Sentinel-2 satellite imagery, NDVI analysis, and QGIS to monitor vegetation health and environmental conditions.

Tech Stack

Python Streamlit Corrosion Analysis FESEM FTIR XRD

AI-powered digital twin application for magnesium implant evaluation using corrosion, wettability, adhesion, FESEM, FTIR, and XRD characterization data to support biomaterials analysis.

• LLM Applications
• Prompt Engineering
• AI-Powered Document Analysis
• Research Paper Analysis
• Google Gemini AI

• Exploratory Data Analysis
• Predictive Analytics
• Machine Learning
• Data Visualization
• Power BI Dashboards

• Object Detection
• Image Classification
• YOLOv8
• OpenCV
• Medical Image Analysis

• Remote Sensing
• Sentinel-2
• NDVI Analysis
• QGIS

• Streamlit Applications
• Scientific Data Visualization
• Biomaterials Analytics
• Digital Twin Applications

• Generative AI & Large Language Models (LLMs)
• Prompt Engineering & AI Workflows
• Intelligent Document Processing
• Retrieval-Augmented Generation (RAG)
• AI Agents & Agentic Systems
• Machine Learning & Data Analytics
• Computer Vision Applications

⭐ Passionate about building practical AI applications that solve real-world problems using Generative AI, Machine Learning, and Data Analytics.