OpenSource_Contributions

Merged Pull Requests

CrewAI

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• 📚 crewAI-tools Contributed arxiv_paper_tool: Developed a tool that enables CrewAI agents to search, retrieve, and summarize scientific papers from arXiv using the arXiv API. Supports specifying topics, keywords, or authors, and returns concise summaries with links for deeper reading—ideal for research-oriented autonomous agents.

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• 📚 crewAI-tools
  Contributed FileCompressorTool:
  Developed a utility tool for compressing files and directories into formats like .zip, .tar, .tar.gz, .tar.bz2, and .tar.xz using Python, designed to integrate smoothly with CrewAI agents.

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AgentOps-AI

• 🔧 agentops: Fixed compatibility issue with Numba by exposing print_logger at the module level in agentops.logging.instrument_logging, ensuring it can be resolved via getattr() without affecting existing logging behavior.

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Blog Posts:

• Master QR Code Creation and Customization with Python
• Building a Pneumonia Detection Model with Transfer Learning
• Parsing PDFs and Ingesting Data into Neo4j Using Python and Cypher
• Health Profile Analysis, Revealing Disorder Patterns, Medication Guidance and Risk Classification

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Communities

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CrewAI

• CrewAI Community Profile: Active contributor in the CrewAI community, sharing insights, tools, and support for developers building autonomous agent solutions.

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Academic and Hobby Projects

RAG_Receips--->>Simple RAG with llamaindex,OpenAI,Docling and Streamlit

This Repository is intended for enthusiasts who just want to explore various RAG combinations with emerging frameworks,vector dbs,etc Curreently Just one example is included,sooner or later you can expect more production ready implementations by handling possible edge cases in different domains,sectors.

Health Profile Analysis

This project analyzes individual health data—such as vitals, lifestyle habits, and lab results—to generate personalized health insights and recommendations. It empowers users,doctors and medical researchers to make informed wellness decisions through data-driven analysis.

Pneumonia Detection, Medical Records Management, and Automated Result Notification System

This project leverages deep learning to detect pneumonia from chest X-ray images while managing medical records efficiently. It also automates patient result notifications, improving healthcare workflows and reducing manual effort.

Tomato Leaf Disease Detection

This project uses computer vision and deep learning to detect diseases in tomato leaves from image data, helping farmers and agronomists quickly spot crop health issues. It streamlines early disease diagnosis for more effective plant care interventions.

Spam Email Detection

This project employs machine learning techniques to identify spam emails by analyzing text features and patterns. It enhances email management by automatically classifying messages and reducing unwanted interactions.

Global Superstore Power BI Dashboard

This Power BI dashboard delivers a comprehensive 360-degree sales performance overview from the Global Superstore dataset. It visualizes key metrics—like sales by region, category, and customer segments—to support data-driven decision-making with clear and interactive insights.

Global Superstore Loss Analysis Dashboard

This Power BI dashboard focuses on analyzing losses within the Global Superstore dataset, helping identify unprofitable products, regions, and categories. It provides insights into discount impact, cost inefficiencies, and areas for strategic improvement.

Design Analysis and Part Program Generation for Optimal Manufacturing

This project automates the generation of CNC part programs by analyzing design geometry and manufacturing constraints. It streamlines manufacturing workflows by generating optimized toolpaths and G-code directly from part designs.