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A programmer always ready to learn new things.
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Assessing your cultural and operational fit
aesthetic-agent-hub-ffaf6668
March 16, 2026 – Present
aesthetic-agent-hub-ffaf6668 — GitHub repository
View Projectai-agent-comparison
August 5, 2025 – August 5, 2025
A Python-based project comparing CrewAI, LangGraph, and AutoGen by implementing the same stock analysis workflow across all three. Each agent framework generates a BUY / SELL / HOLD recommendation with rationale—ideal for exploring multi-agent design patterns and orchestration styles.
View Projectquantumchat-groq-rag
June 27, 2025 – June 28, 2025
🚀 High-performance conversational AI with document intelligence - Built with GROQ, Streamlit & RAG technology 💬 Smart AI assistant combining GROQ's speed with RAG document analysis - Upload files, chat intelligently 🧠 Advanced chatbot with document understanding - GROQ-powered responses + vector search + multi-format support
View ProjectNeural-Network-From-Scratch
April 30, 2025 – April 30, 2025
This project demonstrates how to build and train a feedforward neural network from scratch using only NumPy, without any high-level deep learning libraries like TensorFlow or PyTorch. The model is trained on the MNIST digit classification dataset and achieves competitive accuracy.
View ProjectHousePricePrediction
January 8, 2024 – February 11, 2024
ML project on regression which predicts the prize of house on the house price prediction dataset using Random Forest Regressor algorithm.
View ProjectHMS-tkinter
October 5, 2023 – October 8, 2023
This is a project of Hospital Management System which I made using Tkinter in Python and used MySQL db to store the data. This I made as a project for My College containing very basic things.
View ProjectYouTube-Clone
July 26, 2023 – July 26, 2023
This is the basic YouTube Clone created using HTML and CSS only.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in learning and applying new technologies, particularly in the AI/ML domain. However, the lack of team projects or professional experience makes it difficult to fully assess cultural fit. The project diversity is good, but the alignment with a senior Data Scientist role is limited by the absence of complex, production-grade systems or significant data engineering/MLOps experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are functional but do not provide insight into collaboration, problem-solving approaches, or communication style.