Principal AI Solution Architect specializing in LLMs | LangChain | OpenAI API | GPT-4 | RAG | Building AI Solutions and custom AI Proof of Concepts | NLP
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Self-employed
Data Scientist
June 19, 2026 – Present
ollama_pdf_rag
February 4, 2025 – February 6, 2025
A powerful local RAG (Retrieval Augmented Generation) application that lets you chat with your PDF documents using Ollama and LangChain. This project includes both a Jupyter notebook for experimentation and a Streamlit web interface for easy interaction.
View ProjectPDF-Chatting-DeepSeek-R1
February 1, 2025 – February 1, 2025
The DeepSeek API and local Ollama LLM provide a powerful way to build AI chatbots that can process documents and answer queries efficiently
View ProjectMNIST-Handwritten-Digit-Classification
October 16, 2024 – October 16, 2024
Handwritten Digit Recognition using Machine Learning and Deep Learning
View ProjectSmoke-Detector-Classifier
October 15, 2024 – October 15, 2024
Welcome to the Intelligent Fire Alarm Classification System project
View ProjectBreast-Cancer-Survival-Prediction
October 9, 2024 – October 9, 2024
Breast-Cancer-Survival-Prediction — GitHub repository
View ProjectText-Summarization-NLP-Project
October 7, 2024 – October 7, 2024
Text-Summarization-NLP-Project — GitHub repository
View ProjectBranching-tutorial
October 3, 2024 – October 7, 2024
Branching-tutorial — GitHub repository
View ProjectChicken-Disease-Classification-Projects
October 2, 2024 – October 5, 2024
Chicken-Disease-Classification-Projects — GitHub repository
View ProjectNatural-Language-Processing-NLP-Tutorial-By-Bhupeshwar-Pathania
September 27, 2024 – September 27, 2024
NLP stands for Natural Language Processing. It is the branch of Artificial Intelligence that gives the ability to machine understand and process human languages. Human languages can be in the form of text or audio format.
View ProjectCultural Fit Analysis
The candidate's project portfolio is entirely composed of personal projects, which demonstrates initiative and self-learning. However, the lack of collaborative or professional project experience makes it difficult to assess cultural fit, teamwork, and adaptability within an organizational structure. The projects are diverse within the Data Science domain, but the absence of real-world application or team-based work limits the assessment of how they would integrate into a company culture.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience is listed as 'Self-employed' with no detailed responsibilities or team interactions.