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Intrapreneur
AI Solutions Engineer
June 12, 2026 – Present
Sentinel-AI
February 5, 2026 – Present
A Python‐based incident detection engine that analyzes video feeds for motion, detects objects, and uses large language models (LLMs) to generate semantic descriptions of incidents. Designed for extensibility with custom detectors and processors.
View ProjectKnowledge-Dungeon
April 12, 2025 – Present
Knowledge Dungeon is a Streamlit-based quiz adventure where LLM agents generate and check questions, track progress, and guide players through levels.
View ProjectAgentic-Systems
November 24, 2024 – Present
A go-to repository for building web search agents and multi-agent systems using LangChain, LangGraph, Phidata/Agno, Pydantic, and CrewAI. It includes a multi-agent email response agent, LLaMA OCR, and a multi-agent travel planner, enabling autonomous and intelligent workflows. 🚀
View ProjectTime_Table_Generator
November 8, 2024 – March 2, 2025
uni time table generator with django a full stack framework
View Projectrecommeder-system
October 10, 2024 – October 11, 2024
recommeder-system — GitHub repository
View ProjectMultiple-RAG-Systems
September 27, 2024 – Present
A comprehensive library for Retrieval-Augmented Generation (RAG), featuring both basic and advanced RAG implementations. Built with LangChain for sophisticated RAG pipelines and LlamaIndex for a lightweight, simple RAG setup. Ideal for developers exploring knowledge retrieval and augmentation with LLMs. 🚀
View ProjectPlant-Disease-Detection
September 22, 2024 – September 23, 2024
This app helps detect and diagnose plant diseases using advanced image recognition and deep learning models like MobileNetV2. By analyzing plant photos, it provides accurate disease identification and timely insights for farmers and gardeners.
View ProjectMachine-Learning-Algorithms-From-Scratch
April 2, 2024 – January 3, 2025
Machine-Learning-Algorithms-From-Scratch — GitHub repository
View ProjectMultiple-Domain-Prices-Estimator
February 28, 2024 – May 25, 2024
A prices estimator comprising of various items using machine learning
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong interest and initiative in exploring diverse AI/ML applications, from multi-agent systems to image recognition and RAG. This aligns well with a culture that values innovation and continuous learning. However, the lack of team-based projects or professional experience details makes it difficult to fully assess collaboration and broader cultural fit. The current role as 'Intrapreneur' suggests an independent work style, which may need further exploration for team-oriented roles.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a proactive approach to learning and applying new technologies, which is positive for operational fit in an innovative environment.