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🚀 Aspiring Machine Learning & AI Developer 🤖
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Assessing your cultural and operational fit
FMCG-Sales-Data-Pipeline-with-Incremental-Processing
May 2, 2026 – Present
Built an incremental data pipeline on Databricks for FMCG order analytics using Spark and Delta Lake. Used a medallion architecture to clean and process data, with merge-based updates for efficient incremental loading. Designed a monthly recalculation approach to update only affected data and combined multi-source data into an analytics ready model
View ProjectSysWatch-AI
April 21, 2026 – Present
a multi-agent AI intelligence layer for a server monitoring platform that analyzes logs, metrics, and incident data. It uses a Supervisor-driven architecture to route requests to specialized agents for diagnosis, prediction, and system health analysis. Built with LangGraph and LangChain, it ensures efficient execution with minimal and targeted LLM
View ProjectRail-Rakshak-jetson-Nano
February 13, 2026 – Present
Rail-Rakshak-jetson-Nano — GitHub repository
View ProjectAutoBlogX
August 28, 2025 – August 30, 2025
AutoBlogX is an AI-powered API for automated blog generation with FastAPI and LangGraph. It supports English, Hindi, and French, outputs in Markdown, and runs seamlessly on LangGraph Studio.
View ProjectAgentic-Chatbot
July 25, 2025 – August 30, 2025
Agentic Chatbot is an agentic framework that uses LLMs and graph-based processing to power interactive, use-case-driven workflows through a simple Streamlit interface.
View ProjectCultural Fit Analysis
The candidate demonstrates a strong interest in AI and machine learning through a diverse set of personal projects, including agentic AI systems, data pipelines, and edge AI. This aligns well with an 'AI Applications Developer' role. However, the lack of team-based projects or explicit collaboration experience makes it difficult to fully assess cultural fit beyond technical alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a focus on practical problem-solving and system building, which are positive indicators for operational fit in a development role.