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n8n-Blog-Writing-Workflow
May 23, 2026 – Present
End to end blog writing agent starting from Competitor Keywords analysis, Keyword research, Checklist Generation, Blog Writing and storing all data in Notion
View ProjectSearch-engine-for-local-markdown-files-with-tagging
March 18, 2026 – Present
This is a local search engine takes advantage of markdown syntax by giving boost to words in headlines, emphasis and other markup. One special feature is that it treats the first line of a markdown file as a list of **tags** (this behaviour is configurable, the tags line can be prefixed with a term or switched off).
View ProjectLangchain-Runnables
March 13, 2026 – Present
This repository contains a simple yet effective methods to understand what runnables in langchain are and how they can be implemented
View ProjectLangChain_Output_Parsers
March 12, 2026 – Present
This repository demonstrates structured output parsing techniques in LangChain using different output parsers including:
View ProjectLangchain-Structured-Output
March 6, 2026 – Present
This repository demonstrates how to generate **structured outputs from Large Language Models (LLMs)** using **LangChain**. Instead of receiving raw text responses from an LLM, structured output allows the model to return **validated, machine-readable data** such as dictionaries, Pydantic objects, or typed schemas.
View ProjectLangChain-Prompts-and-Chat-Systems
March 3, 2026 – Present
This repository contains hands-on experiments with LangChain prompt engineering, chat templates, message handling, and a simple Streamlit-based research summarization tool. The project focuses on understanding how prompts, chat messages, memory placeholders, and structured templates work in LangChain before building advanced AI systems.
View ProjectLangchain_models_practice
March 1, 2026 – Present
This repository contains my hands-on practice and experiments with LangChain, covering core concepts
View ProjectLibrary-Management-System-with-File-Persistence-and-OOP-
August 15, 2025 – August 15, 2025
This project features: Multiple classes (“Book”, “Member”, “Library”) Add/search/issue/return books Register/view/remove members All data saved to and loaded from files (so you don’t lose data when you close the program) Use of Java Collections and I/O Command-line interface menu
View ProjectCultural Fit Analysis
The candidate's projects are predominantly personal and heavily focused on Python and AI/ML, which does not directly align with a 'Frontend Developer' target role. While demonstrating initiative, the lack of diverse frontend-specific projects (beyond basic HTML/CSS/JS and one TypeScript app) suggests a potential mismatch for a dedicated frontend position. The absence of team projects or open-source contributions limits the assessment of collaborative fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are clear but do not provide insight into collaboration, problem-solving approach, or communication style in a team setting.