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MCP-Runware
August 13, 2025 – October 7, 2025
Model Context Protocol (MCP) server that provides lightning fast image and video generation tools using the Runware API.
View ProjectCrypto-News-Rag-Chain
May 29, 2025 – May 30, 2025
LangChain + retrieval-augmented generation (RAG) for crypto coin news
View ProjectPolymarket-Analysis-Agent
May 28, 2025 – May 30, 2025
This project combines the Model Context Protocol with LLM model and LangGraph agents for analyzing Polymarket
View ProjectNews-summarization-LLM
May 14, 2025 – May 15, 2025
This repository contains Indian news summarization using Google FLAN-T5, Both Fine-tuning and PEFT
View ProjectStock-Knowledge-Graph
December 29, 2024 – December 29, 2024
This repository populates a knowledge graph from data available on Yahoo Finance
View Projectsdk-python
April 21, 2024 – Present
The Python Runware SDK is used to interact with the Runware API, powered by the Runware inference platform. It supports image generation, video generation, image upscale, video upscale, image caption, video caption, image background removal, video background removal, audio generation, and more.
View ProjectGraphNodeClassificationUsingGCN
August 8, 2022 – June 16, 2024
GraphNodeClassificationUsingGCN — GitHub repository
View ProjectMonograph-of-Program-Analysis-for-Understanding-and-Reverse-Engineering-of-Network-Protocols
July 19, 2022 – July 19, 2022
Monograph-of-Program-Analysis-for-Understanding-and-Reverse-Engineering-of-Network-Protocols — GitHub repository
View ProjectBengaliDigits
July 18, 2020 – December 9, 2020
Handwritten digit recognition for the fifth largest spoken language in the world
View ProjectBook-Genre-Prediction-using-Book-Summary
April 19, 2020 – July 24, 2022
The aim of the project is to apply the principles of text mining on a piece of literary text, and categorize it into the genre into which it best fits.
View ProjectCultural Fit Analysis
The candidate demonstrates a strong initiative and passion for data science and machine learning through a wide array of personal projects. The diversity of projects, ranging from NLP and LLMs to computer vision and knowledge graphs, indicates a broad interest and willingness to explore different domains within data science. This self-driven learning and application align well with a culture that values continuous improvement and innovation. However, without information on collaborative projects or team roles, assessing direct team collaboration and communication style for cultural fit is limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The provided data primarily focuses on technical projects.