Automated pipeline for lens modelling based on lenstronomy

Tool for automated generation of computational workflows.

[ICML 2025 Oral] This is the official repository of the paper "What Limits Virtual Agent Application? OmniBench: A Scalable Multi-Dimensional Benchmark for Essential Virtual Agent Capabilities"

This project promulgates an automated end-to-end ML pipeline that trains a biLSTM network for sentiment analysis, experiment tracking, benchmarking by model testing and evaluation, model transitioning to production followed by deployment into cloud instance via CI/CD

Identifies the faulty wafer before it can be used for the fabrication of integrated circuits and, in photovoltaics, to manufacture solar cells. The project retrains itself after every prediction, making it more robust and generalized over time.

An automated pipeline for homology-modeling based on modeller

Transformando datos deportivos en insights tácticos. Desarrollo de visualizaciones avanzadas y flujos automatizados para el análisis de rendimiento de equipos y jugadores mediante IA y Python

🚀 End-to-end ML project: 93% accurate churn prediction + customer segmentation with Random Forest & K-Means. Features automated pipeline, Streamlit dashboard, comprehensive testing, and cross-platform deployment. Production-ready with 505K+ customer dataset analysis.

Production-ready data pipeline with Jupyter notebook, SQLite database modeling (star schema), and automated ETL workflows for customer churn analysis and segmentation.

End-to-end data engineering pipeline implementing Medallion Architecture (Bronze-Silver-Gold) for trip transaction analytics. Automated ETL using Azure Data Factory, Databricks, and Delta Lake with real-time monitoring and email notifications via Logic Apps.

SlideGen is an AI-powered tool that transforms any topic into a ready-to-present PowerPoint presentation using OpenAI's GPT and DALL·E APIs. Whether you're an educator, professional, or student, SlideGen simplifies the slide creation process across three modes: Desktop GUI (Tkinter), Web app (Streamlit), Airtable automation; all given for free😁✌🏻

🏎️ An AI-powered Formula 1 Strategy Engineer. Features a Llama 3.3 agent, physics-based simulations, and an automated ML pipeline that retrains itself every race week. Built with Streamlit, FastF1, and Groq.

A Node.js CRUD API with PostgreSQL database integration, containerized using Docker, and automated with a Jenkins CI/CD pipeline.

Machine learning system for phishing URL detection with MLOps pipeline, MongoDB integration, and FastAPI deployment.

To comprehensively characterize the metabolic potential, functional capabilities, and genomic features of high-quality genome assemblies in a standardized and comparable manner.

BS/MS Computer Science | Building scalable, private AI agents with LangChain & AWS | Infrastructure as Code Enthusiast | Terraform | Python | DevOps | CCSU

An automated phylogenomics workflow that utilizes GToTree for marker gene extraction and IQ-Tree for high-resolution Maximum Likelihood tree inference.

The aim is to detect a fault in a Wafer sensor by looking at the data that is generated by the sensor and then classifying them into Good Wafer (-1) or Faulty/Bad Wafer (1). Used Automated Process for Training and Predictions Process. For the training Process, the Program automatically Selects the Best performing out of 5 different Classificatio…

AutoDataAnalyzer: Automate data ingestion, analysis, and visualization with AI/ML-powered pipelines. Features natural language query processing, interactive Plotly visualizations, and seamless deployment via Docker.