🤖 Agent Workflow Library

Build RAG Application (LangChain)

Procedure to build a Retrieval-Augmented Generation (RAG) system using LangChain, connecting LLMs to private data via Ve...

AI Engineer

Clean Text Data

Procedure to preprocess, normalize, and tokenize unstructured text data for Natural Language Processing (NLP) models.

NLP Engineer

Code Revamp (Optimization)

Procedure to audit and optimize AI/ML codebases for performance, strict typing, and modern Python standards (beyond basi...

Containerize ML Model

Procedure to package a trained Machine Learning model into a Docker container for deployment, ensuring reproducibility,...

Convert Model to ONNX

Procedure to convert Machine Learning models (PyTorch, TensorFlow, Sklearn) to the Open Neural Network Exchange (ONNX) f...

Create Feature Store

Procedure to implement a centralized Feature Store to ensure training-serving skew is eliminated and features are reusab...

ML Ops Engineer

Dependency Cleanup (Tech Debt)

Procedure to identify and remove unused libraries, retired models, and feature flags to maintain security and build spee...

ML Ops Engineer

Deploy Model with Flask

Procedure to wrap a Machine Learning model in a Flask REST API for real-time inference, including input validation and p...

Deploy Model to Endpoint

Machine Learning workflow for Deploy Model to Endpoint.

Deploy to SageMaker

Procedure to deploy a Machine Learning model to AWS SageMaker Endpoints, ensuring scalable, managed inference with Blue/...

MLOps Engineer

Documentation Update for AI & ML Engineering

Routine Documentation Update workflow specifically for AI & ML Engineering.

Engineer

Feature Selection Techniques

Procedure to identify and select the most relevant features for a machine learning model to reduce complexity and overfi...

Data Scientist

Fine-Tune LLM (LoRA)

Procedure to fine-tune Large Language Models using Low-Rank Adaptation (LoRA), enabling efficient customization on consu...

AI Engineer

Hyperparameter Tuning

Procedure to optimize model configuration (hyperparameters) to maximize predictive performance.

Implement RAG Pipeline (Ingestion)

Build a robust data ingestion pipeline for Retrieval Augmented Generation (RAG) that cleans, chunks, embeds, and indexes...

Data Engineer

Interpret Model (SHAP)

Procedure to explain machine learning model predictions (Global and Local importance) using SHapley Additive exPlanation...

Data Scientist

Knowledge Transfer for AI & ML Engineering

Routine Knowledge Transfer workflow specifically for AI & ML Engineering.

Engineer

Label Data with Active Learning

Machine Learning workflow for Label Data with Active Learning.

ML Code Revamp (Refactor)

Procedure to refactor experimental Jupyter Notebooks into modular, testable, and production-ready Python packages.

Monitor Model Drift

Procedure to detect model degradation (Data Drift / Concept Drift) over time, ensuring continued accuracy and triggering...

MLOps Engineer

Optimize Hyperparameters

Machine Learning workflow for Optimize Hyperparameters.

Performance Tuning for AI & ML Engineering

Routine Performance Tuning workflow specifically for AI & ML Engineering.

Engineer

Profile GPU Usage

Machine Learning workflow for Profile GPU Usage.