model selection , Python, Neural Networks, Clustering, 5G NR Core stack, RAG systems, CNNs, Supervised Classification, LangGraph, Time-Series Forecasting, Data pipelines, CrewAI, LSTMs, TFT, Root Cause Analysis, n8n, AI-native 6G architectures, Regression, GNNs, Transformers, Deep Reinforcement Learning, Knowledge Graphs, Model evaluation, Unsupervised Anomaly Detection

Ml, Nlp, Cloud, MLops, Api, Python, Gen AI, Ai, MCP, Llm

data engineering , Docker, Data Cleaning, Rest Apis, AWS, Python, Azure, Cloud Infrastructure, Gcp, ETL pipelines, LLM-based systems, semantic search architecture, vector databases, embeddings, large-scale processing

Data Science, Machine Learning, Python, ML Ops, Vector Database, Statistics

Java, Typescript, Pytorch, Python, AWS, SageMaker, Deep learning architectures, AI coding agents, Ray, MCP-based integrations, Cloud-Native AI applications

Python, Tensorflow, Keras, Nlp, Sql, Model Deployment

Scripting, Golang, microservice architecture, Numpy, Pandas, Scikit, Kubernetes, Python, AWS, GenAI Prompt Engineering, DevOps practices, cloud-native applications, Jupyter notebooks

Flask, Sql, Tensorflow, Django, Numpy, Rest Apis, Pandas, Pyramid, Python, ScikitLearn, Python ORM Libraries, Cognitive Services, Azure OpenAI, Dataset preparation and cleansing, Azure ML Studio