Devops, Github, Git, Gitlab, Restful Apis, Kubernetes, Python, MLOps practices, ML libraries

Data Science, Machine Learning, Artificial Intelligence, AI ML projects and research

Tensorflow, Numpy, Nlp, Pytorch, Docker, Python, AWS, Sql, Deep Learning, Git, Pandas, Gcp, MLops, Azure, Computer Vision, RNNs, Model Evaluation, CNNs, ML Algorithms, Generative AI, LLMs, Scikit-learn, Statistics, Transformers

Python, AI ML concepts, Software development and testing lifecycles, Gen-AI RAG fundamentals, Debugging and troubleshooting techniques

Sql, Pandas, LangChain, Polars, Prompt engineering advanced, Agentic AI design, Vector databases design scaling optimization, GPU basics, LangGraph, Model fine-tuning concepts, Python advanced, NLP systems and production AI pipelines, RAG architectures

React, Typescript, FastAPI, Rest Apis, Amazon Rds, Python, AWS, LangChain, AgentCore, SSE, Amazon Aurora, Strands Agents, WebSockets, Amazon Bedrock

C, AI ML, Cuda, Tensorflow, Git, Pytorch, Docker, Linux, Opencv, Kubernetes, Python, Computer Vision, cloud platforms, TensorRT, ONNX, Real-time video processing, RTSP video streaming

Databricks, Tensorflow, Python Programming, Pytorch, Azure, Agentic AI, LlamaIndex, LLM frameworks, search and retrieval pipelines, Scikit-learn, data ingestion, Langchain, Indexing, AI ML Generative AI development, RAG, ML Ops, CI CD pipelines

Java, PostgreSQL, Dynamodb, Spring Boot, Jsp, Spring MVC, HTML, Google Cloud, Redis, Nosql, Git, Docker, MySQL, Kubernetes, AWS, AI tools, ML tools