C, Matlab, AI ML, Python, Signal processing algorithms, Transformers, CUDA programming, NVIDIA GPU Architectures, Wireless Layer1 Layer2 functions, CNNs

Machine Learning, Jax, Tensorflow, Pytorch, Linux, Python, Computational Fluid Dynamics, Scientific Computing, GPU-based training, physics-informed neural networks, neural operators, surrogate modeling, design of experiments, reduced-order modeling, HPC environments, parallel computing

Python, Cuda, hip, Linux-based development, Automated tests for low-level systems or runtime libraries

Kubernetes, python, Natural Language Processing, Docker, Deep Learning, Cloud Infrastructure, Tensorflow, Pytorch, langgraph, ml evaluation, generative ai, Llm, langchain, embedding, rag, Statistics, ai multimodal, vector database, ai agent system

RAG Retrieval-Augmented Generation, Claude LLM Integration, AWS SageMaker, AI ML Workload Optimization, Agent Core, Amazon Bedrock, Data Architecture for AI ML

Cloud Devops, Enterprise Integration, Basic exposure to AI ML concepts, Understanding of REST APIs JSON Git, Python Full-Stack Development, Agentic AI LangChain LangGraph MCP RAG, Programming APIs, AI Frameworks, LLM Prompt Engineering, Good Python programming fundamentals, Agentic AI Concepts, Testing Observability, Security Responsible AI

text classification , Data Cleaning, Svm, XGBoost, Python, GenAI, embeddings, fine-tuning, LLM usage, cross-validation, Training, prompt engineering, Agentic AI, NLP techniques, feature engineering

data engineering , cloud platform , Google Cloud - Architecture, Microsoft Technologies- ALL, Microsoft Technologies, Databricks, AWS Core services, Technology