tokenization , Orchestration, Data Modeling, Networking, Microservices, Nosql, Tensorflow, Git, Typescript, Pytorch, Docker, Python, AWS, Java, Apis, Sql, Kms, Iam, Containers, Kubernetes, GenAI, embeddings, Go, vector databases, IaC, CI CD, VLMs, adapters, LLMs, secrets, RAG, prompt orchestration

Tensorflow, Pytorch, Containers, MLops, Orchestration, python, Software Engineering, Technical Documentation, Testing, Kubernetes, model registry, mentoring engineers, hugging face, model deployment, experiment tracking, stakeholder communication, cloud-native architectures, prompt optimization, model versioning, transformer-based architectures, model fine-tuning, ai platform engineering, ci/cd pipelines, embedding frameworks, code reviews, Production Support, vector databases, model evaluation, rag systems

Schema Design, Python, Excel-compatible output generation, canonical data modeling, workflow orchestration, rule engines, testing traceability, document parsing, LLMs in structured and constrained roles, data-processing pipelines, Agentic workflows

data wrangling , Cloud Infrastructure, Containers, Python, vector search systems, LLMs, model training, RAG-based systems, CI CD, document knowledge bases, NLP tasks, traditional ML models, feature extraction, large language models, LlamaIndex

Distributed Systems, Python, multimodal systems, vector databases, Pinecone, custom retrieval layers, Swarm, Chroma, transformer architectures, RLHF, LangChain, CrewAI, AI safety, agent frameworks, AutoGen, LLM fine-tuning, LoRA, MLOps tooling, generative AI models, Milvus, OpenAI, Weaviate, QLoRA, LlamaIndex, red-teaming

Cuda, Docker, FastAPI, Azure, Python, AWS, LangChain, Anthropic APIs, vector databases, Pinecone, LLM fine-tuning, FAISS, NVIDIA GPU toolkits

Pyspark, Matplotlib, Machine Learning, Power Bi, Cnn, Sql, Deep Learning, Api Development, Devops, Nlp, Rnn, Docker, Python, Generative AI, LSTM, LLMs, CI CD, Transformers, RAG

Azure, Python, AWS, LangChain, Generative AI, AWS Bedrock, LLMs, HuggingFace, Vector DBs, SageMaker, Embeddings, RAG, OpenAI

Api Development, Tensorflow, Numpy, Pandas, Pytorch, MLops, Docker, MongoDB, Python, Kubernetes, vector databases, Scikit-Learn, LLM fine-tuning, Transformers, distributed processing frameworks

Prompt optimization techniques, AI APIs and model deployment, AI-powered BI tools, Vector embeddings and semantic search, Prompt engineering tools and platforms, Model fine-tuning and evaluation techniques, Prompt Engineering