Tensorflow, Pytorch, Api Development, Python, ETL and Data Pipelines, Model Deployment, Scikit-learn, Prompt Engineering

data engineering , data warehouses , snowflake , Spark, Databricks, Sql, Pyspark, Etl, Cloud Technologies, Orchestration, Gcp, quality assurance, AWS, Python, Azure, risk management, automation use cases, model integration, GenAI solutions, stakeholder reporting, delivery governance, ELT pipelines, Lakehouse architectures, estimation planning, AI ML concepts, Data Lakes, data platforms, large-scale data processing, AI engineering

Backend Development, Apis, system integration, Python, LLMs, workflow orchestration, RAG, event-driven architectures, AI evaluation, observability, prompt engineering

Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Automated Testing, Microservices, Angular, Django, React, Typescript, DevSecOps, Docker, Rest Apis, Kubernetes, AWS, embeddings, event-driven architectures, vector databases, CI/CD pipelines, Python FastAPI, Java Spring Boot, observability

Tensorflow, Pytorch, Docker, Oracle, Python, AWS, Sql, Cuda, Git, Gcp, Neo4j, Keras, Azure, AWS Bedrock, NVIDIA, Google Gemini, Transformer architecture, Mistral, Vertex AI, Diffusion models, Agentic workflows, GANs, Graph DBs, LLaMA 3.0, OpenAI GPT-3.5, Copilot

Architecting complex multi-agent multi-model AI systems at scale, Full-stack AI expertise data engineering model training fine-tuning LLMOps infrastructure, Owns architecture decisions and design reviews ADRs, Mentors and upskills engineers, Technical leadership of AI engineering workstreams or a small team, Cross-functional partnership with Product Data Science Security and Compliance, Cost and performance optimization of AI systems in production

Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), API design, Python, Microservices, AWS, LLM optimization techniques, agent development frameworks, fine-tuning, Distillation, quantization

.NET, Azure Machine Learning, Sql, Tensorflow, Github, PowerShell, React, Angular, Pytorch, Node.js, Python, Kubernetes, Computer Vision, Javascript, Cognitive Services, GPT models, Azure CLI, Azure deployment services