Microsoft Azure, Python, GitHub Copilot, RESTful API design, AI ethics and regulations

quantitative analytics , Typescript, Javascript, Docker, Python, AWS, Java, Version Control, Devops, Git, Gcp, DevSecOps, Azure, Kubernetes, Data Interpretation, IDES, Go, Cloud environments, SDLC understanding, MCP Infrastructure requirements, AI-first engineering practices, LLMs, infrastructure-as-code, observability platforms

Tensorflow, Pytorch, Python, Generative AI, fine-tuning, model evaluation, Agentic AI, prompt engineering

snowflake , Kafka, Data Modeling, Tableau, Data Governance, Nosql, Python, AWS, Hadoop, Power Bi, Agile Methodologies, Apache Spark, Data Architecture, Data Warehousing, Sql, Git, Databricks, Azure, GenAI, DBX Genie, SF Cortex, DevOps practices, Jupyter notebooks, CI/CD pipelines

Java, Orchestration, Ml, Memory Management, Docker, Software Engineering, Kubernetes, Python, ASR, tool function calling, Reasoning, Go, Ai, event-driven architectures, LLM systems, real-time communications, streaming audio, Distributed System Design, TTS, RAG, knowledge systems

Machine Learning, Api Development, Gcp, Azure, Python, AWS, AI orchestration frameworks, Generative AI, LLMs, vector databases, prompt engineering, Agentic AI, RAG architectures

Retrieval-Augmented Generation (RAG), Api, Python, Microservices, LangGraph, Langchain, Agentic AI, LLMs, multi-agent workflows, backend services, orchestration pipelines

data engineering , Machine Learning, MLops, Algorithm Design, Deep Learning, Cloud Platforms, AI Ethics, Python Programming Language

MLops, Python Programming, Azure, AWS, Artificial Intelligence AI, RAG architecture, DevOps practices, Prompt Engineering and LLM Fine-Tuning, Google Cloud Platform GCP, Vector Databases, Generative AI GenAI, Intelligent Document Processing IDP, Machine Learning ML, Embedding Models

Machine Learning, Cassandra, Kafka, Tensorflow, Pytorch, Docker, Spark, Search Engines, LLMs, K8S, vector databases, deep-learning algorithms, big data frameworks