Java, Git, Machine Learning, Gcp, MLops, Docker, Pyspark, Azure, Python, Sql, AWS

threat modeling , Data Protection, Javascript, Application Security, Iam, Grc, Python, AI ML LLM-based systems, ZTNA, SSE, SASE, Go, AI security controls, Zero Trust principles, security-by-design assessments, DLP strategies, security architecture reviews, Governance, Security Operations

Nlp, MLops, Azure, Python, experiment tracking, API deployment, NLU, vector databases, container orchestration, GDPR compliance, model serving

Debugging, Python, LangGraph, tracing, RAG systems, Claude Anthropic API, Claude Code, MCP-based interoperability patterns, observability

data engineering , Cloud Platforms (Azure, GCP), Large Language Models (LLMs), Machine Learning, Microservices, Software Development, Docker, Python, Sql, Deep Learning, Api Development, AWS, MLops, Data Analytics, Kubernetes, AI Governance, Vector Databases, AI Operations, Responsible AI Practices, semantic search, Generative AI, AI Agent Frameworks, Model Evaluation and Optimization, NoSQL Databases, CI/CD, Prompt Engineering

Sql, Tensorflow, Numpy, Git, Pandas, Pytorch, Databricks, Rest Apis, Python, Scikit-learn, ADLS Gen2, MLflow, Delta Live Tables, Azure Data Lake Storage, Delta Lake, AI ML libraries

Docker, Terraform, Python, Google Cloud Platform, Kubernetes, Big Query, CI CD, Cloud Run, Observability, GKE, Fast API, AI Security Evaluation, ML Ops, Vertex AI Agent Builder, Gemini Generative AI, RAG Vector Databases, Agentic AI Multi-Agent Systems

Algorithms, C, Java, Tensorflow, Linux, Rest Apis, System Design, AWS, Pytorch, data mining, Kubernetes, Python, Azure, Gcp, Docker, data structures, scikit-learn, Go, Statistics, Visualization

Typescript, Node.js, Python, DevOps practices

Sqlalchemy, API security, PostgreSQL, Rabbitmq, Django, Sqlite, Flask, FastAPI, Python, Django ORM, LangChain, AI ML development, document extraction, langFuse, large-scale RAG systems, Cloud Data Warehouses, OCR pipelines, langSmith, RAG methodologies, LangGraph, Java Spring Boot, fine-tuning LLMs