Apis, Microservices, system integration, MLops, Microsoft Azure, AWS, cloud-native solution development, continuous integration for AI models, AWS Developer CLI, Agentic AI solutions, GitHub Copilot, AI-assisted coding tools, vibe coding environments

Tensorflow, MLops, Pytorch, XGBoost, AWS, Python, Kubernetes, Docker, Apis, Microsoft Azure, Google Cloud Platform, Weaviate, LlamaIndex, Prompt Engineering, Semantic Kernel, AI Agents, LangChain, Pinecone, ChromaDB, Scikit-learn, vector databases, Generative AI technologies, Azure AI Search, Conversational AI solutions, microservices architecture, FAISS

object detection , Machine Learning, Artificial Intelligence, Tensorflow, Numpy, Git, Pandas, Pytorch, Opencv, Image Processing, Python, Computer Vision, Segmentation, CNNs, Deep Learning Architectures, Vision Transformers

containerisation with Docker, secrets management, pipeline automation with Azure DevOps, networking and load balancing, relational and non-relational databases, developing production-grade backend services using Python, asynchronous programming frameworks, cloud provisioning frameworks such as Terraform or CloudFormation, infrastructure-as-code, LLM API gateway technologies, container orchestration such as ECS Fargate, identity and access management technologies, observability and monitoring tools, multi-provider integration across major cloud AI platforms

MySQL, PostgreSQL, MongoDB, FastAPI, Kubernetes, Python, LangChain, LangGraph, LLM fine-tuning, RAG pipelines

FastAPI, Kubernetes, Python, Docker, PostgreSQL, agent memory systems, context management strategies, platform-level engineering standards, Ragas, prompt lifecycle management, LLM engineering, Azure OpenAI, RLHF, RAG pipeline architecture, LLM evaluation and observability practices, LangChain, pgvector, financial close Record-to-Report accounting, model fine-tuning, LangGraph

System Design, Application Development, Testing, Python, Cloud-native deployment patterns, Operational stability for ML or data-intensive systems

Static timing analysis, Linux, Lsf, Bitbucket, Git, Unix, Splunk, AI ML, Python, Jenkins, SDC, convolutional Networks, make, EDA Tools, GenAI, SW development, CI CD process, Implementation, design layout constraints, DesignSync, debug tools, Power-aware flows, UPF, Clocks, Design Verification, cdc, reinforcement learning, Graph Neural Networks, Dft, RDC