BigQuery, Terraform, Kafka, Python, Sql, Cloud Composer, GitHub Actions, Vertex AI

object detection , Deep Learning, Tensorflow, Nlp, Rest API Development, Opencv, Image Processing, Python, Computer Vision, YOLO, Image Classification, NoSQL database design, Faster R-CNN, RDBMS design and optimisations

Python, data pipelines, hallucination mitigation techniques, solution architectures, Mistral, MLOps tools, guardrails, RAG pipelines, fine-tuning techniques, Generative AI models, safety mechanisms, fine-tuning workflows, model monitoring, Haystack, LangChain, PEFT, instruction tuning, LLaMA, LLMs, Anthropic, prompt engineering, LoRA, CI CD pipelines, OpenAI, LlamaIndex, multimodal models

Azure Functions, Rest Apis, Python, Azure AI Services, Cognitive Search, Document Intelligence, Azure DevOps pipelines

Prometheus, Kafka, Azure Databricks, Datadog, Redis, Sql, Django, Rabbitmq, Neo4j, Docker, Elasticsearch, Spark, Flask, FastAPI, Cosmos DB, Helm, Kubernetes, Python, Azure DevOps, SSE, asyncio, OpenTelemetry, Delta Lake

S3, Aws Lambda, Cloudformation, Dynamodb, JIRA, Git, Ec2, Confluence, Terraform, AWS CodePipeline, Kubernetes, Python, Generative AI, AWS Bedrock, Step Functions, AWS Cloud Services, Kong API Gateway, EKS, AWS Secrets Manager

Testing, Tensorflow, Pytorch, Databricks, Python, pre-training datasets, evaluation benchmarks, fine tuning, code reviews, Agents and Agentic workflows, ML AI engineering, language modeling technologies, embedding techniques, software engineering principles, model architectures, scalable distributed systems, Mosaic AI Gateway, Deployment

unstructured data , graph databases , TigerGraph, Neo4j, PostgresDB, taxonomies, Cypher, structured data, ArangoDB, entities, Relationships, Amazon Neptune, Gremlin, semantic data modeling, ontologies