
Senior AI/ML Engineer with expertise in building large-scale AI applications and LLM-powered systems. Designs production-grade GenAI systems and scalable ML infrastructure on cloud platforms. Experienced in observability and enterprise AI deployments, enhancing performance for thousands of users. Focused on innovative AI system design and advanced multi-agent architectures.
Programming: Async
Python, Python
AI / Machine Learning: Deep
Learning, LLM Applications, Machine
Learning, Multi- Agent Systems, NLP, Retrieval
Augmented Generation(RAG)
Frameworks & Libraries: Autogen, CrewAI, FastAPI, Keras, LangGraph, Microsoft
Bot Framework, Microsoft
Framework, NLTK, NumPy, Pandas, Pydantic
AI, Pytorch, Rasa, Scikit-Learn, SpaCy, RAGAS, DeepEval, Azure AI Evaluation
GenAI & Vector Systems: Azure OpenAI, Embeddings, Semantic Search, Vector Databases (Milvus, Weaviate,
Qdrant, Chroma)
Cloud & Infrastructure: Azure
App Service, Azure Blob Storage, Azure
Databricks, Azure Functions, Azure Kubernetes Service(AKS)
Observability: Azure
Monitor, Dynatrace, Grafana, Logging
& Monitoring pipelines, OpenTelemetry, Prometheus
Databases: Azure AI
Search, MySQL, Oracle
SQL, Redis
Cloud architecture