AI & Data Architect with over a decade of experience building scalable, real-world solutions using data engineering, AI/ML, and cloud-native technologies.
Based in Hannover, Germany 🇩🇪 | Open to collaboration & new opportunities
- I’m currently working on building end-to-end RAG (Retrieval-Augmented Generation) solutions using Azure OpenAI, LangChain, and ChromaDB, and creating content for optimizing power bi reporting solutions
- I’m currently learning LangGraph, LLMOps, and vector database optimization for production AI systems.
- I’m looking to collaborate on data/AI platform modernization, streaming pipelines, and MLOps infrastructure projects.
- Ask me about:
- Building scalable Data Mesh / Lakehouse architectures
- Real-time ingestion using Kafka & Spark
- Operationalizing GenAI in enterprise with RAG pipelines and MLOps
- How to reach me: ankit.khare.2015@gmail.com | LinkedIn
- I am humbled at: I’ve repeatedly optimized analytics data pipelines and reporting solutions in under three weeks, significantly improving team efficiency and driving higher user adoption.
Languages: Python, SQL, Scala
AI & ML: Azure OpenAI, LangChain, LangGraph, MLflow, PyTorch
Big Data: Apache Spark, Kafka, Databricks
Cloud: Azure, Azure Synapse, Azure ML, Azure Event Hub
Data Tools: dbt, Airflow, Delta Lake, Power BI
DevOps: Docker, Terraform, CI/CD pipelines
Watch this space! I’m currently creating projects in the following areas:
- End-to-end AI applications and RAG pipelines
- Understanding and implementing AI guardrails and safety systems
- Exploring post-training strategies and terminology
- Working with diffusion models and generative AI architectures
- Getting started with LangChain and building intuitive AI agents
- Creating dummy use cases across various domains like:
- Airline (e.g., predictive maintenance, intelligent customer support)
- Energy (e.g., anomaly detection, real-time grid analytics)
- Business Assurance (e.g., revenue assurance using audit platforms)
- Dairy Industry (e.g., milk quality prediction, supply chain AI)
These projects will cover core concepts in data platforms, AI integration, and scalable data engineering.