- 🔭 I'm currently working on enterprise ETL scheduling systems and RAG-based semantic search applications using Spring Boot and vector databases
- 🌱 I'm currently learning advanced LLM optimization techniques and distributed vector database architectures
- 👯 I'm looking to collaborate on open-source AI/ML projects, microservices frameworks, and real-time data processing systems
- 🤔 I'm looking for help with scaling vector similarity search for millions of documents and optimizing Kafka event streaming
- 💬 Ask me about Java Spring Boot, RAG architectures, Kafka microservices, AWS cloud solutions, NLP pipelines, or machine translation systems
- 📫 How to reach me: LinkedIn | [email protected]
- 😄 Pronouns: He/Him
- ⚡ Fun fact: I built AI systems at Amazon that improved translation accuracy till 93% and saved $13K monthly in infrastructure costs!
- AI-Powered Knowledge Systems: RAG applications with vector embeddings and semantic search
- Enterprise ETL Platforms: High-throughput data processing with Spring Boot and Kafka
- Microservices Architecture: Event-driven systems handling millions of transactions
- Machine Learning Pipelines: NLP solutions for document analysis and translation
- 💼 8+ years at Amazon, American Express and Cerner building enterprise-scale systems
- 🌍 Global impact: Document analysis systems serving millions of users worldwide
- 🤖 AI expertise: RAG systems, LLMs, semantic search with 90%+ accuracy
- 💰 Cost optimization: Reduced infrastructure spend by $13K+ monthly
- 👥 Leadership: Led teams of 3+ engineers and mentored junior developers