Hitesh Dangi
Lead Java Software Engineer | AI Inference Engineer | Real-time Systems, Microservices, Spring Boot | LLM Integration | Spring AI, RAG, Model Context Protocol | Building High-Impact AI Solutions in Financial Services
- Role
- Senior Java Developer at UBS
- Location
- New York, NY, US
- LinkedIn followers
- 500 followers
About Hitesh Dangi
Senior Java Engineer with 15+ years of experience designing and delivering distributed…
Experience
Senior Java Developer
Aug 2024 — Present · NY, US
In my current role, I’ve been driving the design and development of AI-powered and microservice-based backend solutions using Java, Spring Boot, and emerging technologies like Spring AI and OpenAI models. UBS Risk Insights – AI-Powered Market Risk PlatformDesigned and delivered an AI-driven platform to modernize market risk monitoring by automating the analysis of publicly sourced financial data.Key Contributions- Built real-time alerting engine using predefined risk thresholds for high-impact market events- Designed a risk categorization framework to help users intuitively prioritize events- Developed an interactive AI chatbot for querying news articles, risk scores, and background insights Resulted in a significant reduction in manual effort, improved decision accuracy, and showcased the power of GenAI in real-time financial risk management. RWAgent AI – Risk-Weighted Assets Analysis PlatformLed the end-to-end design and implementation of an AI-enabled solution for generating insights from RWA and Basel regulatory data.Highlights- Architected the MCP framework to facilitate context-aware AI interactions- Integrated Spring AI, Azure OpenAI, and GPT-4o to power regulatory risk assessments- Delivered structured, explainable AI outputs for risk officers and regulatory teams Demonstrated practical use of GenAI in improving clarity and usability of complex regulatory data, aligned with Basel compliance workflows. TalktoDocs – AI Document Intelligence AssistantBuilt a document intelligence platform leveraging LLMs to assist users in navigating large legal, risk, and financial documents.Key Achievements-Implemented RAG architecture with Spring AI, pgvector, and GPT-4o (Azure/OpenAI)-Developed safeguards for prompt injection and fine-tuned retrieval strategies for improved accuracy Delivered highly contextual, enterprise-grade document Q&A experience for risk, legal, and compliance teams.
Education
Hemchandracharya North Gujarat University
Master's Degree, Computer Software Engineering
2004 — 2007
Hemchandracharya North Gujarat University
Bachelor's Degree, Computer Software Engineering
2001 — 2004
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