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Vipul Saini

@vipulsaini

AI Analyst Developer Specialist at FNZ building Azure OpenAI and RAG solutions for financial-services workflows.

At FNZ, I develop AI-enabled knowledge retrieval and business-process automation using LLMs, RAG, prompt engineering, and Azure OpenAI. I also contribute to secure financial-services applications and their production support.

At Fareportal, I exposed booking logic through REST APIs for OTA platforms and developed Angular applications and .NET Core microservices. I added caching for booking and rule engines, increasing booking throughput by approximately 30%.

At Amdocs, I contributed to .NET microservices and Angular/React applications for telecom solutions. I led end-to-end feature development and participated in system design, while supporting deployments on OpenShift Kubernetes using Docker and Jenkins CI/CD.

Experience

Work history, roles, and key accomplishments

Current

AI Analyst Developer Specialist

Current

FNZ

Dec 2025 - Present (11 months)

Developed AI-enabled knowledge retrieval and business-process automation solutions using LLMs, RAG, prompt engineering, and Azure OpenAI. Built backend services and REST APIs using C#, .NET 8/9, ASP.NET Core, and microservices, and developed responsive applications with Angular 18, TypeScript, and React.

Software Development II

Fareportal

Mar 2025 - Dec 2025 (9 months)

Exposed core booking logic through REST APIs for OTA platforms, supporting B2B and B2C integrations. Developed Angular 18+ applications and .NET Core microservices for reservations, scheduling, and background services, and added caching to improve UI responsiveness and increase booking throughput by approximately 30%.

REST APIs

Angular 18

.NET Core Microservices Caching SQL Server JWT

Security

Software Developer II

Amdocs

Jul 2022 - Feb 2025 (2 years 7 months)

Contributed to .NET microservices and Angular/React applications for B2B and B2C telecom solutions, implementing secure REST APIs and modular interfaces. Improved UI performance and user engagement by approximately 40% through intuitive, high-performance frontend design.