17+ years of software expertise, now focused on building intelligent AI systems that automate and augment financial decision-making.
I'm Nitin Udasin, a Project Manager & Solutions Architect at Mphasis with over 17 years of experience building scalable, cloud-native software systems. But my real passion lies at a different intersection — Artificial Intelligence and Financial Markets.
Having architected enterprise systems on AWS and Azure, I bring engineering rigor to the world of AI. I'm deeply focused on building Agentic AI frameworks, production-grade RAG pipelines, and intelligent tools that automate complex financial research workflows.
My work spans automating Peter Lynch-style stock analysis, building VCP pattern detectors, developing STL-based trading strategies, and creating LLM-powered fundamental analysis tools — all aimed at giving retail investors and analysts the power of institutional-grade research.
Combining engineering discipline with investment thinking to build systems that are both technically sound and financially intelligent.
Every AI model is only as good as the data it reasons over. I start with deep fundamental research — understanding business quality, competitive moats, and management integrity — before automating any analysis.
I don't just build prototypes. Every system I create is designed for reliability, scalability, and real-world deployment — with proper error handling, logging, and monitoring from day one.
AI should amplify human judgment, not replace it. My tools surface signals, synthesize research, and highlight opportunities — with the human analyst always in the decision loop.
I break down complex problems to their fundamentals before building solutions — whether it's a trading algorithm or an LLM pipeline architecture.
The AI landscape moves fast. I dedicate significant time to reading research papers, testing new frameworks, and staying at the cutting edge of both AI and finance.
Every project starts with deep research. I study the investment greats — Lynch, Fisher, Graham, Minervini — and encode their frameworks into intelligent, automated systems.
I build tools that create real value — giving retail investors access to institutional-quality research and helping organizations make better data-driven decisions.
Leading cloud transformation for Wynsure insurance product and Life & Annuities Agent Dashboard (LIDA). Managing AWS EKS, Terraform, Java microservices, and Azure DevOps pipelines at scale.
Designed and led development of Digital HRMS on Azure cloud. Architected MVC, Web API, React.js systems with MS SQL 2016. Conducted pre-sales, technical RFP responses, and solution demos.
Built e-governance applications for the FIJI government (Land Transport Authority) and comprehensive campus management systems for education institutions across Maharashtra.
Developed iLien – a web-based legal document filing system. Led penetration test remediation implementing OWASP Top 10 security measures including Anti-CSRF tokens and XSS prevention.
Started career building web applications using ASP.NET and SQL Server. Developed core skills in C#, database design, and enterprise application development.
Industry-recognized credentials in cloud architecture and AI fundamentals.