Rajesh Arya — CEO

𝗜 𝗯𝘂𝗶𝗹𝗱 𝗔𝗜 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝘁𝗵𝗮𝘁 𝘄𝗼𝗿𝗸 𝗶𝗻 𝘁𝗵𝗲 𝗿𝗲𝗮𝗹 𝘄𝗼𝗿𝗹𝗱 — 𝗻𝗼𝘁 𝗷𝘂𝘀𝘁 𝗱𝗲𝗺𝗼𝘀. As VP of Software Engineering at Morgan Stanley, I design and ship production AI in one of the most regulated environments on the planet — where failure isn't just a bug, it's a compliance event. 𝗪𝗵𝗮𝘁 𝗜'𝘃𝗲 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝘀𝗵𝗶𝗽𝗽𝗲𝗱: → 𝗦𝗲𝗹𝗳-𝗜𝗺𝗽𝗿𝗼𝘃𝗶𝗻𝗴 𝗠𝘂𝗹𝘁𝗶-𝗔𝗴𝗲𝗻𝘁 𝗜𝗻𝘃𝗲𝘀𝘁𝗼𝗿 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗦𝘆𝘀𝘁𝗲𝗺 Built on LangGraph — handles intent classification, RAG retrieval, compliance-aware response generation, and human-in-the-loop review. The system tracks every human edit, performs automated root cause analysis (tool failure? bad API input? wrong prompt?), fixes the responsible prompt, re-runs the full golden test suite to verify no regression, and gets measurably better with every correction. Without manual intervention. → 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱 𝗣𝗿𝗼𝗺𝗽𝘁 𝗢𝗽𝘁𝗶𝗺𝗶𝘀𝗮𝘁𝗶𝗼𝗻 𝗘𝗻𝗴𝗶𝗻𝗲 Plug in your golden dataset (Excel or DB). Define train/test split. Walk away. The system iterates autonomously for hours — evaluating prompt variants, scoring outputs, identifying failure patterns — and returns an optimized prompt with full blind test results. No manual prompt fiddling. → 𝗔𝗜𝗥𝗦 | 𝗔𝗜 𝗩𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻 𝗧𝗿𝗮𝗰𝗸𝗲𝗿 Automated valuation extraction for financial analysis — ~70% reduction in manual effort, improved operational accuracy at enterprise scale. 𝗧𝗲𝗰𝗵 𝗜 𝘄𝗼𝗿𝗸 𝗶𝗻 𝗱𝗮𝗶𝗹𝘆: Python · C# · LangGraph · OpenAI APIs · RAG · Vector DBs · Microservices · Domain-Driven Design · Docker · Kubernetes 𝗪𝗵𝗮𝘁 𝗱𝗿𝗶𝘃𝗲𝘀 𝗺𝗲: The hard problems — where AI meets compliance, where automation meets accountability, where systems need to be both intelligent and trustworthy. I also write about the real friction of AI adoption in regulated environments — governance, trust, and why most enterprise AI projects die in the approval queue, not the build phase. 𝗜𝗳 𝘆𝗼𝘂'𝗿𝗲 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗔𝗜 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝗶𝗻 𝗳𝗶𝗻𝗮𝗻𝗰𝗲 𝗼𝗿 𝗿𝗲𝗴𝘂𝗹𝗮𝘁𝗲𝗱 𝗲𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁𝘀 — 𝗹𝗲𝘁'𝘀 𝘁𝗮𝗹𝗸.

Stackforce AI infers this person is a Fintech AI Systems Architect with a strong focus on compliance and automation.

Location: Bengaluru, Karnataka, India

Experience: 13 yrs 5 mos

Skills

Ai Systems Architecture
Compliance In Ai
Automation

Career Highlights

Expert in building AI systems for regulated environments.
Led cross-functional teams to ensure compliance in AI projects.
Designed automated systems that improve operational efficiency.

Work Experience

Morgan Stanley

Vice President (4 yrs)

Wells Fargo

Vice President (3 mos)

Assistant Vice President (1 yr 9 mos)

JPMorgan Chase & Co.

Associate (2 yrs 7 mos)

Genpact Headstrong Capital Markets

Lead Consultant (10 mos)

Capgemini

Consultant (1 yr 9 mos)

L&T Infotech

Software Engg (2 yrs 6 mos)

Education

Bachelor of Engineering (BE) at SSEC

Rajesh Arya

CEO

Bengaluru, Karnataka, India13 yrs 5 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in building AI systems for regulated environments.
Led cross-functional teams to ensure compliance in AI projects.
Designed automated systems that improve operational efficiency.

Stackforce AI infers this person is a Fintech AI Systems Architect with a strong focus on compliance and automation.

Contact

Skills

Core Skills

Ai Systems ArchitectureCompliance In AiAutomation

Other Skills

RAG (Retrieval-Augmented Generation)Agentic AutomationLLM OrchestrationVector databasesLangGraphRAGCompliance-aware response generationAutomated prompt optimizationData evaluationBlind test evaluationOpenAI APIsRisk-aware decision routingAuditabilityLarge Language Models (LLM)AI Governance

About

Experience

13 yrs 5 mos

Total Experience

2 yrs 2 mos

Average Tenure

4 yrs

Current Experience

Morgan stanley

Vice President

May 2022 – Present · 4 yrs · Bengaluru

Built a self-improving multi-agent investor communication system using LangGraph — combining intent classification, RAG-based retrieval, compliance-aware response generation, and human-in-the-loop review. System performs automated root cause analysis on every human edit, corrects the responsible prompt, and re-runs the full golden test suite before accepting any fix. Gets measurably better in production without manual intervention.
Designed an automated prompt optimisation engine that ingests golden datasets (Excel/DB), configures train/test splits autonomously, iterates unattended for hours across prompt variants, and returns optimised prompts with full blind test evaluation results — eliminating manual prompt engineering cycles entirely.
Architecting end-to-end AI workflows integrating OpenAI APIs with internal data sources, with full observability, auditability, and risk-aware decision routing — built to meet compliance and governance requirements from day one.
Collaborating with risk, legal, compliance, and data engineering at design stage — not post-build — to ensure AI systems are governance-ready before they reach production.
Leading cross-functional engineering teams through design, sprint cycles, and delivery — institutionalising best practices for fault tolerance, observability, and responsible AI deployment.

RAG (Retrieval-Augmented Generation)Agentic AutomationLLM OrchestrationVector databasesLangGraphAI Systems Architecture+1

Wells fargo

2 roles

Vice President

Promoted

Feb 2022 – May 2022 · 3 mos

Led the Auto LOS Modernization initiative by designing a scalable microservices platform that improved development velocity by ~80% and automated key cross-cutting concerns.
Created a reusable microservices package to standardize repository creation, integration with messaging (Kafka), and database backends
Drove architecture, initial deployment configuration, and agile delivery cadence
Integrated automated loan workflows, significantly boosting efficiency and accuracy
Recognized with the Wells Fargo Team Champion Award (2021) for leadership and impactful delivery

Assistant Vice President

May 2020 – Feb 2022 · 1 yr 9 mos

Jpmorgan chase & co.

Associate

Oct 2017 – May 2020 · 2 yrs 7 mos

In this role, I excelled at strategic task management by accurately assessing and sizing JIRA tasks, ensuring optimal resource allocation and strict adherence to timelines for the General Apps suite development. I implemented story-level functionalities within EPIC frameworks, enabling smooth feature deployment and coordinating promotions across higher environments for the AMLOC and BEC applications.
I effectively communicated with key stakeholders through engaging demonstrations, highlighting the value and functionality of General Apps in optimizing deal management processes. Additionally, I actively contributed to fostering a collaborative culture by supporting team members and promoting knowledge transfer within the Rapid Team. My efforts in refining deal management processes ensured compliance and enhanced operational efficiency across various financial instruments

Genpact headstrong capital markets

Lead Consultant

Dec 2016 – Oct 2017 · 10 mos · Bangalore

I took complete ownership of key User Stories, ensuring their successful execution in alignment with R360's strategic risk assessment framework. I played a key role in mentoring junior team members, fostering a collaborative environment that improved overall team productivity and knowledge sharing.
I led the optimization of JPMorgan’s risk assessment methodologies, delivering more accurate and relevant automated risk reports. In addition, I spearheaded UI/UX enhancements for R360, creating a more intuitive and seamless user experience across both web and WPF applications. By developing and refining automated reporting solutions, I ensured the delivery of timely, precise, and user-centric reports tailored to meet diverse business needs. I also facilitated seamless cross-platform integration between web and WPF components, enhancing R360's efficiency and effectiveness for multiple user groups and applications.