Aryan Jaiswal
@aryan19jaiswal
Software Engineer building AI-driven platforms with Java, Spring Boot, and agentic LLM workflows—fast, reliable, human-in-the-loop.
What I'm looking for
I’m a Technology Apprentice at Morgan Stanley where I architect and deploy an AI-driven operations platform powered by Spring AI and LangChain4j, including MCP servers exposing 10+ production-grade tools. I build systems that keep humans in the loop for critical decisions—cutting manual monitoring effort by 70% and improving issue response time by 50%.
Recently, I led migrations from Java 17 → 21 and Spring Boot 2.x → 3.4.6, upgrading dependencies to improve maintainability and delivering a 45% increase in the project’s freshness score. I also resolved a long-standing production issue by redesigning portfolio trade processing to batch high-volume portfolio IDs, significantly improving stability and reducing memory pressure for large datasets.
Beyond operations, I designed an on-demand recalculation API for real-time reprocessing, removing dependency on scheduled batch jobs and costly full reruns, and I built observability via a Grafana dashboard. I’m also comfortable building product features end-to-end—I interned on a Loan Origination System using React.js and Tailwind CSS—and I enjoy designing safe deployment workflows with regression frameworks and structured LLM behaviors.
Experience
Work history, roles, and key accomplishments
Architected and deployed an AI-driven operations platform using Spring AI and LangChain4j, exposing 10+ MCP tools; reduced manual monitoring effort by 70% and improved issue response time by 50%. Migrated Java 17 to 21 and Spring Boot 2.x to 3.4.6, increasing project freshness score by 45%, and rebuilt portfolio trade processing plus an on-demand recalculation API to improve stability and enable r
Full Stack Intern
Delovita Services Private Limited
May 2025 - Jul 2025 (2 months)
Built the Loan Origination System (LOS) for internal users using React.js and Tailwind CSS, reducing document creation and maintenance effort by over 50%. Migrated backend services from Golang to Node.js to unify the stack, optimize PostgreSQL interactions, and address bugs to accelerate feature development.
Education
Degrees, certifications, and relevant coursework
Maharishi Markandeshwar University
Bachelor of Technology (B.Tech), Computer Science & Engineering
2022 - 2026
Grade: CGPA: 8.20
Pursuing a B.Tech in Computer Science & Engineering from Maharishi Markandeshwar University (Sep 2022–May 2026), with a CGPA of 8.20.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Social media
Job categories
Skills
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