About Arjun
I build Python backend services, REST APIs, and data pipelines that work reliably in production. With nine years of professional experience across scientific research and enterprise fintech, I am comfortable owning a project from architecture through deployment.
At Fraunhofer IWM in Freiburg, I spent four years building Python backend services and distributed data pipelines for AI-driven materials simulation, working in a multi-institution European research environment. My stack there: FastAPI, PostgreSQL, Docker, GitLab CI/CD, pytest. Before that, I spent five years at Envestnet building Java microservices using Spring Boot and Spring Cloud for a fintech platform handling millions of transactions daily for clients, including Salesforce, BlackRock, and Fidelity.
I work well with technical and non-technical stakeholders and can translate domain requirements into software that solves real problems. I am particularly interested in projects in scientific computing, research infrastructure, data engineering, and AI-adjacent tooling.
Based in Freiburg, available for remote projects across Europe and on-site work in the Freiburg and Karlsruhe area.
Malayalam
Native or bilingual
English
Fluent
German
Conversational
Konkani
Native or bilingual
Tamil
Conversational
Hindi
Conversational
Remote only
Primarily works remotely
Experience
- Fraunhofer Institute for Mechanics of Materials IWMResearch Software EngineerNovember 2021 - September 2025 (3 years and 10 months)79 Freiburg im Breisgau, Germany• • Built Python backend services and distributed data pipelines for AI-driven materials simulation, handling large volumes of experimental data from multiple sources• • Designed modular service architectures with clearly separated layers so components could be adapted to different research setups without rewriting core logic• • Wrote anomaly detection and validation checks to catch bad data before it caused problems downstream• • Built and maintained REST APIs using FastAPI, connecting simulation workflows to downstream analysis tools• • Managed GitLab CI/CD pipelines and Docker environments across a multi-institution international project• • Worked closely with materials scientists and engineers to translate complex domain requirements into production ready software• • Thesis: applied machine learning and numerical simulation to model the creep behaviour of metallic materials, combining physics-based simulation with AI-driven predictive analysis
- Envestnet, Inc.Engineer -> Senior Engineer -> Associate Lead EngineerJuly 2016 - March 2021 (4 years and 8 months)India• • Built and maintained microservices using Java, Spring Boot, Spring MVC, and Spring Cloud for a fintech SaaS platform handling financial data across stocks, ETFs, retirement schemes, and portfolio management tools for advisors across the US• • Clients included Salesforce, BlackRock, and Fidelity, with systems handling millions of transactions daily• • Designed REST APIs and produced technical documentation using Swagger and OpenAPI• • Implemented security flows including OAuth2, JWT, and SAML across services• • Integrated with APIGEE for external-facing API gateway management• • Built batch processing and data orchestration pipelines connecting internal and external financial systems• • Set up CI/CD pipelines using Jenkins, Docker, Maven, and Gradle• • Contributed to a React-based API documentation portal for clients, working with TypeScript and component-based UI design• • Began mentoring junior engineers and running code reviews as responsibilities grew• • Joined as a graduate engineer and progressed to Associate Lead Engineer over five years, taking on technical leadership, architectural decision-making, code reviews, and cross-team mentoring
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Education
- M.Sc. Embedded Systems EngineeringUniversity of Freiburg2025M.Sc. Embedded Systems Engineering
- B.TechMar Athanasius College of Engineering2016B.Tech