Hi, I’m Viswanth Donda, a software engineer with 4+ years of experience who gravitates toward complex backend problems, decomposing monolithic systems, hardening distributed architectures, and embedding AI into production workflows where it creates measurable business value. I build and own Java and Spring Boot microservices on AWS that sustain 99.9% uptime across millions of API requests, cut transaction latency by 35%, and push high test coverage across financial and open-science platforms. I bring the same ownership mindset to LLM and MCP integrations as to core backend systems, because the discipline of making AI reliable in production is the same as making any distributed system reliable. I enjoy collaborating across teams to design scalable architectures, deliver robust APIs, and ship production-ready AI features that researchers and customers can trust.

Viswanth Donda

Hi, I’m Viswanth Donda, a software engineer with 4+ years of experience who gravitates toward complex backend problems, decomposing monolithic systems, hardening distributed architectures, and embedding AI into production workflows where it creates measurable business value. I build and own Java and Spring Boot microservices on AWS that sustain 99.9% uptime across millions of API requests, cut transaction latency by 35%, and push high test coverage across financial and open-science platforms. I bring the same ownership mindset to LLM and MCP integrations as to core backend systems, because the discipline of making AI reliable in production is the same as making any distributed system reliable. I enjoy collaborating across teams to design scalable architectures, deliver robust APIs, and ship production-ready AI features that researchers and customers can trust.

Available to hire

Hi, I’m Viswanth Donda, a software engineer with 4+ years of experience who gravitates toward complex backend problems, decomposing monolithic systems, hardening distributed architectures, and embedding AI into production workflows where it creates measurable business value. I build and own Java and Spring Boot microservices on AWS that sustain 99.9% uptime across millions of API requests, cut transaction latency by 35%, and push high test coverage across financial and open-science platforms. I bring the same ownership mindset to LLM and MCP integrations as to core backend systems, because the discipline of making AI reliable in production is the same as making any distributed system reliable.

I enjoy collaborating across teams to design scalable architectures, deliver robust APIs, and ship production-ready AI features that researchers and customers can trust.

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Experience Level

Expert
Expert
Expert
Expert
Expert

Language

English
Fluent

Work Experience

Backend Java Engineer at Sage Bionetworks
August 1, 2025 - Present
Backend Java engineer on the Synapse platform, Sage's open-science data ecosystem serving 7,900+ active researchers across 3.9 PB of governed biomedical data. Architected fault-tolerant Java backend services on AWS ECS with containerized deployment to preserve stateful session control and meet a 99.9% uptime SLA across millions of API requests per month. Designed and deployed an MCP server to expose SynapseChat's LLM capabilities as a structured tool interface, decoupling AI model iteration from service contracts and reducing researcher query resolution time by ~35% for 7,900 MAU. Migrated infrastructure to AWS CDK for repeatable deployments across Glue and Snowflake pipelines, reducing data release cycles by 40%. Built Java REST APIs with Maven and GitHub Actions, and Python-based ETL pipelines on AWS Glue feeding 3.3 PB of biomedical content into the SynapseChat context layer.
Graduate Teaching Assistant at University of Maryland, Baltimore County
January 1, 2025 - August 31, 2025
Supported two graduate courses on distributed systems design and applied AI, mentoring students through production-style software projects. Led technical instruction for SENG 645, designing code review frameworks and system design exercises around microservices and Agile SDLC, guiding 25+ students through end-to-end software engineering workflows. Developed curriculum for SENG 691 on LLM integration, RAG pipelines, and reinforcement learning fundamentals, prioritizing hands-on projects to build practical AI fluency. Mentored capstone teams on integrating LLM APIs and vector retrieval, establishing evaluation rubrics and achieving 100% on-time project delivery.
Associate Software Engineer at Claro Software Solutions
July 1, 2021 - December 31, 2023
Full-stack Java engineer on a financial services platform processing 100K–500K daily transactions. Decomposed a monolithic billing system into independently deployable microservices to improve fault isolation and reduce latency by 35% in production. Implemented REST APIs for claims and policy management with a contract-first design to enforce interface stability across 5+ consuming teams, delivering 100K+ transactions/month with sub-200ms responses. Built React and TypeScript dashboards consuming REST APIs, automated CI/CD pipelines via GitHub Actions and Jenkins, and migrated document ingestion workflows to AWS S3 with OCR integration to improve reliability.

Education

Master of Science, Software Engineering at University of Maryland
January 11, 2030 - May 27, 2026

Qualifications

Oracle Cloud Infrastructure 2025 Certified AI Foundations Associate
January 11, 2030 - May 27, 2026
Oracle Data Platform 2025 Certified Foundations Associate
January 11, 2030 - May 27, 2026

Industry Experience

Software & Internet, Healthcare, Education, Financial Services, Professional Services