Rohith Surya Maturi
Professional Summary
Software Engineer (AI/ML) with 5+ years of experience building backend, distributed, and cloud-native systems for Generative AI, fintech, and SaaS products. Strong hands-on experience with Java and Python backend stacks (Spring Boot, FastAPI), AWS cloud services (Lambda, SQS, API Gateway, S3), and container platforms (Docker, Kubernetes) to deliver resilient microservices and serverless workflows. Designed and shipped production Generative AI integrations using Adobe Firefly, LangChain and Hugging Face Transformers hosted via SageMaker, focusing on inference reliability and prompt engineering. Delivered high-throughput APIs and event-driven pipelines using Kafka and SQS, and implemented persistence with PostgreSQL, Cassandra and Redis. Proven ability to improve latency and deployment velocity through observability and Infrastructure-as-Code (Terraform), and to lead production engineering practices across ML, product, and backend teams.
Technical Skills
Work Experience
- Engineered Java Spring Boot and Python FastAPI microservices to expose REST APIs and OpenAPI contracts, supporting 10,000+ daily requests for Generative AI workflows.
- Implemented S3-backed asset storage, PostgreSQL metadata stores, and Redis caching to accelerate retrieval paths and reduce average response latency by 20%.
- Designed asynchronous request orchestration using AWS SQS and Lambda to scale job processing and decouple prompt ingestion from model invocation.
- Partnered with ML engineers to integrate LangChain-driven prompt orchestration and Hugging Face Transformers hosted on SageMaker for model inference and RAG pipelines.
- Hardened production behavior with idempotent processing, exponential-backoff retries and circuit breakers to improve resilience and decrease unhandled failures.
- Automated test suites (JUnit, pytest, Postman) and Terraform-driven infrastructure deployment in CI/CD pipelines to cut deployment time and rollout friction.
- Translated portfolio management and risk analytics requirements into resilient Aladdin microservices and API contracts consumed by 50+ portfolio and risk teams.
- Engineered Java-based services and Python utilities to expose REST endpoints, improving API response time through targeted performance tuning by 15%.
- Built Cassandra keyspaces and ETL processes to ingest and reconcile high-volume market and portfolio datasets, processing over 1M records daily.
- Implemented Apache Kafka event streams to enable event-driven processing and improved system decoupling for downstream analytics consumers.
- Improved test coverage and CI pipelines through unit and integration tests, increasing coverage and reducing regression risk during releases.
- Containerized services with Docker and deployed on Kubernetes, contributing to CI/CD automation and reducing release cycle time.
- Developed and launched 5+ Freshdesk Marketplace apps using the Freshworks Developer Kit, resulting in adoption by 10,000+ end users.
- Engineered serverless functions and webhook handlers in Node.js to automate ticket-processing workflows and JSON payload transformations.
- Built responsive frontend components with React and HTML5/CSS3 and integrated them with backend endpoints to streamline agent interactions.
- Secured third-party integrations using OAuth and iparams, and added request validation and structured logging to reduce integration defects.
- Managed packaging and release flows through the FDK CLI and Git workflows, resolving 15+ integration issues and maintaining 99%+ application availability.
- Packaged integration tests and performed API diagnostics and release validation to lower post-release defects and support production troubleshooting.
Education
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