Adam Nowak
I'm Adam Nowak, a Senior Software Engineer specializing in building high-performance, secure, and scalable full-stack platforms.
About
I’m Adam Nowak, a Senior Software Engineer specializing in building high-performance, secure, and scalable full-stack platforms. Over the past decade I have delivered multi-tenant SaaS, modernized monoliths into microservices, and led cloud-native deployments on AWS with Kubernetes. I thrive on translating complex business requirements into practical, maintainable architectures and mentoring teams to raise delivery quality and velocity.
I enjoy applying applied AI features such as LLM-assisted workflows and semantic search to empower knowledge discovery and faster decision-making. Beyond coding, I drive reliability through observability, CI/CD automation, and robust security practices, while contributing to a positive, collaborative engineering culture.
- 10 years' experience
- Joined December 2025
Industry experience
- Software & Internet
- Professional Services
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Work experience· 7 roles
Owned delivery of a multi-tenant SaaS product with React and Next.js (SSR/ISR); designed service boundaries and migrated monolithic workflows into containerized microservices (Python/Django/Flask, Node.js, Java Spring Boot, .NET Core) to enable independent scaling and safer releases. Implemented event-driven processing with Kafka and RabbitMQ; ensured reliability with idempotency keys, retries, and DLQ patterns. Built applied AI capabilities (LLM/NLP) including summarization, classification, and semantic search; implemented RAG pipelines with embeddings and vector indexing using LangChain. Created secure REST and GraphQL APIs with strict validation, pagination, rate-limiting, and consistent error contracts; improved performance and reduced client over-fetching.
Led modernization of web apps using React.js, Next.js, and GraphQL; migrated legacy monoliths to containerized microservices on AWS; built production-grade mobile app in React Native with Firebase; implemented secure authentication (OAuth2/JWT), canary deployments, CI/CD with GitHub Actions; improved caching, observability, and performance.
Delivered a data-intensive analytics SaaS platform using TypeScript/React on the frontend and Python/Node.js services on the backend to support enterprise reporting and dashboards. Built ingestion and transformation services in Python and Java that processed high-volume telemetry, including schema evolution, validation, deduplication, and backfills. Designed performant data access layers on PostgreSQL and Redis, tuning indexes and query plans; reduced expensive report execution time by up to ~30%. Implemented asynchronous job orchestration for batch reports and scheduled analytics, added GraphQL for complex read use-cases, and introduced ML-assisted enrichment to improve data quality.
Education
Certifications and awards
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