Software Engineer — Full-Stack, AI Systems & Distributed Infrastructure
💻 Distributed Systems | 🤖 Applied AI & LLM Pipelines | ☁️ Cloud Architecture & DevOps | ⚡ High-Throughput APIs

• 🧠 Senior full stack engineer experienced with building architecture and scaling production-grade distributed systems, real-time data pipelines, and applied AI/ML infrastructure.
• 🚀 Specialized in building multi-tenant SaaS platforms, low-latency feature-flag evaluation engines at global scale, and robust LLM evaluation/RAG pipelines.
• ⚙️ Deep expertise bridging heavy backend systems (TypeScript, Python, Node.js, PostgreSQL, Redis) with modern cloud-native infrastructure (Docker, Kubernetes, AWS).
• 🌟 Active core open-source contributor and merged PR author for Prisma ORM (prisma/orm PR #29718).

• Languages: TypeScript, JavaScript (ES2024), Python, SQL
• Frontend Architecture: React, Next.js, Redux Toolkit, Zustand, React Query, Tailwind CSS, shadcn/ui

• Backend & APIs: Node.js, NestJS, Express, FastAPI, GraphQL, tRPC, REST, WebSockets, Microservices
• Data Infrastructure: PostgreSQL, Redis, MongoDB, MySQL, DynamoDB, Prisma, Drizzle ORM

• Cloud (AWS & GCP): AWS (ECS, EKS, Lambda, EC2, S3, RDS, CloudFront), GCP (GKE, Cloud Run, Pub/Sub)
• Containerization & IaC: Docker, Kubernetes, Terraform, GitHub Actions, GitLab CI, Jenkins
• Observability: Datadog, Honeycomb, New Relic, Prometheus, Grafana, Loki, Sentry, Distributed Tracing

• LLM Infrastructure: OpenAI API, Anthropic Claude SDK, LangChain, RAG Architecture, Embeddings, Vector Databases (Pinecone, Weaviate, FAISS)
• Applied Machine Learning: PyTorch, scikit-learn, Hugging Face Transformers, NumPy, Pandas, MLflow, Model Serving & Drift Monitoring

• Frontier LLM Evaluation Pipelines: Designed distributed microservices (Node.js, Python, GraphQL) coordinating data-generation workflows for frontier model training, implementing token-cost tracking and Redis caching for real-time visibility.
• Global Low-Latency Flag Engine: Architected distributed flag-delivery systems utilizing PostgreSQL as source-of-truth, Redis caching layers, and Nginx load balancing to achieve sub-millisecond lookups at global scale.
• Autonomous Agent & ML Infrastructure: Built multi-step autonomous agent systems cutting operational workflow overhead, along with model-serving infrastructure (FastAPI, PyTorch) for low-latency production inference.

• Prisma ORM (prisma/orm): Authored a merged fix ensuring invalid Date values passed to $queryRaw and $executeRaw correctly throw a clear PrismaClientValidationError instead of failing obscurely.

🔎 Exploring high-impact Engineering Roles, AI Systems Architecture, and Distributed Infrastructure opportunities.
💬 Reach out via email or X for professional collaborations.