skushagra9
Technologies: Python, TypeScript, Node.js, Go, LLMs (OpenAI, Claude, Codex), PostgreSQL, Redis, DuckDB/MotherDuck, MongoDB, Kafka, WebSockets, AWS, Docker, Kubernetes, Terraform, GitHub Actions
Résumé/CV: https://github.com/skushagra9
Email: [email protected]
Note: Full-stack + systems engineer (~4 yrs) focused on AI agents, distributed systems, and high-performance backend infra.
– Built Atlas, an agentic system that autonomously triages and resolves CSM workflows across Slack/Linear/GitHub, reducing support load by ~80% – Led Absinthe Adapters, a multi-chain indexing platform (EVM + Solana) serving production workloads – At Filament Finance, reduced order latency from ~2000ms → 84ms in a multi-cluster trading system
I enjoy building end-to-end systems where performance, reliability, and automation directly impact real-world operations.