Rishit Guleria

I build production AI systems for startups that need things shipped, deployed, and working yesterday. I’m a BCA (AI) student, but I don’t operate like one. I design and deliver end-to-end AI products used in real workflows: backend APIs, LLM integration, cloud deployment, observability, and cost control. No demo-only projects. No tutorial clones. My current work focuses on: AI SaaS systems with real users LLM-powered automation, support, and knowledge extraction Multi-tenant backends with auth, usage tracking, and failure handling Cost-aware AI pipelines (token usage, latency, infra spend) I’m comfortable owning the full stack: Backend: Node.js, REST APIs, Python, FastAPI , c++ AI: LLM integration, embeddings, vector databases, prompt engineering Infra: Docker, Linux, CI/CD, cloud deployments (AWS/GCP), monitoring & logs Frontend (enough to ship): React, modern JavaScript , typescript I work like an early-stage engineer: vague requirements, fast iteration, clear documentation, and zero hand-holding. I care about correctness, performance, and systems that survive real usage. What I’m looking for Remote role with an AI startup (Seed / Series A / Series B) Paid internship or contract role in the $2k–$4k/month range Direct collaboration with founders or CTOs Ownership, not busywork If you’re building an AI product and want someone who can execute independently and reduce your workload, I’m open to conversations