I build systems — from mobile interfaces to backend infrastructure, production DevOps, and ML pipelines that run at scale.
Currently a Software Engineer at Zenbase Technologies (Singapore), where I architect DevOps infrastructure and event-driven backend workflows for AI agent capabilities — production systems built on Dockerized monorepos, async callback workers, and real-time API integrations.
Previously an Entrepreneur in Residence at iHub-AWaDH (IIT Ropar), where I led the technical development of an Agri-Tech venture — translating research into deployable products, defining system architecture, and presenting roadmaps to high-level government delegations.
On the research side, I have a first-authored workshop paper accepted at ICLR 2026 (a CORE A* venue). My research sits at the intersection of time series forecasting and retrieval-augmented systems — with a focus on making the case for architectural choices over naive scaling.
My work lives at the intersection of systems engineering, infrastructure, and applied research. I care about building things that are correct, maintainable, and don't collapse under real load.
Core: Flutter / Dart, Rust, C/C++, Node.js, React / Next.js
Infrastructure & DevOps: Docker, AWS, CI/CD, Redis, PostgreSQL, NGINX
ML & Systems: Python, HPC infrastructure, retrieval-augmented pipelines
Also explored: Solidity, low-level networking, WebAssembly, systems tooling
I pick tools based on what the system actually needs, not what's trending.
I write about systems, architecture decisions, infrastructure experiments, and sometimes things that don't compile cleanly into code.
My technical blog covers deep breakdowns and post-mortems. My personal essays live at rishia.in/blog — less structured, more honest.
Find me:
rishia.in • LinkedIn • rishia.it.24@nitj.ac.in