Krish Jotaniya

I’m an SDE 1 who builds end-to-end products that balance speed, reliability, and clean architecture. At Certus Capital, I architected an AI-driven report generation pipeline that processes structured user data into formatted targeting reports—reducing manual effort end-to-end.

I also designed and implemented a multi-level approval workflow engine with configurable stage transitions and a CRM module supporting lead ingestion from 5+ data sources. Along the way, I rebuilt the Customer Portfolio Dashboard by refactoring for reusability and improving rendering performance across data-heavy views.

Earlier, as an SDE Intern, I engineered a granular RBAC system enforcing access control at both page and action levels with middleware-integrated permission checks. I built full audit logging that records before/after state diffs on every mutation and implemented a state-machine-driven support ticketing module with automated, queue-based email notifications.

Before that, I worked as a Full Stack Intern—integrating REST APIs with third-party SDKs for a FinTech product, and improving IBMEDU API performance by 80% (1000ms to 200ms) using query restructuring and server-side caching. I bring this same momentum to my projects, including a multi-agent mutual fund orchestration system (LangGraph/LangChain/GPT-4o) with strict scope control, plus mobile and admin apps that automate workflows and keep users productive offline.