Jerusan Jegatheeswaran
I have shipped across fintech, compliance, and legaltech, building everything from trade execution engines to SOC 2 automation platforms. I am a full-stack engineer who owns features end-to-end, with a strong focus on backend architecture and integrating AI into production environments.
Experience
ComplianceOS ↗
Founder // Minneapolis, MN- Built a full-stack SOC 2 automation platform (React + Python) with real-time compliance dashboards and automated control evaluation pipelines, cutting audit prep time from days to hours.
- Shipped Qwen3.5 into production to parse natural language and classify unstructured ticketing data, orchestrating automated evidence collection across identity providers.
- Designed the backend pipeline to integrate across cloud identity providers, significantly reducing manual audit workflows end-to-end without human intervention.
Midpoint Labs
Software Engineer // SF- Architected a high-performance, event-driven Go backend processing 50K+ daily events supporting real-time blockchain request tracking.
- Engineered a custom blockchain listener strategy that eliminated costly third-party API dependencies, reducing external service requests by 80%.
- Designed full-stack observability tooling including user action telemetry and system health monitoring to resolve frontend friction points and optimize system reliability.
Diffuse Funds
Software Engineer // Chicago- Engineered a high-reliability cryptocurrency trade execution engine, optimizing transaction handlers to guarantee trade placement in the earliest available block.
- Built a TypeScript metadata API aggregating smart contract ABIs across 20+ DeFi protocols, cutting new protocol integration time by 80%.
- Automated trade auditing and monthly reconciliation in Python, compressing multi-day manual workflows to ~10 minutes while improving compliance accuracy.
KLDiscovery
Software Engineer // MN- Led a 7-person engineering team to completely overhaul the platform's permission system, delivering enterprise-grade security that directly unlocked large law firm clients.
- Built automated case setup pipelines and a secure cloud storage integration UI, eliminating manual onboarding queues and accelerating customer time-to-value.
- Engineered a multithreaded analytics engine processing 100K+ monthly records to automatically rank and surface reviewer productivity.
Featured Work
Ignis
Engineered a production-grade multimodal AI agent for industrial equipment diagnostics, replacing 48-page manuals with an interactive spatial HUD. Built a multi-model ingestion pipeline (Claude Vision, PyMuPDF) extracting schematics into a 4-layer knowledge architecture, eliminating hallucinations on safety-critical configurations via deterministic custom widgets.
[ source_code ]Dex
Built a voice-based AI interviewer for multi-stage technical assessments with real-time LLM feedback on problem-solving and code quality.
[ source_code ]Reality Layer
An interactive introspective platform integrating Sonar APIs to process natural language inputs, deliver immediate fact-checking, and generate a visual 'Belief Constellation' mapping the interconnections of user thoughts.
ASVec
Engineered an HNSW approximate nearest neighbor search engine in C++ with SIMD vectorization and concurrent graph construction.
[ source_code ]Tech Stack
Contact
Let's build something that scales.
I'm open to roles that solve challenging and interesting problems.