Akhilesh Kumar Yadav

• As founding engineer, built the MVP from scratch that directly enabled a $1M seed round (South Park Commons-backed). • Built a platform letting non-technical users configure and train custom AI agents on multi-modal data for supply chain automation. • Migrated local ML prototypes to a scalable Azure cloud service by decoupling inference logic from the API layer. • Set up end-to-end Azure infrastructure and CI/CD pipelines, enabling scalable deployments.

• Optimized VLC’s crash reporting backend (Go) by resolving CPU bottlenecks and improving database performance by 40%. • Modernized the architecture by rewriting legacy Go server templates into a responsive Vue.js Single Page Application. • Built internal crash analysis dashboards enabling developers to track and resolve bugs for 100M+ global users.

• Engineered security logic (Go) to verify Signed CoRIM and X.509 chains, ensuring only trusted software runs. • Developed cryptographic modules for multi-level digital signatures, establishing a secure Root of Trust for devices. • Integrated new attestation checks to detect hardware compromises for Confidential Computing environments.

• Engineered the backend of an AI-powered UPSC essay grading system, using OCR and GenAI to evaluate handwritten answers. • Developed express.js APIs to orchestrate document pipelines and automate grade and feedback generation. • Optimized database performance and caching strategies, reducing API response latency by 30%.

• Implemented a comprehensive End-to-End testing suite (TypeScript and Puppeteer) covering 47 Critical User Journeys (CUJs). • Built reusable testing utilities and resolved complex race conditions (flaky tests), ensuring 95%+ CI/CD pipeline stability. • Documented and audited core user workflows, enabling the QA team to detect regressions before they reach production.