Flagship System
Englivo - The AI Fluency Engine
Product Engineer • Vaidik Eduservices
An AI-native environment where users receive instantaneous feedback on grammar, pronunciation, and pace.
1. The Market Insight
Through extensive market research and competitive analysis of existing EdTech platforms, I identified a critical gap: while many apps focus on vocabulary, they fail to address "Speaking Latency" - the cognitive delay between thought and speech.
Interviews with language learners revealed that traditional solo practice lacks the real-time feedback necessary to reduce this hesitation in high-pressure conversations.
If learners receive immediate, AI-driven feedback during speech, they can close the "fluency gap" faster than through passive learning.
2. Product Strategy & Prioritization
Build an AI-native environment where users receive instantaneous feedback on grammar, pronunciation, and pace.
Prioritized a "Zero-Latency" feedback loop as the MVP, focusing on real-time transcription and correction cycles.
Moved away from standard solutions to more robust, scalable infrastructure: • LiveKit: Chosen for high-performance, real-time audio streaming to ensure the feedback loop feels "human-speed." • Clerk: Integrated for secure, frictionless user authentication and management.
3. Engineering Execution
Built a relational data model on PostgreSQL, hosted on Neon, to ensure data integrity and performance during high-concurrency usage.
Leveraged Generative AI (Claude/Gemini) to analyze spoken inputs and provide empathetic, high-quality corrections.
Used Next.js and TypeScript within Cursor/VS Code to move from a research concept to a functional production-grade application in a high-velocity sprint.
Applied QA protocols inspired by my work at Vaidik Eduservices to ensure AI-generated responses met strict educational standards.
4. Measurable Outcomes
Successfully transformed unstructured user feedback into a production-ready system that targets the specific "Speaking Latency" problem.
The combination of LiveKit and Neon demonstrates an ability to architect systems that can scale to meet the requirements of top-tier partners like TELUS International or Tech Mahindra.
Englivo now serves as the benchmark for how I merge Market Intelligence with high-performance engineering to solve validated business problems.