Engineering data-native AI systems.

Backend & Infra

• +Built and deployed secure REST APIs in Node.js with OAuth and AWS Cognito for role-based access control (RBAC).
• +Designed scalable system architecture and a reverse proxy solution for resilient dynamic routing and high availability.

Backend & Infra

• +Designed a modular API framework that integrates evolutionary algorithms and LLM-driven optimization logic for automated system self-improvement.

AI & Data

• +Implemented robust data persistence layers and vector store integrations for low-latency state management in real-time AI context processing.

Frontend & DX

• +Developed full-stack AI memory platform with React/Next.js and FastAPI backend.

Backend & Infra

• +the-convergence: architected multi-armed bandit systems to balance exploration and exploitation across agent societies, improving decision accuracy.

AI & Data

• +vector-native: implemented native-level memory management for embeddings, reducing latency in vector similarity searches and nearest-neighbor calculations.
• +vector-native: optimized data ingestion pipelines enabling real-time indexing of unstructured data for large-scale RAG systems.

Frontend & DX

• +the-convergence: built an API optimization framework using evolutionary algorithms and Thompson Sampling to automate hyperparameter tuning for LLMs.
• +Weavehacks-2: Reinforcement Learning Track winner; Built an API optimization framework and self-improving policy networks to generate training data.