jigar pariyar@jigarpariyar18

About me

Lead Full Stack Engineer specializing in architecting, scaling, and optimizing high-performance applications and AI-driven quantitative platforms. Experienced in stabilizing and scaling fintech systems under high-pressure environments, including taking over as the sole backend engineer for a failing platform and scaling it to 25,000+ active users while independently launching a real-time crypto trading vertical. Core expertise includes the MERN stack (Node.js, React, MongoDB), Redis, WebSockets, distributed systems, and real-time data processing. Strong ownership mindset across the full product lifecycle—from data ingestion and backend architecture to AI inference and deployment. Recently architected Project YuJiDi, a real-time quantitative analytics engine that bridged high-frequency market data with applied AI. Built a deterministic Retrieval-Augmented Generation (RAG) pipeline using Node.js services to calculate statistical anomalies such as 60-second volume deltas as strict circuit breakers for Llama 3, enabling semantic insights from raw order-book telemetry while eliminating LLM hallucinations. Technical Highlights: • Engineered sub-second AI and quantitative pipelines that transform high-frequency WebSocket streams into actionable analytics. • Reduced API latency by 80%, achieving sub-100ms SLAs through Redis caching and MongoDB optimization. • Rebuilt Firebase push notification infrastructure to support 25K+ concurrent users with zero message loss. • Designed ultra-fast multi-broker trade execution systems using deep-linked notifications and real-time socket feeds. • Experienced in scaling early-stage startup products across fintech, developer tools, and consumer applications. Currently seeking fully remote global opportunities where I can contribute to building scalable, high-impact products and AI-powered systems.

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