jigar pariyar — Full Stack Engineer

I am a Lead Full Stack Engineer specializing in architecting, scaling, and optimizing high-performance applications and deterministic AI-driven quantitative platforms. I thrive in high-stakes environments—recently stepping in as the sole backend engineer to stabilize a crashing fintech platform, scaling it to over 25,000 active users, and independently launching a complete real-time crypto trading vertical. My core expertise lies in the MERN stack (Node.js, React, MongoDB) alongside high-scale infrastructure tools like Redis and WebSockets. I don't just write code; I own the end-to-end product lifecycle, from data ingestion to LLM inference. Recently, I architected Project YuJiDi, a real-time quantitative analytics engine. I successfully bridged high-frequency market data with applied AI by building a deterministic Retrieval-Augmented Generation (RAG) pipeline. By engineering Node.js services to calculate statistical anomalies (like 60-second volume deltas) as strict circuit breakers for Llama 3.0, I created a system that translates raw order-book telemetry into semantic insights while entirely mitigating LLM hallucinations. ⚡ Technical & Architectural Highlights: • AI & Quantitative Pipelines: Engineered sub-second RAG architectures that synthesize high-frequency WebSocket streams into actionable, compliance-driven data analytics. • Performance Optimization: Dropped API latency by 80% (achieving strict sub-100ms SLAs) through comprehensive Redis caching and MongoDB query optimization. • System Resilience: Re-architected Firebase push notification systems from scratch to seamlessly handle 25K+ concurrent users with zero message loss. • Fintech Execution: Engineered ultra-fast, multi-broker trade execution pipelines utilizing deep-linked notifications and real-time socket feeds. • I am passionate about building for early-to-growth stage startups, particularly in fintech, developer tools, and high-scale consumer apps. I am currently seeking fully remote opportunities globally.

Stackforce AI infers this person is a Fintech Full Stack Engineer with expertise in high-performance applications.

Location: Mumbai, Maharashtra, India

Experience: 5 yrs 9 mos