.png){kind=logo}
Vetted Material UI Professionals
Pre-screened and vetted.
Meet Merchant
Mid-level Software Engineer specializing in LLM agents and full-stack systems
“At Esri, the candidate is building a production LLM-powered WebGIS AI framework that embeds an AI assistant into web maps and routes natural-language requests into ArcGIS JavaScript SDK functions via a LangGraph-orchestrated, multi-agent system. They emphasize production reliability and scale (strict tool calling/JSON, live schema validation, query guardrails) and rigorous evaluation/observability using LangSmith, offline prompt datasets, and latency/tool-call accuracy tracking.”
mahesh narne
Senior Full-Stack Software Engineer specializing in cloud-native microservices and web apps
“Backend-focused engineer building customer support/order-tracking platforms with Java 17/Spring Boot microservices and a React/TypeScript frontend. Deep experience running event-driven systems on Kubernetes (Kafka, Redis, MySQL) with strong observability (Prometheus/Grafana/Splunk), SLOs, and safe deployment practices (feature flags, canaries). Also built an internal monitoring/debugging dashboard that consolidated metrics and logs for on-call engineers and was adopted by other teams to speed incident response.”
Shon Little
Director-level Software Engineering Leader specializing in AI platforms and full-stack cloud systems
“Engineering leader with BCG consulting background who has built roadmaps and scaled AI and data platforms for pharma and manufacturing clients. Led architecture shifts (Django monolith to event-driven microservices) for high-volume IoT SaaS products, improving deployment speed and enabling zero-downtime releases. Also established a near-shore engineering team in São Paulo and has managed distributed teams across multiple countries, leveraging strong stakeholder communication and a prior professional acting background for storytelling.”
Mid-Level Full-Stack Software Engineer specializing in microservices and fraud detection
Mid-level Full-Stack Developer specializing in Python, React, and cloud-native AI microservices
Mid-Level Software Engineer specializing in full-stack TypeScript/React and platform tooling
Senior Software Engineer specializing in web and mobile applications
Mid-Level Software Engineer specializing in cloud-native backend and LLM/RAG systems
Mid-Level Full-Stack Software Engineer specializing in FinTech and EdTech
Senior Software Engineer specializing in backend microservices and AI/ML integrations
Mid-level Frontend Software Engineer specializing in React and cloud-integrated web apps
Mid-level Full-Stack Developer specializing in Java microservices and React on AWS
Senior Software Engineer specializing in backend systems and AI-driven automation
Mid-level Full-Stack Developer specializing in cloud-native FinTech platforms
Mid-level Full-Stack Developer specializing in AWS, Python/FastAPI, and React
Mid-Level Full-Stack & Cloud Engineer specializing in scalable distributed systems
Akshay Bharadwaj
Senior Software Engineer specializing in React, TypeScript, and scalable web applications
“Full-stack engineer with production experience building and owning high-traffic e-commerce checkout flows in Next.js (App Router) + TypeScript across microservices (REST/GraphQL). Demonstrated measurable performance wins (30% checkout improvement; 85% initial load reduction at 20th Century FOX) and strong production rigor (APM/logs, CloudWatch, Postgres indexing + EXPLAIN ANALYZE), including offloading PDF generation to AWS Lambda.”
Mithilesh Gaurihar
Mid-Level Software Engineer specializing in Java microservices and cloud-native systems
“Full-stack engineer (SAP Labs experience) who built an end-to-end, real-time fraud detection system on Java 11/Spring Boot microservices with Kafka event streaming and a React/Redux analytics dashboard with WebSocket updates. Demonstrated strong production ownership by diagnosing a critical memory leak with Prometheus/CloudWatch + heap dumps and improving performance with Redis caching (40% faster queries), while also modernizing deployments via Kubernetes, Jenkins CI/CD, and Terraform.”