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Vetted MongoDB Professionals
Pre-screened and vetted.
Senior Software Engineer specializing in full-stack systems and cloud platforms
Mid-level Software Engineer specializing in frontend and AI-native web applications
Principal Full-Stack Engineer specializing in cloud-native platforms and FinTech
Junior Full-Stack Developer specializing in web apps and AI-powered automation
Entry-level Software Engineer specializing in backend systems and AI platforms
Senior Full-Stack Engineer specializing in web, mobile, and cloud applications
Senior Full-Stack Software Engineer specializing in cloud-native FinTech and data pipelines
Senior Full-Stack Python Developer specializing in microservices, data engineering, and cloud
Mid-level SaaS Customer Support Specialist specializing in technical support and onboarding
Executive technology leader specializing in crypto, iGaming, and platform engineering
Senior Full-Stack Developer specializing in Python, Django, React, and cloud-native SaaS
Senior Full-Stack Python Engineer specializing in scalable web apps and APIs
Mid-level Frontend/MERN Stack Developer specializing in scalable web applications
Executive Technology Leader (CTO) specializing in E-commerce, SaaS, and AI
Mid-Level MERN Stack Developer specializing in full-stack web applications
Jelson Chacko
Senior Full-Stack Software Developer specializing in web applications and DevOps
“Frontend engineer who led a networking-device simulation PoC into a production-integrated product, designing microservice-style containerized architecture and optimizing massive telemetry streams with WebSockets and Kubernetes-based scaling. Built a React+TypeScript network orchestration dashboard (Platina Command Center) and drove quality/performance through unit/E2E testing with measurable browser/API performance metrics and CI/CD automation for rapid monthly releases.”
Jonathan McGrath
Senior Full-Stack/AI Engineer specializing in mobile and web product development
“Built an end-to-end mobile + web Q&A marketplace connecting users with professionals, including real-time chat and Stripe-based monetization (products/subscriptions). Hands-on with scaling Firebase/Firestore (subcollections, composite indexing, pagination) and mobile caching/sync challenges. Also created an internal AI-driven report generator that turned chatbot outputs into curated graphs and PDFs for marketing, iterating based on stakeholder feedback.”
Punith Jayaramu
Mid-Level Full-Stack Software Engineer specializing in FinTech and Mortgage systems
“Full-stack engineer with deep AWS serverless and reliability experience in fintech/underwriting systems, including eligibility scoring and dynamic rule deployments. Built and productionized an LLM-powered incident RCA assistant (Bedrock Claude 3 + custom RAG + React) achieving 92% precision and ~75% MTTR reduction, with mature guardrails (evals, drift monitoring, HITL, audit logs) and strong operational rigor (canaries, chaos testing, DLQ remediation).”
Mid-level Full-Stack Engineer specializing in cloud-native Java microservices
“Software engineer using AI pragmatically to accelerate development while keeping human review central to quality. Has hands-on experience applying AI and lightweight multi-agent workflows in a microservices environment spanning Java Spring Boot APIs, React modules, and Kafka event flows, with strong emphasis on architecture validation and production safeguards.”
Adithya Gururaj
Junior AI Engineer specializing in agentic AI, RAG, and voice/telephony systems
“LLM/agent engineer who has built production multi-agent systems (LangChain/LangGraph) for enterprise workflows like email and calendar automation, with a strong focus on latency, tool-calling accuracy, and evaluation via LangSmith. Also worked on AI long-term memory using knowledge graphs at VEAI and communicated the approach and tradeoffs to CEO/CTO stakeholders.”