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Vetted Audit Logging Professionals
Pre-screened and vetted.
Muhammad Midhat
Senior Full-Stack/Backend Engineer specializing in APIs, distributed systems, and AI integrations
“AI/backend engineer who has built and scaled production LLM-powered SaaS features (document assistant + compliance review agent) on a Node.js/TypeScript + Postgres/Redis stack deployed to GCP Kubernetes. Demonstrates strong production reliability chops—async queueing, autoscaling, observability, and database tuning—with quantified wins (p95 latency -60%, query 4s to <200ms) and robust AI guardrails (strict RAG, schema validation, citations, HITL).”
Svitlana Koval
Mid-Level Software Engineer specializing in desktop applications and legacy modernization
“Full-stack engineer working on a medical practice SaaS, who owned an end-to-end charge entry module handling patient charges/payment workflows and complex client-side data transformations. Also built a fintech rating platform with real-time WebSocket streaming and TradingView-based charting, and has 10 years of university experience mentoring student "startup" capstone projects under tight deadlines.”
Entry-level Software Engineer specializing in AI/ML and cloud backend systems
Senior Frontend Engineer specializing in FinTech and real-time React platforms
Galvin Mendonca
Entry-level Full-Stack Engineer specializing in AI, web, and mobile development
“Front-end/product engineer who fully owned and built the Rouge Dashboard, an internal enterprise SaaS platform consolidating 11 AI-powered tools for five business units at Rouge International. Particularly strong in browser-based UI architecture for AI and CRM-heavy workflows, with proven adoption from 25 of 27 non-technical stakeholders and zero role-based access breaches.”
Mid-level Systems Architect specializing in institutional trading infrastructure
Mike Fernandez
Mid-Level Software Engineer specializing in cloud data platforms and CI/CD
“AI/LLM engineer who has owned end-to-end production delivery of multi-agent RAG systems on Azure (React + FastAPI + data pipelines + Terraform), including rigorous evaluation/monitoring and reliability guardrails. Shipped an AI-driven observability root-cause analysis assistant that reduced MTTR ~30%, cut alert noise ~20%, and reached ~70% adoption in the first month; also built a clinical document Q&A system with citations and compliance-oriented controls.”
Intern Full-Stack Software Engineer specializing in backend and real-time applications
Madireddy Sai Prasad Reddy
“Full-stack engineer who has owned workflow-builder/editor products end-to-end, including multi-tenant graph validation platforms built with TypeScript/React and Node. Experienced designing microservices with RabbitMQ/SQS-style queues (idempotency, retries, DLQs) and building internal admin CMS tools (SvelteKit + FastAPI) that replaced manual spreadsheet processes and became the operational source of truth.”