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Vetted Audit Logging Professionals
Pre-screened and vetted.
Senior Full-Stack Engineer specializing in cloud-native microservices and FinTech systems
Senior Software Engineer specializing in cloud-native microservices and distributed systems
Senior AI Engineer specializing in Generative AI and cloud-native ML platforms
Mid-Level Full-Stack Software Engineer specializing in backend systems and event-driven architecture
Mid-level Full-Stack Software Engineer specializing in scalable web apps and payments
Mid-level Full-Stack .NET Engineer specializing in cloud, APIs, and data analytics
Senior Full-Stack Software Engineer specializing in FinTech and Healthcare IT
Senior Full-Stack Developer specializing in MERN, cloud platforms, and LLM-powered applications
Mid-Level Full-Stack .NET Engineer specializing in cloud, APIs, and data analytics
Akash Mishra
Mid-level Data Engineer specializing in ETL pipelines on GCP
“Full-stack engineer from Larix Technologies who led a Next.js migration feature: an internal real-time workflow status dashboard built with App Router/TypeScript using server components for initial render and client polling for live updates. Demonstrates strong post-launch ownership—monitoring latency/error rates, adding caching and payload reductions, and optimizing Postgres queries/indexes—plus experience building durable RabbitMQ-based message routing workflows with idempotency, retries, and dead-letter queues.”
Trilok Kambham
Junior Full-Stack Developer specializing in React, Node.js, and AI/LLM integrations
“Full-stack developer who owned and shipped an end-to-end web application for LeafNBeyond (React/Node/Postgres), deployed to production at leafnbeyond.com, with reported 35% sales growth and strong UX feedback. Also built Azure-based ETL pipelines using lakehouse/medallion architecture with validation and retry logic, and has AWS fundamentals from a master’s coursework (EC2, RDS, IAM, load balancing).”
Akarshika Tripathi
Mid-level Python Developer specializing in backend microservices and distributed systems
“Python backend developer from Larix Technologies who built and scaled microservice APIs for an omnichannel messaging SaaS (WhatsApp/Instagram/Facebook) and led production performance fixes during peak traffic, cutting webhook latency ~50%. Also shipped applied AI products end-to-end: a RAG-based PDF assistant (LangChain + Mixtral via Groq + React) and a BI agent that plans/executes/verifies multi-step analytics with strong guardrails and auditability.”
Mid-Level AI/Full-Stack Engineer specializing in conversational AI and SaaS products
Junior Full-Stack Software Engineer specializing in scalable web apps and APIs
Mid-Level Software Engineer specializing in distributed microservices and cloud-native systems
megersa biratu muleta
Mid-level Software Engineer specializing in backend APIs and full-stack web apps
“Frontend/full-stack engineer who has built and scaled multiple national/government platforms in Ethiopia, including an unemployment registration system and a national ID (Fayda) admin/billing dashboard handling contracts, tariffs, inventory, and high-concurrency billing workflows. Strong in React/TypeScript architecture (atomic design, Context/hooks, strict typing) and in integrating identity verification/biometrics-driven business logic with phased rollouts and audit-driven iteration.”
Mid-Level Frontend/Full-Stack Developer specializing in React and government & healthcare web apps
Jaiden Kettleson
Entry-Level Full-Stack & AI Engineer specializing in chatbots and web apps
“Data Science honors graduate (Maryville University) who has built Python/SQL backends and a capstone website handling sensitive user data. Emphasizes secure data handling (password encryption, secure database updates) and uses Git/GitHub Pages with CI/CD-style practices for managing and deploying changes.”
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).”