.png){kind=logo}
Vetted Confluence Professionals
Pre-screened and vetted.
Mid-level Data Analyst specializing in business intelligence and marketing operations
Senior Technical Program Manager specializing in Azure cloud infrastructure
Senior Full-Stack Engineer specializing in Python, AI, and LLM-powered platforms
Mid-level Full-Stack Python Developer specializing in cloud-native web applications
Mid-level Software QA Engineer specializing in web, API, and test automation
Senior Full-Stack Python Engineer specializing in AI/LLM-powered web applications
Senior Full-Stack Software Engineer specializing in AI/LLM-powered web applications
Senior Backend/Full-Stack Engineer specializing in cloud-native APIs and data platforms
Mid-level Client Success & Project Management professional specializing in SaaS implementations
Senior QA Analyst specializing in web/mobile, API, and non-functional testing
Senior Java Developer specializing in cloud-native microservices and event-driven systems
Senior Full-Stack Engineer specializing in Python back-end systems and scalable web apps
Staff/Lead DevOps & Site Reliability Engineer specializing in cloud infrastructure and Kubernetes
Senior Full-Stack Developer specializing in MERN and scalable web applications
Senior Full-Stack Engineer specializing in Python, React, and cloud-native AI features
Affan Ahmed
Senior Full-Stack & Machine Learning Engineer specializing in scalable SaaS and cloud AI
“Frontend engineer who led an enterprise self-serve analytics dashboard end-to-end using a micro-frontend React/TypeScript architecture with strong integration discipline (contracts, CI gates, ADRs). Demonstrated measurable performance wins (35% faster LCP) through code splitting, lazy loading, and tighter Redux subscriptions, and uses feature flags plus automated E2E coverage for controlled rollouts.”
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.”
Iskhak Ishmakhametov
Mid-level Full-Stack Software Engineer specializing in FinTech and real-time systems
“Full-stack product engineer with a strong real-time systems focus: built and rolled out a WebSocket-based notifications system (with robust reconnect/resync and event ordering protections) that cut update latency to under 200ms. Also owned a workflow automation platform backend in FastAPI (JWT/RBAC, versioned APIs, standardized errors), designed the PostgreSQL schema for workflows/tasks/executions, and operated deployments on AWS ECS Fargate with blue-green CI/CD and performance stabilization via caching and autoscaling.”
Yasaswini Majety
Intern AI/ML Engineer specializing in LLMs, RAG, NLP, and MLOps
“Built and deployed a production RAG-based internal document Q&A system using LangChain, vector search, and a dockerized FastAPI LLM service. Focused on reliability by systematically reducing hallucinations and improving retrieval through prompt grounding/abstention strategies, chunking and top-k tuning, and iterative evaluation with logged metrics and manual validation.”
Kishan Ramani
Junior Game Designer specializing in Unity and Unreal Engine gameplay systems
“UE5 gameplay scripter focused on shipping-quality, player-facing systems in Blueprints—recently built a pickup-and-throw mechanic end-to-end with animation/physics integration, robust edge-case handling, and QA/debug tooling. Emphasizes modular, data-driven architecture for designer-friendly tuning, and uses Unreal/Blueprint profiling plus event-driven patterns to keep systems performant and scalable.”