Vetted Java Professionals

“Full-stack engineer who has delivered production customer analytics/dashboard features using Next.js App Router + TypeScript on the frontend and Java Spring Boot microservices on the backend. Demonstrates strong production ownership (monitoring latency/error rates/adoption) plus hands-on performance work across React rendering and Postgres query/index optimization, and has implemented Temporal-like durable workflows with retries and idempotency.”

“Built and deployed a production RAG-based clinical decision support assistant at MedLib, focused on fast, trustworthy answers from large medical documents. Demonstrates deep practical experience improving retrieval accuracy (semantic chunking + metadata-aware search), controlling hallucinations with grounded generation and thresholds, and adding clinician-requested citations using chunk metadata, with evaluation driven by healthcare professional review.”

“Data/ML platform engineer with ~6 years in financial services and enterprise data platforms, building regulated fraud/credit-risk pipelines on AWS (Airflow, EMR/Spark, MLflow) and an Azure lakehouse ingesting 50+ sources and serving ~100M records/day. Also led an early-stage deployment of a RAG-based internal AI search tool using AWS Bedrock and LangChain with automated evaluation to validate LLM accuracy.”

“Full-stack engineer with deep ad-tech/marketing automation experience, building production tools that reduce programmatic ad waste and improve search ads performance. Shipped and operated AWS-deployed, Dockerized systems with Postgres/Redis and strong observability (Datadog/OpenTelemetry), and delivered measurable impact (25k campaigns processed, 50k sites negated, 3–4 hours/week saved). Built scalable abstractions for multi-platform ad integrations, enabling rapid onboarding of additional clients.”

“Robotics competition (ABU Robocon) team member who programmed two robots for a rugby-style game, integrating IoT sensors and real-time decision-making. Implemented low-latency, secure inter-robot communication by moving from Bluetooth to ESP8266/NodeMCU WiFi (with Bluetooth as backup) and used OpenCV plus CNN training workflows for vision-related tasks; no practical ROS/ROS2 experience.”

“Backend engineer with hands-on experience building distributed data and API platforms (Kafka + Neo4j on Kubernetes), including processing 3M+ NYC taxi trip records and achieving sub-second graph analytics queries. Strong focus on reliability and performance in Python/FastAPI systems—async refactors, caching, timeouts/retries, feature-flagged rollouts, and JWT/RBAC security for production services.”

“Customer-facing software engineer who builds and deploys practical AI/RAG solutions (e.g., an AI assistant for searching billing PDFs) by deeply understanding support workflows and iterating with users. Demonstrates strong production instincts—quickly stabilizing peak-traffic API timeouts with caching/background jobs, then implementing durable fixes with proper monitoring and maintainable code practices.”

“Unity/VR solo developer with hands-on Meta Quest shipping experience, including an AI-driven anatomy education app using ElevenLabs narration. Spent ~3 years at Brazil-based Pixel SAV building interactive VR experiences, notably a Volvo VR crash test simulation that synchronized VR animations with a custom haptic chair for immersive physical impact simulation.”

“Full-stack engineer who built a real-estate professional marketplace platform (Maison) end-to-end as the sole engineer, including a multi-portal Next.js/React architecture, real-time WebSocket collaboration, Prisma/Postgres data modeling, and Stripe subscription billing. Also modernized a government disability case-management system from legacy VB.NET to an Angular + Spring Boot web app, citing measurable performance and workflow improvements.”

“UK-based Unity developer who has shipped three Meta Quest VR simulation applications as the sole developer/lead at Atticus Digital (clients include PASMA, Welsh Water, and Saudi Aramco). Also built and shipped a fully solo 3D action-adventure platformer for Nintendo Switch (The Bee Hive, Nov 27, 2025), demonstrating end-to-end ownership across engineering and design under tight hardware constraints.”

“Unity game developer who implemented a blockchain/NFT feature in a mid-core football game, including wallet connection via an external web portal and backend coordination for trading player skins/outfits. Has cloud-focused networking experience (AWS/Firebase) primarily for turn-based multiplayer systems and uses Copilot/VS Code to accelerate boilerplate and architecture exploration.”

“Junior Software Developer with a master’s in Interactive Media who studied XR and built a personal VR space. Already uses AI tooling (Windsurf Cascade) in day-to-day development for feature support and debugging, and is seeking a more structured, mentored environment while ramping into Unity/Meta Quest work.”

“Unity/VR gameplay programmer who built a gesture-driven stationary locomotion/teleport feature for a VR tennis eSports title at VRML, enabling players to reposition to predicted ball impact without using controller buttons. Has multiplayer/networking exposure via Photon Quantum and Photon Fusion (BadFly) and works as a generalist solo developer leveraging AI tools for rapid asset creation and code cleanup.”

“Real-time VFX artist currently working on Tomo Endless Blue, focused on improving combat feedback and gameplay readability through hit VFX. Experienced in Unity (Shader Graph, VFX Graph, Particle System) and performance-conscious techniques, including replacing heavy particle setups (e.g., falling leaves) with GPU-driven low-poly mesh + shader solutions, iterated through QA/playtests and tracked in Jira.”

“Frontend engineer who led end-to-end delivery of a financial data grid and optimized it to handle millions of rows using batching and progressive rendering. Experienced modernizing legacy Razor UIs into maintainable React + TypeScript implementations, leveraging React Query and Jotai, and shipping via incremental builds and feature toggles with close QA/client collaboration.”

“Forward Deployed Engineer at EasyBee AI who productionized a self-storage customer’s multi-agent LLM system end-to-end—rebuilding it with LangGraph/CrewAI, integrating with real property management + CRM systems via an MCP server, and adding observability/guardrails for reliable daily use. Experienced in live troubleshooting of agentic workflows, developer demos/workshops (including an open-source project, MerryQuery), and partnering with sales to close deals through customer-specific technical demos and fast integration feedback loops.”

“Recent research master’s graduate who built a Python backend for an interconnected RabbitMQ/MQTT system, including automation, benchmarking, and network-link optimization between brokers. Has hands-on edge computing experience (lightweight Kubernetes on a ~40 Raspberry Pi IoT cluster) and made architecture decisions for real-time streaming by evaluating Kafka and ultimately choosing Apache Storm.”

“Backend-focused engineer who built an academic AI voice assistant with a Python microservice-style backend (speech recognition, spaCy-based NLP, and Kafka-driven automation) optimized to sub-500ms latency. Also has Sodexo internship experience deploying containerized services across Kubernetes/AWS ECS/Azure using ArgoCD GitOps, including solving config drift and secret-management challenges and supporting cloud-to-on-prem migrations with blue-green rollouts.”

“Fintech-focused mobile engineer who built and shipped a mobile wallet to both iOS and Android app stores, implementing biometric login and AI-driven KYC (face + ID verification). Demonstrates strong customer feedback loops and production problem-solving, including resolving iOS version-specific third-party AI integration issues and improving payment UX by moving from synchronous to asynchronous processing.”

“Full-stack engineer from Clairvoyant who led end-to-end delivery of a cloud-native, event-driven platform: Spring Boot microservices + Kafka real-time streams with an Angular UI, migrated and containerized on AWS, and automated CI/CD with Jenkins/Maven/Git. Demonstrates depth in distributed consistency challenges (partitioning, consumer lag/duplicates) and database performance tuning across SQL/NoSQL under heavy workloads.”

“Data scientist who has built production LLM agents (GPT-4o + LangChain + RAG) to automate analyst-style ad hoc CSV analysis with guardrails and GPT-as-a-judge evaluation. Also delivered an explainable healthcare NLP system for ICD code classification by collaborating closely with clinicians, using a hybrid rule-based decision tree + BERT model to reach 97% accuracy and cut manual review time.”

“Startup-focused builder who created and iterated an MVP for Enky, a two-sided marketplace connecting music artists and creators, informed by hundreds of customer interviews. Implemented CI/CD, monitoring (PostHog/Sentry), and a complex payout pipeline involving scraping social platforms and routing escrow payments via Stripe, and has a track record of quickly debugging production issues (e.g., iOS-specific OAuth cookie failures).”

“Software/automation QA professional with hands-on Oculus VR testing at Telkom, covering controller inputs, tracking reliability, performance/FPS stability, thermal behavior, crash reproduction, and system-level events (standby/resume, low battery, network interruptions, guardian changes). Familiar with the intent and coverage areas of console certification frameworks (Sony TRC/Microsoft XR/Nintendo LOTcheck) and uses AI to speed up log analysis and test case creation.”