Vetted Firebase Professionals

“Frontend engineer focused on scalable React + TypeScript dashboards and workflows, using feature-based architecture and a reusable component/hook approach. Has hands-on experience improving performance in table-heavy admin UIs (pagination, lazy loading) and shipping major features quickly with staging/manual QA, gradual rollouts, and rapid iteration based on production feedback.”

Katsiaryna Hanus

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Mid-Level Unity Developer specializing in VR/AR/XR and mobile multiplayer

Poznań, Poland6y exp

“Unity VR developer who has shipped multiple Meta Quest games and navigated strict Meta QA/product requirements, with a strong focus on profiling-driven FPS optimization. Co-developed the Meta-delivered title "Shark Bait VR" (2-person dev team), tackling VR comfort (anti-nausea swimming), realistic rope behavior, and fish AI, and has also implemented cross-platform mobile push notifications via Firebase/APNS with Jenkins+CocoaPods.”

Muhammad Saad Akbar

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Mid-level Unity AR/VR Game Developer specializing in mobile and immersive experiences

Rawalpindi, Pakistan4y exp

“Unity developer with shipped Meta Quest VR/MR experience on a multi-game "Nexus" arcade project, contributing to bowling mechanics, racing AI, hand poses, and QA-driven bug fixing. Also builds full Unity projects solo (airplane and taxi simulations), handling everything from physics and controls to level design and aggressive mobile performance optimization (targeting ~1GB devices).”

“Backend engineer who built and scaled a FastAPI-based backend for an AI-driven maintenance system automating vendor sourcing/bidding/communication. Emphasizes async, message-driven architecture with strong observability and state-machine-driven workflows, plus robust webhook/idempotency patterns to prevent duplicate/out-of-order events from causing bad bids or state changes.”

eman akram

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Junior Full-Stack Developer specializing in AI/ML and mobile/web apps

Wah Cantt, Pakistan2y exp

“Built an end-to-end car maintenance application from design through deployment using TypeScript/React with a Node.js + Firebase backend, including OBD integration. Uses mock servers and a layered frontend architecture (UI/state/services separation) to iterate quickly on UX without being blocked by backend or hardware dependencies.”

Ekta Mulkalwar

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Junior Machine Learning & Full-Stack Engineer specializing in applied AI systems

Los Angeles, CA2y exp

“Master’s thesis focused on building and deploying a gait-based biometric authentication system using mobile accelerometer time-series data as an alternative to passwords/2FA. Emphasized real-world robustness by addressing sensor noise and variability (phone placement, walking speed, footwear) and improving safety using biometric metrics like FAR/FRR and EER, while collaborating closely with a non-ML thesis advisor.”

Maheswari Thokala

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Mid-level Full-Stack Engineer specializing in cloud microservices and REST APIs

CA, USA4y exp

“Backend engineer building an AI-powered social media platform on AWS, with hands-on experience shipping LLM-backed application features and improving production performance under high traffic. Strong focus on reliability/observability (CloudWatch, structured logs, health checks) and database optimization (MongoDB explain/slow logs, indexing, caching, connection pooling).”

“Internship-built full-stack systems spanning HR employee-record portals and internal data-quality dashboards (Flask + SQL + React), emphasizing data integrity and rapid MVP iteration. Also implemented Flask microservices with RabbitMQ for distributed task processing, addressing duplication/ordering issues with idempotency, durable queues, and correlation-ID logging; delivered quantified productivity gains for HR teams.”