Vetted Release Management Professionals

Mahgoub Gaafar

Screened

Senior Product Manager specializing in AI-driven engagement and gamification

Dubai, UAE7y exp

“F2P product/game designer with live-ops experience on an NBC Group-owned mobile app in the MENA region (~200k users), driving personalization (segmented ads/trivia) and monetization (regional pricing, LTOs, season pass). Owns the full delivery lifecycle—PRDs/backlog through QA/UAT and release—and uses retention/conversion metrics and A/B testing to tune rewards and the game economy.”

Sampath Achalla

Screened

Mid-level Full-Stack Engineer specializing in Golang and cloud-native FinTech systems

USA3y exp

“Backend-leaning full-stack engineer in fintech/payments who shipped an end-to-end Stripe payments + webhook system for a financial microservices platform, emphasizing ledger accuracy via idempotency, transactional writes, retries, and DLQs. Also delivered a real-time React/TypeScript payment status dashboard informed by user interviews, and improved production performance by 35% p95 latency through PostgreSQL tuning and Redis caching on AWS.”

“Frontend engineer at LodestonePM who led end-to-end delivery of an AI release-notes generator (OpenAI API) and a Kanban-style release board in Remix/React/TypeScript. Demonstrated scalable architecture (bridging tables, upserts), strong QA practices, and measurable performance wins (200+ item loads reduced from 10–20s to a few seconds via caching/pagination), plus UX improvements like simplifying a Jira integration flow.”

Gly Vu

Screened

Junior Software Engineer specializing in full-stack tools and LLM inference infrastructure

3y exp

“Full-stack/edge-focused engineer who took a manual, terminal-based AI calibration workflow and turned it into a web-enabled remote calibration system designed for low-bandwidth 5G field deployments, now used across 85+ field sites. Experienced operating edge fleets with versioned rollouts, Kubernetes-based cloud monitoring, and Prometheus/Grafana observability, plus refactoring fast-moving AI codebases for modularity and strong typing.”

Revanth P

Screened

Mid-level DevOps Engineer specializing in AWS, Azure, Kubernetes, and GenAI infrastructure

Walnut Creek, CA4y exp

“Database/platform engineer with stronger hands-on experience in AWS and Azure than GCP, but able to speak credibly about cloud database architecture, automation, and reliability engineering. They led an on-prem MySQL to RDS/DynamoDB migration, built Terraform/Python-based zero-touch database operations, and described a performance incident where latency dropped from 2s to under 300ms while supporting 2x traffic.”

Antonio Walker

Screened

Senior Technical Lead and Full-Stack Engineer specializing in cloud, AI, and enterprise platforms

Irvine, CA13y exp

“Engineering leader and player-coach who says he joined Freeing Returns during a transition from sales-led services to SaaS, architected the platform from the ground up, and helped hire a 10+ person team across engineering, product, and delivery. He also describes leading an AI-based fraud detection system on Salesforce with data lake and pipeline architecture, combining startup build-from-scratch execution with hands-on technical leadership.”

Prince Kumar

Screened

Senior Software Engineer specializing in front-end and full-stack web applications

Gurugram, India6y exp

“Started in a small startup environment and grew from frontend into full-stack ownership across mobile apps, web apps, APIs, backend, and production responsibilities. Strongest in JavaScript/TypeScript and React, with notable experience building an insurance "resume the journey" feature using MongoDB to persist multi-step form progress.”

“Frontend engineer who led an internal React + TypeScript admin dashboard end-to-end, including a collaboratively owned component system and complex RBAC/permissions workflows. Emphasizes scalable architecture and correctness using React Query (mutations + query invalidation), centralized permission logic, and TypeScript for safe evolution, plus performance tuning for data-heavy tables and pragmatic MVP-driven delivery with gradual rollouts.”

“Built and owned a customer-facing Document Intelligence Service for legal contract analytics at Noasis Digital, delivering extraction/summarization with careful accuracy controls (confidence thresholds, versioned deployments, production logging). Also developed a React/TypeScript document review app and internal QA dashboard, and has hands-on microservices experience with async messaging (RabbitMQ), timeout tuning, and centralized structured logging for reliability at scale.”

Vitor Souza

Screened

Senior Game Developer specializing in multiplayer, XR/VR, and real-time networking

Lynchburg, VA8y exp

“Unity/C# gameplay engineer who has owned end-to-end systems for live-service AR and shipped VR (Meta Quest) and mobile titles. Built a hybrid LLM-driven real-time NPC interaction pipeline (STT/LLM/TTS) with streaming SSE, strict JSON contracts, and state-machine execution for stability, plus a custom UDP/TCP authoritative multiplayer stack deployed on AWS EC2 with live monitoring and rapid hotfix capability.”

“Gameplay/network engineer based in Argentina who has shipped across Unity and UE5, with standout work in deterministic simulation, authoritative multiplayer, and fully local AI-driven NPC systems. Particularly compelling for teams building systemic gameplay or real-time interactive experiences: they replaced Unity physics with a custom deterministic race pipeline, improved WebGL load performance, and later built an engine-agnostic local LLM/TTS/lip-sync stack for conversational NPCs.”

“Full-stack engineer with strong AWS operations experience who helped replace a long-standing manual logistics reporting process by building a production-grade, event-driven On-Time-Performance rules system. Personally owned the Vue-based rule configuration frontend end-to-end (design collaboration through QA/UAT and post-release support) and measures success via accuracy validation against historical data, reduced manual adjustments/tickets, and system latency/error metrics.”