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Vetted Web Development Professionals
Pre-screened and vetted.
Junior Software Engineer specializing in distributed systems, cloud, and data infrastructure
Mid-level Software Engineer specializing in cloud platforms and distributed backend systems
Executive Engineering Leader specializing in cloud-native enterprise platforms and developer tooling
Senior Unity Engineer specializing in VR and multiplayer game development
Senior Software Engineer specializing in scalable cloud microservices and AI integration
Junior Software Engineer specializing in backend and full-stack web systems
Senior Full-Stack Software Engineer specializing in AWS cloud-native microservices and healthcare platforms
Senior Marketing Manager specializing in integrated campaigns and marketing operations
Mid-Level Full-Stack Software Engineer specializing in AWS and automation
Senior Data Scientist specializing in AI/ML platforms for finance and healthcare
Executive Technology Leader (CTO/Fractional CTO) specializing in SaaS, cloud architecture, and startups
Senior Software Engineer specializing in backend systems and distributed platforms
Intern Software Engineer specializing in AI/ML and full-stack web development
Staff Platform/ML Engineer specializing in agentic AI, RAG, and cloud infrastructure
Staff Software Engineer specializing in Unity mobile game development
Executive Marketing Leader (Fractional CMO) specializing in growth, paid media, and brand
MichaelJose Oakes
Senior Unity/XR Engineering Manager specializing in real-time interactive and multiplayer experiences
“Unity Technologies engineer with direct Meta subcontract experience shipping Quest titles (Horizon Worlds projects like Super Rumble) and supporting third-party studios. Strong in VR performance optimization and modernization work—porting legacy OVR/older-Unity projects to OpenXR, URP, and hand-tracking inputs. Built a master’s dissertation cross-platform multiplayer FPS spanning Quest VR, PC, and mobile AR using Photon.”
Arnav Singh
Junior Software Engineer specializing in full-stack web, cloud data, and applied ML
“Backend engineer who evolved the X-Ray gaming analytics platform, leading a zero-downtime MongoDB→AWS DocumentDB migration with dual-write, checksum-based validation, and Kubernetes canary rollouts while maintaining real-time monitoring for millions of concurrent sessions. Strong in FastAPI/Python API scaling and performance tuning (cut latency from ~2s to <150ms and reduced DB load 90%) plus production-grade auth/RLS security patterns (JWT, Supabase Auth, PostgreSQL RLS).”
Bhagya Sunkara
Mid-level Full-Stack Developer specializing in cloud-native backend services and real-time data platforms
“Backend/data engineering candidate with Netflix experience designing and migrating analytics platforms from batch to real-time streaming (Kafka/Flink) across AWS and GCP. Delivered measurable improvements (40% lower data delay, 99.9% accuracy) using phased rollouts, automated data validation (Great Expectations), and strong observability (Prometheus/Grafana), and proactively hardened pipelines with idempotency to prevent duplicate Kafka processing.”
“Software engineer with experience at Amazon and Agora building end-to-end systems: a knowledge-base AI chatbot (React/TypeScript UI + retrieval/response backend + Docker deployment) and an internal approval governance platform using AWS Step Functions and DynamoDB. Emphasizes fast iteration without sacrificing trust via feature-flag rollouts, citation-required answers, abstention on low-confidence retrieval, regression query sets, and strong observability (request IDs, structured logs, latency/error monitoring).”
Likhitha Bethi
Mid-level Software Engineer specializing in backend systems, distributed systems, and applied AI
“Goldman Sachs engineer who owned end-to-end features for an internal onboarding and case management platform, spanning React/TypeScript UI, a GraphQL gateway, and Node + Spring WebFlux microservices. Built and operated a Kafka-based ingestion and search pipeline with DLQs, retries, idempotency, and strong observability, and improved developer experience via backward-compatible GraphQL API design and schema-driven documentation.”