Vetted Redux Professionals

“Built and owned core systems for VISTA, a VR drone training simulator in Unity/C#, including modular training scenarios, drone physics, restricted airspace logic, and dynamic weather-aware gameplay. Stands out for combining VR performance discipline on Meta Quest with realistic-yet-trainable flight controls and close collaboration with faculty SMEs to align the simulation with real training workflows.”

Bill Cheng

Screened ReferencesStrong rec.

Director-level Engineering Leader specializing in SaaS platforms and AI systems

Remote, USA26y exp

“Entrepreneurial candidate building an LLC focused on applying AI to improve call center customer service, with an early go-to-market focus on local government call centers. They are already in discussions with a government prospect and have a clear thesis around solving high turnover and low knowledge retention through AI-assisted training and support systems.”

“Front-end engineer with strong browser UI and accessibility instincts, including ownership of a complex responsive color/style picker for a major paint brand and foundational theming work for a SaaS CMS. Particularly notable for combining progressive enhancement, cross-browser rigor, and accessibility leadership to make polished interfaces work reliably across devices and user needs.”

Vincent Fearing

Screened ReferencesModerate rec.

Junior Full-Stack Engineer specializing in FinTech systems

Austin, TX1y exp

“Full-stack engineer with deep experience in high-stakes integrations: owned end-to-end fintech payment notification/installment tracking at an early-stage startup (FastAPI/React/AWS), including multi-environment routing for live banking partners and reliability patterns like idempotency and retries. Also built a Coachella partner ticketing platform (React/TS/Node/Postgres) with strong concurrency controls and zero-downtime migrations, and previously delivered media-asset ETL/file-sharing automation at Sony Pictures using Frame.io with checksum-verified transfers.”

“Backend-leaning full-stack engineer in lending/financial services (Kotak Mahindra Bank Autos360; currently at Ally Financial) working on Spring Boot microservices with React dashboards. Has built reliability improvements for credit-bureau integrations (Experian) and created an internal monitoring/reporting platform that aggregates metrics/logs/ETL across services, cutting troubleshooting by ~40%.”

“Backend engineer/technical lead with experience building and operating real-time blockchain analytics systems at Merkle Science. Owned high-traffic Django/DRF services and Kafka streaming pipelines processing millions of events daily, with deep focus on performance (N+1 fixes, indexing, caching) and reliability (DLQs, retries, monitoring). Also led containerization and Kubernetes/GitOps-style CI/CD on Google Cloud, including a migration off Google App Engine to reduce cost and improve scalability.”

“Backend/platform engineer who owns policy-lifecycle workflow microservices built in Python/FastAPI with async + DDD, Kafka event processing, SQLAlchemy, JWT/RBAC, and Redis caching (cut DB load ~40%). Experienced deploying Java and Python microservices to Kubernetes with Helm and GitOps (ArgoCD) plus Jenkins/GitHub Actions pipelines to AWS/ECR, and has supported phased on-prem-to-cloud migrations with dependency mapping and data consistency strategies.”

Andre Kuznetcov

Screened

Staff Front-End Engineer specializing in high-performance web apps and AI products

Remote, US4y exp

“Frontend engineer who built uichallenges.design end-to-end in Next.js, delivering hourly AI-generated challenges across timezones and a CDN-backed gallery of 1k+ items while staying fast for 100s of weekly active users. Also led a full replacement of Zenhub’s kanban board, forking DnD tooling and adding custom virtualization + Redux to support thousands of items with real-time socket updates, shipped safely via gradual rollout with Sentry/Mixpanel and A/B testing.”

RAJ KUMAR

Screened

Mid-level Full-Stack Software Engineer specializing in FinTech and cloud-native microservices

Chicago, IL6y exp

“Backend engineer at Discover who built and scaled Python/Flask services for a card dispute resolution platform, tackling long-running external network validations with Celery+Redis and delivering measurable gains (response time ~3s to <300ms; throughput +40%). Experienced in high-scale PostgreSQL/SQLAlchemy optimization (partitioning, read replicas, N+1 avoidance), event-driven systems with Kafka, and integrating ML fraud detection using AWS SageMaker/Lambda/ECS with clear separation of real-time vs batch processing.”

Jackie Chui

Screened

Senior Front-End Developer specializing in React/Next.js and interactive web experiences

8y exp

“Frontend engineer with 2 years at WestJet building an agent-facing booking UI layered on top of guest flows, including creating a dedicated agent UI library packaged in JFrog Artifactory for reuse across microfrontends. Also delivered a highly interactive Micron brand site using GSAP for scroll-driven animations and implemented resilient audio state/transition logic to handle rapid user scrolling. Experienced partnering closely with design/product (e.g., Corient) to prototype and ship polished, responsive experiences on tight timelines.”

Ali Taquie

Screened

Junior Software Engineer specializing in AI and FinTech payments

Santa Cruz, CA2y exp

“Forward-deployed software engineer at PayStand who uses LLM prototyping tools (e.g., Cursor, Lovable) to rapidly build customer-specific demo environments and drive sales outcomes—citing ~$100K in technical buy-in before production development. Experienced supporting an enterprise expense management product (Teampay) with agentic AI workflows, emphasizing observability (Grafana/Loki/Tempo) and cross-functional communication with sales, product, developers, and customers.”

Venkat Palaparthi

Screened

Senior Software Engineer specializing in cloud-native microservices and secure enterprise platforms

Dallas, TX6y exp

“Full-stack engineer with strong production ownership in banking/identity & entitlements systems, building Spring Boot + Postgres/Redis services and React dashboards, then deploying on AWS EKS with Jenkins CI/CD. Demonstrated impact through reduced authorization latency and fewer access-related support tickets, plus strong observability and reliability practices (CloudWatch, tracing, autoscaling, Kafka pipelines with DLQs and reconciliation).”

“Full-stack engineer with end-to-end ownership of a production customer plan activation and account management flow at T-Mobile, spanning Java/Spring Boot APIs, React frontend, and Docker-based CI/CD deployments. Demonstrated performance/scalability work (query optimization, indexing, caching) and measured success via improved retrieval speed and reduced support tickets.”

“DevOps- and infrastructure-focused engineer who is already applying AI in practical delivery workflows, including Terraform, CI/CD, Kubernetes, and multi-agent automation. Stands out for combining AI-driven productivity with disciplined validation through testing, code review, and security checks, and for leading cross-functional AI integration across development, QA, and infrastructure.”

“Built an itinerary-planning startup MVP (LessGO) using React/TypeScript and a Node/Express backend integrating Google Maps and Gemini AI. Notably optimized Gemini latency from ~40 seconds to ~3 seconds through frontend caching, debugging, and model selection, and has TA experience supporting others with deployments and database connectivity.”

Aswin Jojo

Screened

Junior Software Engineer specializing in full-stack development and machine learning

Houston, TX3y exp

“Full-stack engineer with experience owning products end-to-end in both insurtech/financial workflows and AI-enabled IT operations. Built scalable React/Node and FastAPI systems, improved reliability under peak transaction load with SQS/Redis, and shipped an AI ticket-classification platform that cut response times from 3 days to 1 day.”

KUSHWANTH MUTHYALA

Screened

Senior Full-Stack Engineer specializing in FinTech

Irvine, CA6y exp

“Engineer with hands-on experience building and deploying end-to-end ML inference pipelines using SageMaker, TensorFlow, Scikit-learn, and Kafka-backed real-time data systems. Brings a strong distributed-systems mindset and has already operated in a tech lead capacity through architecture decisions, code reviews, and cross-functional coordination. Especially compelling for teams building production AI/ML platforms that need both practical execution and sound engineering judgment.”

Mounika Ravali Vundemodalu

Screened

Junior Front-End Developer specializing in insurance web applications

San Jose, USA3y exp

“Full-stack developer who uses AI selectively for refactoring, regex, API typing, and test scaffolding while maintaining strict manual review for security, correctness, and architectural fit. Recently shipped insurance-related features such as policy issuance and reinstatement, and demonstrated hands-on debugging of async React issues by identifying duplicate fetches in DevTools and fixing them with AbortController.”

“Built an AI-powered document extraction system at Copart that moved from initial POC to rollout across multiple yards, with customer-driven iteration including batch processing. Has hands-on full-stack experience spanning Java/Spring Boot backends, React frontends, and LLM-based workflows, with attention to reliability through multi-LLM fallback, retries, and post-processing.”

“Full-stack engineer with hands-on ownership of a production telemedicine dashboard at Cleveland Clinic, spanning React/TypeScript frontend, Spring Boot and Node.js backend services, and AWS/Kubernetes infrastructure. Stands out for real-time systems expertise, measurable performance improvements in a healthcare setting, and a clear interest in applying that backend/cloud foundation to AI agent systems.”

“Founder of Snazified Inc., a multi-tenant ATS startup, where they led a 5-person remote engineering team and built AI-powered workflow features that reportedly drove 75% sales growth and 90%+ customer retention. They also launched a separate subscription profile platform with React/Node, AI resume tools, and job aggregation, reaching 50 paying subscribers shortly after launch.”

“Backend engineer with hands-on experience modernizing high-volume transactional systems by decomposing monoliths into Spring Boot microservices on AWS, using Kafka for async workflows and Redis/SQL tuning for latency. Has built Python/FastAPI services with strong API contracts and production-grade security (OAuth2/JWT, RBAC, row-level security), and proactively hardened payment flows against race conditions and double-charging via idempotency.”

“Backend engineer focused on Node.js (Express/Fastify) and MongoDB who designed a multi-stage bill-approval workflow system for a manufacturing company, emphasizing RBAC, auditability, and scalability across multiple factory units. Also improved system robustness by catching a MongoDB connection leak in an Excise department project and has experience executing low-risk, incremental backend refactors with monitoring and rollback.”