Vetted Event-Driven Architecture Professionals

Devin Jackson

Screened

Mid-level Gameplay AI Engineer specializing in Unreal Engine

Vancouver, WA4y exp

“UE5 gameplay/system designer with an engineering background who has shipped player-facing systems including an enemy weak-point feature (with replication and performance fixes) and a modular spectator minigame framework for Killer Klowns from Outer Space: The Game. Also implemented lobby mode and disconnect team-balancing (AI backfill) for Ghostbusters: Spirits Unleashed, leveraging profiling/debug tooling and cross-discipline collaboration to get features to shipping quality.”

Nagaveda Sai Kumar Reddy Gajjala

Screened

Mid-Level Full-Stack Software Engineer specializing in distributed systems and cloud integrations

Richardson, TX4y exp

“Backend engineer with enterprise SaaS experience (Zoho) who owned an end-to-end cloud integration between Endpoint Central and ServiceDesk Plus, redesigning device onboarding across 64+ scenarios and building a fault-tolerant sync engine that recovered 100% failed transactions. Also built and operated production systems across the stack—FastAPI services with strong testing/observability, React+TypeScript portals, PostgreSQL performance tuning, and AWS deployments with real incident response (RDS CPU saturation resolved with zero downtime).”

Ram Usarty

Screened

Mid-level Full-Stack Software Engineer specializing in cloud-native distributed systems

USA4y exp

“Backend/platform-focused engineer who has shipped production LLM agents for messy research dataset submissions, turning manual validation into an automated, reliable ingestion pipeline. Strong on production hardening (streaming large uploads, strict schema/function-calling outputs, idempotency, RBAC) plus eval/monitoring loops that improved data quality, reduced support burden, and increased adoption.”

keerthana s

Screened

Mid-level Backend Software Engineer specializing in Python/FastAPI on AWS

Los Angeles, California4y exp

“Backend engineer with healthcare domain experience building AI-driven radiology workflow systems. Evolved tightly coupled APIs into secure, reliable FastAPI-based services by moving heavy imaging/data processing into idempotent asynchronous pipelines with retries, feature-flagged incremental rollout, and strong data-integrity controls (constraints, backfills, validation). Strong focus on defense-in-depth security for sensitive patient data (OAuth2/JWT, RBAC, and database-level protections).”

Zubair Shaik

Screened

Mid-level Full-Stack Developer specializing in AI-driven FinTech platforms

Remote, USA4y exp

“Built and productionized an LLM-powered loan decisioning agent at Bank of America, integrating RAG with microservices to automate creditworthiness assessment and recommendations. Emphasizes real-world reliability and governance (EKS autoscaling, observability, SOC2/PCI security controls), and drove measurable outcomes including 20% faster loan decisions and a reduction in agent failures/fallbacks to under 2% through schema enforcement and confidence-based routing.”

Cia Hang

Screened

Executive IT and Operations leader specializing in digital transformation and security

Chicago, IL13y exp

“Candidate is very familiar with the venture capital and broader investment landscape, but is not interested in founding a company. They have worked with several TPG-backed or TPG-owned organizations, helping drive business scaling, cost reduction, and execution against investor governance requirements.”

Tara Worrell

Screened

Senior Software Engineer specializing in backend systems, AI/LLM integration, and cloud infrastructure

Brooklyn, NY6y exp

“Backend engineer with experience in highly regulated and high-stakes systems, including an airline crew messaging platform requiring near-zero-error real-time operations and a HIPAA-compliant mental health application built from an early-stage concept. They also show strong operational maturity, having owned a GoDaddy production incident through resolution and then led deployment pipeline improvements that reduced build failures by 40% and doubled deployment frequency.”

“Engineer with hands-on experience designing and leading multi-agent AI development workflows, including a LangGraph-based system that automated parts of a RAG pipeline and significantly reduced development time. Stands out for treating AI agents like an engineering team, with clear architecture, handoff schemas, validation, and supervisor-driven conflict resolution.”

“Lead full stack Java developer with deep experience building compliance-sensitive government financial systems, including payment distribution, escrow hold management, reallocations, and disbursement workflows. Stands out for combining Angular/React frontend work with Spring Boot, Oracle SQL/PL-SQL, and batch/JMS architecture to stabilize high-volume transaction systems, automate manual workflows, and reduce production support issues.”

“Backend/ML systems engineer who built a Flask + PostgreSQL internal ticketing platform and demonstrates strong database/ORM performance depth (indexes, partitioning, RLS multi-tenancy). Notably optimized a high-throughput attachment OCR/embedding pipeline with batching, deduplication, and Redis caching, cutting median latency from 45s to 10s and reducing worker cost by 35% while increasing throughput 4x.”

Manoj Manjunatha

Screened

Mid-level Software Engineer specializing in full-stack systems and applied AI

Remote, USA4y exp

“Built the backend for “codeGuard,” an AI-powered static code analysis platform, using FastAPI and Docker. Structured the system into API/service/execution layers and addressed heavy-workload container resource/cleanup issues via strict CPU/memory limits and a queued execution model.”

“Full-stack engineer with deep production experience across healthcare, e-commerce, and financial systems, including early-stage startup architecture work and large-scale enterprise platforms. Stands out for driving a Spring Boot/RabbitMQ microservices migration that stabilized healthcare claims processing and for leading React modernization work supporting 50M+ weekly e-commerce transactions.”

“Backend-focused engineer with strong Go and database optimization experience who improved a high-traffic API by about 30% and helped stabilize peak-load performance for an event reservation platform. Brings hands-on production experience across PostgreSQL, Redis, Rails/Go services, and B2B SaaS integrations with Slack, Hubstaff, and RingCentral, with a clear pattern of owning performance bottlenecks end to end.”

“Front-end engineer with strong ownership of complex browser-based trading platforms for portfolio managers and traders. Stands out for building high-performance React/Redux UIs that handle real-time market data and large datasets, while also improving expert-user workflows through thoughtful usability enhancements.”

“Backend/full-stack engineer with deep experience building weather and geospatial data systems at WindBorne, spanning Next.js/TypeScript frontends through PostgreSQL, Redis, Sidekiq, Rails, Rust, and object-storage-backed forecast pipelines. Particularly strong in production reliability work—self-healing jobs, zero-downtime migrations, query/index optimization, and event-driven ingestion architectures that reduce latency and operational waste.”

“Full-stack/backend-heavy engineer with experience across real-time product systems and high-scale financial analytics, citing work on Flashcode, Netflix, and Bank of America via TCS. Particularly strong in Kafka-based event-driven architecture, streaming pipelines, and production performance tuning, with concrete wins including a 15% latency reduction and scaling reliability from 30k to 50k+ concurrent events.”

“Engineering director and hands-on architecture leader who combines people management with strong systems design depth across performance optimization, serverless event-driven platforms, and developer-facing AI tooling. Notable wins include cutting API latency 30%, reducing shipping time 20%, and refactoring a product into a Claude Code-native workflow optimized for token efficiency and developer context management.”

“Backend/real-time systems engineer transitioning into robotics software: building ROS 2 fundamentals (pub/sub, custom messages, launch files) and experimenting with Nav2 + SLAM in Gazebo/RViz. Demonstrated practical debugging by tuning costmaps/planners and analyzing topic latency to stabilize simulated navigation, and has experience integrating telemetry pipelines and REST-based external interfaces.”

“Backend/microservices engineer (Java/Spring Boot, Kafka, Angular microfrontends) with Teradata experience building distributed analytics/query routing platforms and delivering 20–30% latency reductions through event-driven redesign and reliability hardening. Also built and shipped an end-to-end multimodal medical imaging AI feature (LLaVA/Mistral 7B + LoRA) with production guardrails like confidence-based human review, drift monitoring, and audit logs.”

“Backend engineer who built a real-time, event-driven alerting platform (Java/Spring Boot, Kafka, MongoDB) processing millions of events per day on AWS (Docker/Kubernetes), including hands-on performance debugging of Kafka consumer lag at peak. Also shipped an end-to-end LLM-based alert summarization feature and designed a multi-step incident triage agent workflow with retries and human-in-the-loop escalation.”

“Full-stack engineer with production experience across React/TypeScript, Node/Express, and Java/Spring Boot, operating containerized systems on AWS (EKS/ECS/EC2/RDS/S3) with strong observability (CloudWatch/Grafana). Notable for fixing a real checkout/order-placement failure end-to-end by adding frontend submission guards and backend idempotency with Redis + Kafka deduplication, then validating impact via technical metrics and business KPIs. Has also built Kafka-based integrations/pipelines with robust retry/backfill/reconciliation patterns in retail and banking contexts.”

“Software engineer/product owner who has led end-to-end delivery of AI and content-management platforms, including building RAG-based reliability improvements and migrating fragile systems to containerized AWS ECS/Kubernetes with Terraform-managed CI/CD. Experienced designing event-driven microservices (SQS/SNS/RabbitMQ), scaling queue consumers with autoscaling, and creating internal Python tooling to standardize data connectors (e.g., BigQuery/Airtable/internal APIs) to speed iteration.”

“Accenture engineer who owned an insurance e-application end-to-end and drove incremental releases that reduced recurring production issues. Also built a TypeScript/React (Next.js) + NestJS microservices platform using PostgreSQL, Redis, Stripe, and Kafka, with strong focus on decoupling, eventual consistency, and scaling consumers under load. Created a hackathon chat-based internal assistant that used live form context and documentation-grounded answers to help agents resolve customer queries during form filling.”

“Full-stack engineer who built and owned an end-to-end real-time engineering dashboard for Medtronic robotic surgical systems, streaming high-frequency sensor/kinematic data via Python WebSockets to a React/TypeScript UI. Differentiates through performance/reliability practices (stable core vs experimental layer, observability, caching) and high-impact 3D visualization + session playback that became part of engineers' regular bench-testing workflows.”