Vetted Event-Driven Architecture Professionals

Pre-screened and vetted.

Anirudh Venkatesh - Mid-level XR/Unity Developer specializing in AR/VR and immersive applications in Riverside, CA

Mid-level XR/Unity Developer specializing in AR/VR and immersive applications

Riverside, CA5y exp
Brain Game CenterUC Riverside

Unity developer with hands-on experience across VR, AR, multiplayer, and AI-driven gameplay systems. They’ve owned end-to-end interaction architecture for VR cognitive testing focused on accessibility, integrated Gemini-based command systems into gameplay, and shipped cross-platform immersive applications spanning Magic Leap 2, iOS, and Photon-powered multiplayer experiences.

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IK

Mid-level Software Engineer specializing in AI systems and distributed platforms

Alexandria, VA4y exp
Virginia TechVirginia Tech

Built OpenGPU features spanning React/TypeScript, Go orchestration, PostgreSQL, Redis, and Stripe, with a strong focus on reliability, transaction integrity, and low-latency distributed systems. Also shipped LLM product infrastructure, including persona-conditioned frameworks and reusable prompt/model abstractions, showing a blend of systems engineering and fast product iteration.

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TM

Tarun Madimi

Screened

Mid-level Full-Stack Developer specializing in cloud-native enterprise platforms

Ohio, USA3y exp
ReliaQuestIndiana Tech

Software engineer focused on backend and full-stack development who is already integrating AI deeply into day-to-day engineering workflows. Stands out for experimenting with multi-agent setups where separate agents handle planning, coding, review, testing, and documentation, while maintaining strong human oversight around quality, security, and performance.

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Naveen K - Mid-level Full-Stack Software Engineer specializing in AI-powered backend systems in San Francisco, CA

Naveen K

Screened

Mid-level Full-Stack Software Engineer specializing in AI-powered backend systems

San Francisco, CA2y exp
Wells FargoUniversity of Central Missouri

Full-stack engineer with hands-on ownership of a real-time analytics and alerting dashboard built with React/TypeScript, Node.js, Kafka, Redis, and PostgreSQL. Also contributed to an internal LLM-powered support automation system, focusing on backend orchestration, RAG-based reliability, and Kubernetes deployment. Stands out for combining product-minded zero-to-one execution with strong distributed systems and AI integration experience.

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MB

Senior AI Engineer specializing in machine learning, IoT, and data platforms

Winterville, NC16y exp
FreelanceEast Carolina University

Backend/cloud engineer who built an AWS serverless IoT system that computes Bluetooth beacon locations from telemetry using heavy scientific Python (NumPy/SciPy/pandas) packaged as Dockerized Lambda, integrated with Java microservices and scheduled batch orchestration. Has deep AWS delivery experience (CI/CD with Code* tools, CloudFormation, cost controls) and has led high-severity incident response including CloudTrail forensics and infrastructure recovery after a compromised-keys crypto-mining attack.

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AB

Aron Bussey

Screened

Senior Software Engineer specializing in backend systems, data platforms, and AI solutions

Newcastle, OK10y exp
TerakeetEast Central University

Senior hands-on full-stack engineer with recent Python/React/TypeScript experience at Terakeet and prior Go-focused backend work at Checkly. Stands out for building and scaling analytics and monitoring platforms in startup-style environments, with strong depth in PostgreSQL performance, containerized deployments, and turning ambiguous business goals into reliable production systems.

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SC

Mid-level Software Engineer specializing in full-stack and cloud-native backend systems

New Haven, CT4y exp
CignaUniversity of Bridgeport

Full-stack/backend-leaning engineer with hands-on experience building transaction-processing systems using React, TypeScript, Node.js, MySQL, and Spring Boot microservices. They have owned services in production on AWS EKS, diagnosed peak-traffic failures via CloudWatch, and driven architectural modernization to Kafka-based microservices that improved scalability, deployment speed, and reliability.

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JP

Janki Patel

Screened

Mid-level XR Developer specializing in real-time WebXR/Unreal/Unity systems

Mesa, AZ5y exp
Arizona State UniversityArizona State University

UE5 Blueprint-focused gameplay/system designer who shipped an XR interactive experience (“Echoes of the Moon”), owning interaction logic, progression triggers, state management, and animation syncing through ship. Emphasizes modular component-based architecture with interfaces and data-table-driven tuning, plus strong profiling/optimization skills (refactoring Tick-heavy systems to event-driven) validated through 20–30 user playtests and mobile XR (Android) frame-budget constraints.

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OR

Senior Unity 3D Developer specializing in mobile games, AR/VR, and architecture

Warsaw, Poland11y exp
Moon ActiveOdesa I. I. Mechnikov National University

Unity gameplay engineer with experience across multiple genres (city builders, match-3, RTS) including implementing an open-world isometric fog-of-war system optimized via chunking and multithreading. Has shipped multiplayer features using Photon/UNet and has dealt with real-time synchronization/ownership conflicts, and also applies AI automation to speed up code reviews and improve Jira/merge request workflows.

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SS

Mid-level Software Engineer specializing in cloud-native backend and AI integrations

California, United States6y exp
SymSoft SolutionsArizona State University

Full-stack engineer with experience building customer-facing fintech mobile features end-to-end (loan estimate comparison) and scaling event-driven microservices in enterprise environments (Verizon). Has designed TypeScript/React/Node systems with queues/caching and built an internal rule-engine for bulk Excel ingestion that reduced data errors and manual rework through automated validation.

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BY

Billy Y

Screened

Junior Software Engineer specializing in Full-Stack and GenAI/LLM applications

San Jose, CA2y exp
ZymebalanzBoston University

LLM/RAG practitioner building clinician-facing AI search and Q&A inside EHR workflows, focused on trust, latency, and safety (grounded answers with citations, PHI controls, encryption/audit logs). Demonstrated real-time incident response for production LLM systems (e.g., fixing a metadata-filter deployment regression to prevent irrelevant results/cross-patient leakage) and strong demo/enablement skills for mixed technical and clinical stakeholders; also shipped a multi-model RAG tool at OrbeX Labs with upload/search/audit features for day-to-day adoption.

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PS

Mid-level Software Engineer specializing in Java microservices and distributed systems

Tempe, AZ4y exp
Arizona State UniversityArizona State University

Systems Engineer at Tata Consultancy Services with hands-on ownership of enterprise logistics microservices (Spring Boot) using Kafka integrated with Azure Event Hubs, including partitioning strategies and operational handling of consumer lag/duplicate events. Also built a full-stack road-accident blackspot detection application using Python-based spatial clustering and model evaluation with a JavaScript/Mapbox frontend.

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SB

Sai Byrraju

Screened

Entry-Level Software Engineer specializing in full-stack and AI platforms

1y exp
7C LingoMichigan State University

Built an AI-based voice interviewer platform at 7C Lingo to automate early-stage candidate screening, owning the full lifecycle from architecture through deployment and weekly production iterations. Implemented a TypeScript/Next.js recruiter dashboard with a Flask/Postgres backend and AWS S3, plus modular services for transcription/analytics/session management using state-driven async workflows. Also created an internal Whisper-powered transcription and editing tool that evolved into a collaborative, versioned, live-transcription system.

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VS

Mid-level Full-Stack Software Developer specializing in cloud-native microservices

WI, USA5y exp
HCLTechWright State University

Product-focused full-stack engineer (Spring Boot/Django + React/TypeScript) with deep experience building multi-tenant, enterprise workflow and supply-chain/order-tracking systems. Owned an end-to-end Workflow SLA Breach Prediction & Alerting feature integrating Azure ML for a cloud workflow platform used by ~10,000 enterprise users, and has hands-on AWS operations experience resolving real production latency/scaling incidents via query optimization and Redis caching.

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PK

Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices and data analytics

Oklahoma City, USA5y exp
Wells FargoOklahoma City University

Software engineer with experience at Wipro Technologies and Wells Fargo building React-based SPAs, reusable component libraries, and developer documentation. Demonstrated strong performance engineering (React.memo, list virtualization, code splitting) with reported >50% rendering-time improvement, plus hands-on production support by diagnosing API outages via monitoring/logs and implementing traffic/server fixes. Comfortable leading workstreams in fast-changing environments using Kanban and tight stakeholder feedback loops.

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VS

Senior Full-Stack Software Engineer specializing in .NET, cloud, and microservices

San Ramon, CA15y exp
ProQuestGlobal Academy of Technology

Backend-leaning full-stack engineer who led a legacy monolith-to-microservices migration (OAuth, Redis, ActiveMQ) while shipping incrementally via CI/CD to avoid user disruption. Strong in search/filter experiences and performance tuning (Solr schema + relevance boosting) with measurable impact (login reduced to ~5s), plus React/TypeScript UI work including configuration-driven filters and shareable URL state.

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OS

Omkar Sutar

Screened

Mid-level Full-Stack Developer specializing in cloud-native healthcare platforms

CA1y exp
Molina HealthcareUniversity of the Pacific

Full-stack engineer in healthcare and enterprise analytics who has shipped event-driven, near-real-time systems (Spring Boot microservices + Kafka + AWS) and large-scale patient/provider portals (50k+ users). Strong in production reliability and performance—measurably reduced claims latency (27%), cut support tickets (25%), and handled real AWS scaling incidents end-to-end. Also built a Python REST control plane for SDN routing integrated with external reinforcement learning agents.

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MK

Mid-level AI/ML Engineer specializing in Generative AI and MLOps

Arlington, TX4y exp
micro1University of Texas at Austin

Built and shipped a production RAG assistant using GPT-4, LangChain, and Pinecone/FAISS to search 50K+ institutional documents, with a strong focus on groundedness and hallucination reduction through retrieval optimization and re-ranking. Pairs this with a metrics-driven evaluation/monitoring approach (BLEU/ROUGE, manual sampling, logging) and workflow automation via Airflow, and has experience translating stakeholder needs into iterative AI prototypes.

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ND

Staff Software Engineer/Architect specializing in Java microservices and multi-cloud (AWS/Azure)

California, USA19y exp
NTT DATAUniversity of Hyderabad

Backend/platform engineer with State Farm experience modernizing and scaling an enterprise consolidated payment data platform and event-driven pipelines. Built cloud-native payment architecture (ECS->EKS) handling millions of financial transactions/day and high-volume telemetry (~100M events/day), with strong schema governance (Avro + schema registry) and production operations/incident mitigation driven by observability.

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Hrishi Kamal Earla - Senior Full-Stack Java Developer specializing in cloud-native FinTech microservices in Remote, CA

Senior Full-Stack Java Developer specializing in cloud-native FinTech microservices

Remote, CA7y exp
DiscoverCalifornia State University, Long Beach

JavaScript/React engineer with hands-on open-source library contribution experience, including thoughtful PRs that improved error handling, API flexibility, and added features backed by tests and documentation. Demonstrates a profiling-first approach to UI/runtime performance (memoization, component splitting, render-path optimization) and strong community support skills—reproducing edge cases, delivering sustainable fixes, and communicating workarounds and releases.

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Lakshmi Priya Ramisetty - Mid-level ML & Data Engineer specializing in GenAI, graph modeling, and fraud/risk analytics in Redwood City, CA

Mid-level ML & Data Engineer specializing in GenAI, graph modeling, and fraud/risk analytics

Redwood City, CA5y exp
BlueArcYeshiva University

Built a production AI fraud/risk scoring platform at BlueArc that ingests web business/product/site data, generates text+image embeddings, and connects entities in a graph to detect reuse patterns and links to known bad actors. Optimized for scale with incremental graph re-scoring and delivered investigator-friendly explainability by surfacing the exact signals/relationships behind each score; orchestrated workflows with Airflow and GCP event-driven components (Pub/Sub, Dataflow, Cloud Run) and has recent LLM workflow orchestration experience (retrieval, prompting, scoring).

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Mohanad Hamed - Senior Software Engineer specializing in Unity game development and .NET/C++ systems in Amman, Jordan

Mohanad Hamed

Screened

Senior Software Engineer specializing in Unity game development and .NET/C++ systems

Amman, Jordan17y exp
Tamatem GamesAl-Balqa Applied University

Unity game developer with eye-tracking SDK experience (Tobii) who shipped a gaze-driven Dynamic Light Adaptation feature by modifying Unity shaders and post-processing, demonstrated via an FPS demo scene. Currently building a multiplayer card game client using an in-house, event-driven networking architecture and actively improving resilience to reconnect/lag edge cases.

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Serge Ahranovich - Executive CTO / Platform Architect specializing in IoT, telematics, and EV charging infrastructure in Los Angeles, CA

Executive CTO / Platform Architect specializing in IoT, telematics, and EV charging infrastructure

Los Angeles, CA20y exp
TimeTickBelarusian State University of Informatics and Radioelectronics

Founder of TimeTick (timetick.io), an AI-powered diagnostics platform for IoT combining device simulation, automated testing, and real-time monitoring—initially focused on EV charger diagnostics. Former VP of Engineering with a track record of building IoT systems from scratch and applying AI to detect protocol-failure patterns that drive downtime; currently supporting existing customers and converting pilots (with leads like Siemens and ABB) into paid subscriptions.

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LN

Junior Full-Stack Engineer specializing in AI-powered systems

New York, NY2y exp
Playtoon IT, IncPace University

Backend engineer with hands-on ownership of a production POS platform, including architecture, CI/CD, Kubernetes deployment, and live incident handling. Also built a RAG-based document Q&A system using OpenAI/Anthropic with hybrid retrieval, evaluation metrics, and fallback logic, showing both traditional backend depth and practical applied AI experience.

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