Vetted Vue.js Professionals

Pre-screened and vetted.

SK

Senior Software Engineer specializing in React, Python, and scalable web platforms

Remote, CA13y exp
AsanaTemple University
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SG

Mid-level Java Developer specializing in Spring Boot microservices (FinTech & Healthcare)

5y exp
PNCPace University
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SR

Senior AI/ML Engineer specializing in Generative AI and Computer Vision

Los Angeles, California9y exp
PoplTsinghua University
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RR

Senior Full-Stack .NET Engineer specializing in FinTech payments and event-driven microservices

Dallas, TX13y exp
BestowUniversity of Texas at Austin
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HL

Mid-level Product Designer & Engineer specializing in AI-native geospatial and data products

Redwood City, CA6y exp
WindBorne SystemsColumbia University
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LM

Mid-Level Full-Stack & Cloud Engineer specializing in scalable distributed systems

Corvallis, OR3y exp
MicrotecOregon State University
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SV

Director-level AI/ML engineering leader specializing in platform and product development

Mountain View, CA10y exp
Motley DataSanta Clara University
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AH

Senior Full-Stack Engineer specializing in backend, cloud, and AI systems

New York, NY8y exp
Istream Solution
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JS

Johnnie Sanders

Screened ReferencesModerate rec.

Executive AI Architect specializing in enterprise cloud and FinTech solutions

Lewisville, TX15y exp
11-11 Solutions Ent.Purdue University

Candidate brings an operator-to-founder profile with leadership experience in IT and Business Systems and a strong grasp of how ideas become venture-backable products. They speak fluently about startup evaluation criteria such as TAM, technical defensibility, speed to scale, and AI differentiation, and appear especially motivated by building solutions end-to-end in startup or venture studio environments.

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OB

Omkar Bhope

Screened

Staff Full-Stack Engineer specializing in AI platforms and infrastructure automation

San Jose, CA5y exp
Etched AIUC San Diego

Backend/full-stack engineer building complex internal platforms and customer-facing demos at the intersection of infrastructure and product. Shipped a no-code Product Lifecycle Manager for manufacturing (3 manufacturers, 1000+ evolving tests) using AWS S3/SQS ingestion and extensible Postgres (EAV+JSONB) with end-to-end traceability. Also built a FastAPI-based company data intelligence platform with Okta-secured RBAC and an LLM/MCP layer for ChatGPT-like analytics over enterprise data sources.

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SB

Silpa Bhavani

Screened

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

Oakland, CA5y exp
BlockLamar University

Software engineer with strong compliance-domain experience who built a customer-facing compliance and reporting dashboard using React/TypeScript with Spring Boot microservices. Demonstrates mature production engineering practices—contract-first APIs, event-driven architecture (Kafka/RabbitMQ), caching (Redis), and robust CI/CD + observability (Prometheus/Grafana/ELK)—and also created a Python-based audit automation tool adopted into the standard release process.

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AB

Senior Software Engineer specializing in React, TypeScript, and scalable web applications

Los Angeles, CA8y exp
20th Century StudiosSan Francisco State University

Full-stack engineer with production experience building and owning high-traffic e-commerce checkout flows in Next.js (App Router) + TypeScript across microservices (REST/GraphQL). Demonstrated measurable performance wins (30% checkout improvement; 85% initial load reduction at 20th Century FOX) and strong production rigor (APM/logs, CloudWatch, Postgres indexing + EXPLAIN ANALYZE), including offloading PDF generation to AWS Lambda.

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Mithilesh Gaurihar - Mid-Level Software Engineer specializing in Java microservices and cloud-native systems in USA

Mid-Level Software Engineer specializing in Java microservices and cloud-native systems

USA4y exp
CitigroupArizona State University

Full-stack engineer (SAP Labs experience) who built an end-to-end, real-time fraud detection system on Java 11/Spring Boot microservices with Kafka event streaming and a React/Redux analytics dashboard with WebSocket updates. Demonstrated strong production ownership by diagnosing a critical memory leak with Prometheus/CloudWatch + heap dumps and improving performance with Redis caching (40% faster queries), while also modernizing deployments via Kubernetes, Jenkins CI/CD, and Terraform.

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Prateeksha Ranjan - Mid-level Software Engineer specializing in embedded AI and full-stack systems in Irvine, California

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

Irvine, California4y exp
SynapticsUC Irvine

Robotics software engineer who built and owned core navigation components for a TurtleBot in ROS/ROS2 and Gazebo, including an RRT-based planner, waypoint-to-velocity motion planning, and PID trajectory tracking. Demonstrates strong real-time debugging skills (control-loop timing under CPU load), costmap/occupancy-grid tuning, and distributed ROS2 communication design using DDS/QoS, plus Docker and CI/CD automation experience from Keysight.

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Mounika Gunturu - Senior Python Full-Stack Developer specializing in cloud-native microservices and data platforms in New York, NY

Senior Python Full-Stack Developer specializing in cloud-native microservices and data platforms

New York, NY9y exp
Oliver WymanNarayanamma Institute of Technology and Science

Backend/data engineer from Oliver Wyman who built and ran production Python (FastAPI) services on AWS (ECS/Lambda/API Gateway) supporting risk modeling and regulatory reporting. Strong in reliability/observability, Glue-based ETL with data quality controls, and legacy SAS-to-Python modernization with rigorous parity validation; also demonstrated measurable SQL performance wins and cost-control improvements in serverless scaling. Based in Raleigh, NC and can travel onsite for important Bethesda-area meetings.

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Ming Wang - Entry-level Software Engineer specializing in AI and FinTech in Hong Kong, Hong Kong

Ming Wang

Screened

Entry-level Software Engineer specializing in AI and FinTech

Hong Kong, Hong Kong1y exp
China Guangfa BankUniversity of Wisconsin–Madison

Recent college graduate and software engineer who relies heavily on AI-assisted development, reporting that roughly 85% of code in a recent initiative was AI-generated and then manually reviewed. Has built customer-facing AI features including personalized recommendations and an internship chatbot tied to product advertising, with exposure to API communication, database checks, and conversation monitoring.

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Allan Farinas - Senior Full-Stack Software Engineer specializing in Python and AWS in West Covina, CA

Allan Farinas

Screened

Senior Full-Stack Software Engineer specializing in Python and AWS

West Covina, CA11y exp
CareRevCal Poly Pomona

Backend/data engineer who has built production Python microservices (FastAPI) and AWS-native platforms for event ingestion and analytics, combining ECS/Fargate + Lambda with CloudFormation-driven environments and strong secrets/IAM practices. Experienced modernizing legacy logic with parallel-run parity validation and safe phased cutovers, and has demonstrated measurable SQL tuning wins (20–30s down to 1–2s) plus incident ownership in Glue/Step Functions ETL pipelines.

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João Arruda - Senior Frontend Engineer specializing in Vue.js, testing strategy, and scalable architecture in Remote, EU

João Arruda

Screened

Senior Frontend Engineer specializing in Vue.js, testing strategy, and scalable architecture

Remote, EU15y exp
TheyDoSENAC São Paulo

Frontend engineer/lead focused on scalable architecture and reusable UI platforms: built a schema-driven, IoC-based unified filtering system across an app with feature-flagged rollout and strong TypeScript/testing discipline. Also created a standalone React NPS survey package that works across microfrontends (handling peer dependency/version issues) and implemented accessibility improvements for complex interactions like drag-and-drop while leading an Atomic Design → Feature-Sliced Design migration.

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Thomas To - Mid-level Full-Stack Engineer specializing in AI/ML data platforms for biotech and FinTech in Emeryville, CA

Thomas To

Screened

Mid-level Full-Stack Engineer specializing in AI/ML data platforms for biotech and FinTech

Emeryville, CA6y exp
Canventa Life SciencesUC Davis

AI/ML full-stack practitioner in a small-scale manufacturing/lab operations environment who deployed a production ML system to improve blood cell order fulfillment by predicting yield/success from donor characteristics. Experienced building custom multi-agent orchestration (Python, LangChain/LangGraph, MCP) and balancing reliability, data quality constraints, and token/ROI economics while communicating tradeoffs to VP-level business stakeholders.

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KD

Karen Dettmar

Screened

Senior Design Engineer specializing in AI-powered product experiences and visual systems

New York, NY7y exp
IntuitUniversity of Virginia

Product designer with hands-on front-end implementation experience who has owned complex flows end-to-end at Wix and Intuit, including a live keynote demo for Wix’s first developer conference and a tournament-based inner-source readiness program across global AI/data teams. Particularly strong at turning ambiguous briefs into structured experiences, using design systems rigor, interaction design, and implementation fluency to ship polished, understandable products.

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AA

Mid-level Full-Stack Java Engineer specializing in FinTech

United States4y exp
CitigroupUniversity at Buffalo

Engineer with hands-on experience across frontend, backend, and data systems, including React/TypeScript UI work at CitiGroup, ETL pipeline ownership at Accenture, and personal 0→1 builds like an AI chatbot and a real-time multiplayer typing platform. Stands out for combining product-minded prioritization with strong implementation depth in performance optimization, type-safe frontend architecture, and resilient data pipeline design.

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MG

Mid-level Software Development Engineer specializing in cloud-native AI/ML systems

California, USA4y exp
ServiceNowCal State Long Beach

AI/ML-focused engineer with practical experience building RAG-based and multi-agent systems, including architectures for retrieval, reasoning, context processing, and response generation. Stands out for combining LLM productivity gains with disciplined software engineering practices like validation, monitoring, and reproducibility.

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