Vetted OpenAPI Professionals

Pre-screened and vetted.

GP

Mid-Level Full-Stack Software Engineer specializing in Cloud, Microservices & Distributed Systems

USA6y exp
State StreetCalifornia State University
View profile
NK

Mid-level Full-Stack Software Engineer specializing in Java, Angular, and distributed systems

USA4y exp
Fidelity InvestmentsUniversity of Bridgeport
View profile
DC

Mid-level Full-Stack Developer specializing in FinTech, Healthcare IT, and Generative AI

USA4y exp
Inspira FinancialUniversity of Texas at Arlington

Full-stack + ML engineer who built “Finsight,” a real-time financial risk platform (React/FastAPI/MongoDB/AWS Lambda) processing 2M+ records monthly, using sharding and Redis caching (60% DB load reduction) plus async and batch optimizations. Also has healthcare product experience at Apollo Healthcare, partnering directly with clinicians/admins to design and iterate EHR dashboards via Figma prototyping and user testing, and demonstrates clear system design thinking for real-time voice-to-LLM architectures.

View profile
BP

Mid-level Full-Stack Engineer specializing in TypeScript/Node.js and AWS cloud platforms

6y exp
AccentureUniversity of Bridgeport

Accenture engineer who built real-time smart mobility products (Verra Mobility) used by both consumers and government agencies, spanning React/TypeScript frontends and Node.js/GraphQL microservices with Kafka. Demonstrated strong delivery and reliability practices (CI/CD, feature flags, automated testing, CloudWatch observability) and achieved a ~20% GraphQL performance improvement supporting 50,000+ daily transactions, plus built an internal ops/support dashboard adopted into daily workflows.

View profile
SP

Mid-level Full-Stack Developer specializing in Java/Spring Boot, React, and cloud microservices

MD, USA4y exp
AIGUniversity of New Haven

Backend/platform engineer with hands-on ownership of Kubernetes GitOps delivery (GitHub Actions + Argo CD) on AWS EKS, including progressive rollouts and reliable rollback across interdependent microservices. Built a Python/FastAPI ML-driven document-processing service (PostgreSQL + S3) to complement existing Spring Boot systems, and implemented Kafka streaming pipelines with Schema Registry plus Prometheus/Grafana observability. Also supported a hybrid cloud-to-on-prem migration for compliance/latency with phased rollout and incremental PostgreSQL migration.

View profile
JP

Jay Patil

Screened

Mid-level Full-Stack AI/ML Engineer specializing in LLMs and intelligent systems

Santa Clara, CA3y exp
Santa Clara UniversitySanta Clara University

Built a semantic search portal for a fellowship department and an AI-driven PR review pipeline, using AI selectively for boilerplate while retaining full ownership of architecture, security review, testing, and deployment. Has hands-on experience with multi-agent systems, monitoring, and security validation, with a notably disciplined approach to catching false positives and rewriting weak AI output.

View profile
VM

Mid-level Java Full-Stack Developer specializing in scalable web applications

New Jersey, USA4y exp
CognizantWilmington University

Full-stack Java developer from Cognizant who built a real-time transaction monitoring and tracking platform for operations and customer visibility. Stands out for combining Spring Boot, React/TypeScript, Kafka, and CI/CD tooling to ship near real-time dashboards, while also working directly with users to refine requirements and improve performance in high-volume transaction environments.

View profile
Dinesh Guguloth - Mid-level Software Engineer specializing in full-stack cloud-native applications in New York, NY

Mid-level Software Engineer specializing in full-stack cloud-native applications

New York, NY4y exp
AccentureCleveland State University

Full-stack engineer with cloud and GenAI experience who has owned production features end-to-end, including a reporting dashboard optimized from 14s to 5s using query/API refactoring and monitored via AWS CloudWatch. Also productionized an OpenAI-powered chatbot using LangChain with prompt design, guardrails, and evaluation via production logs and user feedback, and has led incremental legacy-to-microservices modernization with parallel run to avoid regressions.

View profile
AM

Senior Full-Stack Engineer specializing in cloud-native and AI-powered systems

San Jose, CA5y exp
AccentureSan Jose State University

Full-stack engineer with experience spanning React/TypeScript frontends, Node.js backend services, and production systems on AWS. They’ve built real-time, event-driven inventory workflows using PostgreSQL, Redis, RabbitMQ, and Keycloak, and also drove a multi-agent LangGraph architecture for a self-healing systems project evaluated on simulated Kubernetes outages.

View profile
PG

Senior Mobile Software Engineer specializing in secure React Native and Bitcoin wallets

Blacksburg, VA6y exp
Commonwealth Cyber InitiativeVirginia Tech

Built and evolved the backend-adjacent platform for a self-custody Bitcoin wallet used by 2000+ users, emphasizing security-first architecture that avoids custodial risk by keeping private key operations client-side. Demonstrates strong API reliability and security depth (FastAPI contract-first design, idempotency, state-machine modeling, JWT/device-aware auth) and has reduced production failures by hardening signing flows against poor connectivity.

View profile
LR

Mid-level Full-Stack/Backend Java Developer specializing in IAM and microservices

Tucson, Arizona3y exp
CognizantUniversity of Arizona

Full-stack Java developer (~4 years) who built a telecom asset management system end-to-end with React and Spring Boot, and led/participated heavily in migrating it from a monolith to Spring Cloud-based microservices. Experienced with high-volume, data-driven workloads using Kafka (partitioning, batching, resilient consumers) and production observability via centralized logging with ELK and Splunk.

View profile
Sanjana Akula - Senior Full-Stack Software Engineer specializing in cloud-native microservices and FinTech in New York, NY

Sanjana Akula

Screened

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

New York, NY5y exp
Wells FargoNJIT

Front-end engineer with experience at Optum and Wells Fargo maintaining internal React/Angular component libraries and design-system-aligned UI modules used across multiple apps. Known for stabilizing shared libraries via semantic versioning, Jest test automation, and high-quality documentation, plus measurable performance wins (≈40% faster dashboard loads) through profiling-driven React and API optimizations.

View profile
Valeriy Filin - Senior Backend/Cloud Engineer specializing in IaC, SaaS platforms, and ML/Computer Vision in Aliso Viejo, CA

Valeriy Filin

Screened

Senior Backend/Cloud Engineer specializing in IaC, SaaS platforms, and ML/Computer Vision

Aliso Viejo, CA19y exp
IT Rex GroupOdessa National Polytechnic University

Backend/infrastructure engineer with experience across API development (FastAPI/MySQL/SQLAlchemy), Kubernetes deployments, and large-scale data processing—built a Dockerized Python pipeline to pre-aggregate ~1B Graylog events for efficient querying. Has enterprise infrastructure automation background at Hewlett Packard Enterprise (Datafabric) using Terraform/Ansible with fail-fast and rollback practices, plus Kafka-based sensor streaming prototypes to Google Cloud with Java workers and autoscaling.

View profile
LB

Executive technology leader specializing in telehealth and healthcare SaaS

San Diego, CA21y exp
Presidium HealthEM Strasbourg Business School

Seasoned startup operator with 20 years of experience working with startups and small businesses, especially in early-stage environments. Familiar with the VC/accelerator ecosystem and has participated in board meetings with investors, bringing an execution-focused, problem-solving mindset to entrepreneurial opportunities.

View profile
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.

View profile
LV

Lyla Vela

Screened

Senior Full-Stack Engineer specializing in AI, SaaS, and aerospace-defense systems

California, USA13y exp
Morf3DSan Jose State University

Senior full-stack engineer with startup experience building multi-tenant B2B SaaS platforms for manufacturing and financial operations. Strongest in Python back-end development and React/TypeScript front ends, with hands-on AWS microservices, enterprise integrations like Siemens, and measurable performance gains including a 30% reduction in application load times.

View profile
PC

Pyneni Charan

Screened

Mid-level Full-Stack Developer specializing in frontend web applications

4y exp
BMOUniversity of Central Missouri

Backend-focused engineer with banking-domain deployment experience who has owned releases end-to-end, from discovery and API/database implementation through post-launch stabilization. Brings a reliability-first mindset across distributed systems, incident response, and messy real-world data handling, and has also applied that foundation to retrieval-based LLM workflows in production-oriented cloud environments.

View profile
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.

View profile
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.

View profile
Indupriya gummadi - Mid-level Full-Stack Developer specializing in React/Next.js web applications in Detroit, MI

Mid-level Full-Stack Developer specializing in React/Next.js web applications

Detroit, MI5y exp
Delta Air LinesTrine University

Software engineer with airline operations domain experience building real-time dashboards and internal tools for frontline ops and customer support. Strong in TypeScript/React performance optimization and backend/microservices reliability (RabbitMQ, DLQs, autoscaling, correlation IDs/observability), with a track record of shipping incrementally via feature flags and driving organic adoption through pilot-led iteration.

View profile
Daanesh Potnuri - Mid-Level Full-Stack Engineer specializing in API-driven microservices and cloud delivery

Mid-Level Full-Stack Engineer specializing in API-driven microservices and cloud delivery

5y exp
World Disaster CenterPenn State University

Software engineer with hands-on experience building a decentralized file-sharing dApp, bridging a React frontend with Ethereum smart contracts via Web3.js and integrating IPFS for decentralized storage. Demonstrates a rigorous, measurement-driven approach to performance optimization (profiling + benchmark/regression loop) and strong ownership in high-stakes environments, including Fircosoft sanctions platform optimization and rapid production hotfixes for user-impacting issues.

View profile
Nilesh Bhoi - Mid-Level Software Engineer specializing in full-stack web apps and real-time systems in Austin, TX

Nilesh Bhoi

Screened

Mid-Level Software Engineer specializing in full-stack web apps and real-time systems

Austin, TX3y exp
eHealthSyracuse University

Software engineer who has owned and improved a customer-facing quote flow in a Vue/Nuxt app, using production observability to reduce latency and improve reliability via caching and request-handling fixes. Also shipped an internal LLM Q&A tool using embeddings + RAG over approved company docs and past support tickets, with guardrails, logging, and an evaluation loop that drove retrieval/prompt improvements. Seeking ~$110k base and requires H1B transfer sponsorship.

View profile
WK

Mid-level Full-Stack Developer specializing in AI/ML and cloud-native applications

New York, USA3y exp
Versa NetworksSUNY Old Westbury

Full-stack/AI engineer who has shipped production systems spanning real-time analytics dashboards and an internal LLM-powered knowledge assistant. Experienced with RAG pipelines (embeddings/vector DB, semantic retrieval, query rewriting) plus evaluation loops and guardrails, and builds observable Kafka-based data pipelines monitored with Prometheus/Grafana.

View profile
Harshitha Ayenugula - Mid Software Engineer specializing in backend and FinTech systems in New Jersey, USA

Mid Software Engineer specializing in backend and FinTech systems

New Jersey, USA4y exp
Community Dreams FoundationUniversity at Buffalo

Full-stack engineer with strong ownership of complex web products, including building a real-time collaborative editor end-to-end using React, Spring Boot, WebSockets, Yjs CRDT, PostgreSQL, Redis, and Docker. Stands out for combining product delivery with production reliability and performance work, including reducing QA defects by ~25%, improving internal tool load times to under 2 seconds, and resolving latency issues in live systems.

View profile

Need someone specific?

AI Search