Vetted Express Professionals

Pre-screened and vetted.

PB

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

Bengaluru, India3y exp
L&T Technology ServicesNortheastern University

Frontend engineer with 3 years of professional experience and a Master's degree who has built a React/TypeScript interface for a two-sided marketplace with role-based dashboards and Stripe escrow flows. Stands out for combining security-conscious UI architecture, measurable browser performance optimization, and polished workflow design for demanding users across desktop and mobile.

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DuyAnh Nguyen - Mid-level Frontend Engineer specializing in FinTech web applications in Los Angeles, CA

DuyAnh Nguyen

Screened

Mid-level Frontend Engineer specializing in FinTech web applications

Los Angeles, CA4y exp
Silicon Valley BankUniversity of Massachusetts Boston

Frontend engineer with enterprise experience at Silicon Valley Bank / First Citizens Bank, focused on complex React and TypeScript interfaces. Has built multi-application workflow switching, optimized production rendering performance with profiling tools, and delivered map-based dashboards handling large datasets while keeping UX responsive and maintainable.

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ERIC Beecroft - Mid-level Full-Stack Engineer specializing in frontend-led FinTech products

ERIC Beecroft

Screened

Mid-level Full-Stack Engineer specializing in frontend-led FinTech products

8y exp
Walker Street DataWestern Australian Academy of Performing Arts

Full-stack engineer with leadership experience across fintech and data products, spanning React/TypeScript frontends, Kotlin/Spring and .NET backends, and AWS infrastructure. Stands out for pairing strong product judgment with hands-on execution: they introduced safer progressive rollout patterns, led Google Auth implementation, and contributed to a lending flow that drove an additional $1M in funded loans in 30 days. Recently expanded into AI tooling by building an MCP app for Claude Desktop integrated with internal APIs.

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AR

Abheesht Roy

Screened

Junior Software Engineer specializing in AI and distributed systems

San Francisco, CA2y exp
Agent-Techs AIArizona State University

Built and shipped a production LLM-driven data harmonization/record-matching pipeline for pharmaceutical datasets, combining normalization, embeddings/vector search, and an LLM validation step. Emphasizes production reliability via guardrails, confidence thresholds, idempotent/retryable stages, and human-in-the-loop fallbacks, with monitoring focused on manual review and error rates to reduce false positives.

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DO

Damien Otis

Screened

Senior Full-Stack & AI Engineer specializing in scalable web platforms and AI products

Long Beach, CA23y exp
YlopoITT Technical Institute

Product-minded full-stack builder who led Ylopo's A-Z Design Studio from initial concept through shipped production system, owning product management, project management, architecture, and development. Also brings distinctive creative-tech experience from Splice, where they built interactive multi-track audio players and contributed to a community-driven music platform with remix and collaboration features.

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PD

Piyush Dongre

Screened

Mid-level Full-Stack Engineer specializing in cloud-native microservices

Boston, MA3y exp
TamrNortheastern University

Backend engineer with hands-on experience scaling a CVE processing platform by re-architecting it into a Kafka-based distributed system, boosting throughput to 200k+ records/min while designing for HA, deduplication, and fault tolerance. Also led a Flyway-driven migration affecting 15M+ records with staged dev→stage→prod rollout, and has implemented production security patterns (Auth0, OAuth2/HTTPS, AWS IAM RBAC) including least-privilege hardening.

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ER

Edwin Rivera

Screened

Senior Full-Stack Software Engineer specializing in modern web apps and cloud platforms

Villa Rica, Georgia7y exp
RTXFull Sail University

Backend/data engineer with production experience building real-time sensor telemetry platforms: FastAPI + PostgreSQL services with strong observability, plus AWS serverless and Glue-based ETL into Redshift. Has modernized legacy SAS pipelines into Python microservices and delivered measurable performance wins (Postgres query latency cut to <1 minute and ~60% DB CPU reduction) while owning incident response and reliability improvements.

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BM

Mid-level Full-Stack Developer specializing in React and Node.js web applications

Chennai, India3y exp
WiproLambton College

Frontend engineer focused on scalable React/Redux + TypeScript applications, with hands-on experience designing reusable component architectures, improving performance (reducing re-renders, streaming API calls), and hardening maintainability through standardized styling and unit tests. Has shipped deadline-driven dashboard features (e.g., filters) using Agile practices and Jira to manage QA and client feedback.

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ST

Mid-level Full-Stack Developer specializing in Healthcare and FinTech web applications

Remote, USA4y exp
Fairview Health ServicesUniversity of Dayton

Hands-on engineer focused on productionizing LLM-powered assistants: builds RAG pipelines with guardrails, response schemas, and citation-grounded outputs, then hardens them with explicit NFRs (latency, uptime, security, cost). Experienced diagnosing agentic/LLM workflow issues in real time using observability and stepwise isolation, and supports go-to-market via developer demos, workshops, and pre-sales technical evaluations in microservices/Spring Boot environments.

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SS

Mid-Level Software Engineer specializing in AI automation and full-stack systems

4y exp
Northern Illinois UniversityUniversity of Illinois Chicago

Software engineer and University of Chicago graduate teaching assistant who built a full-stack internal analytics dashboard (React/TypeScript + Node/Express) and worked in RabbitMQ-based microservices with Prometheus/Grafana observability. Also created an AI-powered ERD diagram generator (React + MermaidJS + OpenAI) adopted by students to save hours on database assignments, using validation loops to ensure valid Mermaid output.

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KG

Mid-Level Forward Deployed AI Engineer specializing in RAG systems and backend microservices

Austin, TX4y exp
SequretekStevens Institute of Technology

LLM solutions practitioner with SOC/alert-triage experience who takes LLM prototypes to production using RAG (Pinecone), FastAPI services, guardrails, CI/CD, monitoring, and robust fallback logic. Known for rapid real-time debugging of embedding/vector and agent workflow issues, and for driving adoption through code-first workshops and sales-aligned custom demos with measurable improvements (35% faster triage; 40% increase in correct tool usage).

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VU

Junior Full-Stack Software Engineer specializing in cloud web apps and authentication

Richardson, Texas3y exp
CrowdDoingUniversity of Texas at Dallas

Full-stack engineer with Deloitte and CrowdDoing experience shipping production web platforms on AWS (EC2/RDS/S3/Fargate) using React/TypeScript and Node/Express/PostgreSQL. Built customer-facing authentication/SSO flows (OAuth2 + JWT) and state-specific US privacy consent workflows, and also delivered a Python/Flask LLM-based finance document parser chatbot with vector DB integration and latency optimizations.

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RU

Russell Uzal

Screened

Senior SDET specializing in test automation across web, mobile, API, and connected devices

Chicago, IL10y exp
CommonSpirit HealthLomonosov Moscow State University

AAA sports game QA tester who supported full development through launch and live updates, owning gameplay stability/regression risk. Experienced in triage-driven prioritization and in diagnosing complex crash issues (including thread synchronization) using evidence-backed Jira reports, then hardening coverage with stress/concurrency/soak and CI-integrated regression suites.

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SV

Junior Software Engineer specializing in distributed systems and cloud microservices

Bellevue, WA3y exp
SeekOutNortheastern University

Built and shipped an AI-driven interview evaluation pipeline at SeekOut that automated recruiter screening via a multi-stage LLM agent workflow (.NET backend, RabbitMQ orchestration, Python workers). Emphasizes production-grade reliability (idempotency, retries, strict JSON/schema validation), strong observability with OpenTelemetry, and measurable efficiency gains including ~40% reduction in token usage/cost.

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xavier mendez - Mid-Level Full-Stack Software Developer specializing in React, PHP, and AWS in Dallas, TX

xavier mendez

Screened

Mid-Level Full-Stack Software Developer specializing in React, PHP, and AWS

Dallas, TX2y exp
PaycomUniversity of Texas at Dallas

Software engineer working on a benefits/deductions product, owning a fast-turnaround feature spanning multiple client/internal UI flows. Built a centralized service layer and a PHP validation pipeline supporting a React/TypeScript frontend, coordinated two other developers to deliver in parallel, and emphasized quality via test cases, documentation, and QC collaboration.

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Vivekananda Reddy - Mid-Level Full-Stack Software Engineer specializing in Java, React, and AWS in Dallas, TX

Mid-Level Full-Stack Software Engineer specializing in Java, React, and AWS

Dallas, TX4y exp
AIGUniversity of North Texas

Backend engineer focused on cloud-native microservices on AWS, owning Python/Flask ingestion services integrated with S3/Lambda and deployed via Docker/Kubernetes with CI/CD. Has led phased migrations from manually managed EC2 setups to automated CloudFormation + pipeline-driven releases, and designed event-driven near-real-time pipelines with idempotency, retry/backoff, and strong observability.

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Sai Nikhil Kanchukatla - Senior Software Engineer specializing in Golang microservices and IAM/SSO in Dallas, TX

Senior Software Engineer specializing in Golang microservices and IAM/SSO

Dallas, TX6y exp
HCLTechUniversity of Texas at Arlington

Backend engineer with experience at DigitalOcean and BNY Mellon, specializing in secure, highly available authentication and API platforms. Built an enterprise SSO system integrating Okta via OIDC with resilience patterns (gRPC contracts, circuit breakers, Kafka) and strong encryption, and led a careful monolith-to-Golang microservices migration using shadow traffic, dual writes, and feature flags to preserve data integrity.

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Kavya Myakala - Mid-level Frontend Developer specializing in security analytics dashboards in NJ, USA

Kavya Myakala

Screened

Mid-level Frontend Developer specializing in security analytics dashboards

NJ, USA4y exp
ReliaQuestPace University

Built and shipped production LLM agents including an end-to-end customer support resolution system (99.9% uptime target) that improved customer satisfaction by ~18% and reduced the need to scale support headcount. Demonstrates strong agent engineering fundamentals—tool-based orchestration, schema-first structured outputs with deterministic validation, and robust eval/monitoring loops—plus experience integrating agents with messy ERP data using canonical normalization and safe fallbacks.

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JP

Jeet Patel

Screened

Junior AI and Backend Engineer specializing in LLM systems

Massachusetts, USA3y exp
Boston Wholesale Outlet IncNortheastern University

AI/LLM engineer who has shipped production RAG copilots and multi-agent workflows, including a real-time Llama3 (Ollama) copilot backend handling 12k+ concurrent queries at 99.9% uptime. Deep on orchestration (Langflow/Airflow/Kubernetes), reliability evaluation (hallucination detection, p95 latency, token cost), and monitoring (Prometheus/Grafana), with demonstrated stakeholder-facing analytics delivery via Tableau.

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SC

Intern Full-Stack Software Engineer specializing in AI and web applications

Los Angeles, CA3y exp
Donald HansSan Diego State University

Full-stack engineer with a strong builder mindset who has shipped both enterprise workflow software and AI-powered assistant platforms. They combine React/TypeScript and Node.js depth with hands-on experience in LLM/RAG systems, vector search, and reusable MCP-based agent infrastructure, and have delivered customer-facing products for enterprise operations teams including 40+ features across two products.

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Bhanu Akepogu - Mid Software Engineer specializing in backend, full-stack, and AI systems in USA

Bhanu Akepogu

Screened

Mid Software Engineer specializing in backend, full-stack, and AI systems

USA3y exp
MetLifeClark University

Full-stack engineer with 3+ years of backend and frontend experience who has built production AI products for enterprise document and policy workflows. Stands out for owning end-to-end systems that combine React, FastAPI, RAG, vector search, and AWS deployment, with measurable impact including 65% less manual review time and significantly faster knowledge-query resolution.

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US

Ubed Syed

Screened

Mid-level Full-Stack Developer specializing in cloud-native web and mobile applications

Minneapolis, MN4y exp
TELUS DigitalConcordia University

Front-end engineer focused on sophisticated enterprise analytics dashboards for business and operations users. They combine strong React/TypeScript architecture with deep browser-performance knowledge and practical UX improvements for demanding expert users, especially in data-heavy applications with large tables, filtering, and role-based workflows.

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SK

Senior Full-Stack Developer specializing in cloud-native web platforms

New Jersey, USA16y exp
RedefinedCorpRamakrishna Mission Vivekananda College

Enterprise front-end engineer with strong Angular ownership across high-stakes products in healthcare, finance, and manufacturing, including a hospital kiosk app, Bank of America portfolio reporting, and a CMS-driven marketing site that has run smoothly for 5 years with no IT support. Stands out for combining UI architecture, measurable performance gains, and production-safe delivery strategies like AWS-based canary releases.

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SR

Junior Software Engineer specializing in full-stack and AI applications

Boston, MA3y exp
Northeastern UniversityNortheastern University

Full-stack product engineer with hands-on ownership of a B2B e-commerce catalog at Mphasis, spanning React/TypeScript, Java/Spring Boot, and Postgres, with strong evidence of performance tuning and UX improvement. Stands out for tracing production issues across layers, leading an Angular-to-React migration, and pairing product instinct with rapid AI prototyping—placing 2nd in an advanced AI hackathon.

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