Vetted Swagger Professionals

Pre-screened and vetted.

DM

Junior Full-Stack Developer specializing in AI and cloud-native systems

Oregon, United States3y exp
NerdPineKennesaw State University
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MR

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

Cincinnati, OH4y exp
Jobly SolutionsUniversity of Cincinnati
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SM

Mid-level Software Engineer specializing in backend APIs and React full-stack development

MA, USA4y exp
Dell TechnologiesClark University
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YP

Mid-level Software Engineer specializing in backend systems, APIs, and cloud microservices

TX, USA4y exp
DXC TechnologyTexas A&M University
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AJ

Mid-level Data Analyst specializing in BI, ETL, and cloud analytics

California, USA4y exp
SDSU Research FoundationSan Diego State University
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RM

Senior Software QA Engineer specializing in test automation and API validation

10y exp
Education DynamicsUC Santa Cruz
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TD

Mid Software Engineer specializing in Java microservices and cloud applications

Dallas, TX3y exp
HumanaUniversity of Central Missouri
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LP

Senior Full-Stack Java Developer specializing in cloud microservices

Frisco, TX10y exp
TCS
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Naveen Chokkakula - Senior Golang Engineer specializing in distributed systems and cloud-native microservices in Texas, USA

Naveen Chokkakula

Screened References

Senior Golang Engineer specializing in distributed systems and cloud-native microservices

Texas, USA5y exp
UWorldOklahoma City University

Software engineer with experience at UWorld and Infosys, focused on full-stack product delivery and backend reliability. Stands out for owning analytics/onboarding experiences end-to-end while also building resilient distributed systems, reusable service primitives, and safe multi-tenant configuration guardrails.

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YESHA BHAVSAR - Intern Software Engineer specializing in full-stack and AI applications in Alpharetta, GA

YESHA BHAVSAR

Screened ReferencesStrong rec.

Intern Software Engineer specializing in full-stack and AI applications

Alpharetta, GA0y exp
LexisNexis Risk SolutionsKennesaw State University

Built and deployed an "AI Closet" application as a personal product, owning full-stack and applied AI features end to end. Particularly interesting for recruiters because they combined Next.js/TypeScript product engineering with practical AI systems work, including OpenAI vision-based smart form fill, personalized recommendation learning, and a grounded RAG application with evaluation and regression testing.

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AN

Abhishek Namdev Sawant

Screened ReferencesModerate rec.

Mid-Level Backend Software Engineer specializing in Java microservices and cloud platforms

Seattle, WA5y exp
Ecological Servants ProjectSeattle University

Backend/platform engineer with payments and insurance domain experience (Cognizant), owning high-volume production systems end-to-end. Shipped a Spring Boot payment tokenization service with strong observability and phased migration that cut transaction latency ~30% and improved payment efficiency ~25%. Also productionized an ML-driven financial health/risk analytics pipeline with near real-time dashboards across 70+ schools, emphasizing interpretability, data quality, and drift monitoring.

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BH

Senior Full-Stack PHP Developer specializing in LAMP, APIs, and scalable SaaS platforms

Valencia, CA20y exp
PhonexaCalifornia State University

Full-stack engineer who built an email/SMS marketing platform from the ground up using PHP (Yii2/Laravel) and JS (jQuery/Vue components), including campaign reporting, A/B testing, and extensive ESP/SMS integrations (Mailgun/Mailjet/Twilio plus AWS SES/SNS). Notably scaled the system for very large contact ingestion by migrating from MySQL to ClickHouse and implemented reliability measures like retries, logging, and rate limiting.

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Tanisha Pradeep Bhola - Mid-level Software Development Engineer specializing in backend, cloud, and microservices in Dayton, Ohio

Mid-level Software Development Engineer specializing in backend, cloud, and microservices

Dayton, Ohio4y exp
University of DaytonUniversity of Dayton

Accenture engineer with hands-on experience taking an NLP sentiment analysis system from prototype to production, emphasizing robustness to noisy data, scalability, and observability (dashboards for latency/error/throughput). Also supports customer-facing teams with demos and PoCs, translating client requirements into secure, scalable architectures and troubleshooting LLM/agent workflows via logs and step-level traces.

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Sai Prudhivi - Mid Software Engineer specializing in full-stack microservices and cloud platforms in New York, NY

Sai Prudhivi

Screened

Mid Software Engineer specializing in full-stack microservices and cloud platforms

New York, NY4y exp
CGINorthern Arizona University

Backend-focused engineer with experience building high-volume policy management and enterprise pricing systems, including Django/FastAPI/Flask services, Kafka-based async workflows, and Prometheus/Grafana observability. While they have not yet shipped a customer-facing AI agent or production LLM integration, they bring strong cloud, API, reliability, and scalable system design fundamentals that translate well to responsible AI infrastructure work.

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SA

Mid-Level Full-Stack Web Developer specializing in React and Node.js

Toronto, ON6y exp
Simplii FinancialDMS SVH College of Engineering

Frontend engineer who led end-to-end delivery of a customer-facing ticket booking platform at Simplii Financial, emphasizing scalable React architecture, performance (code-splitting/lazy loading), and accessibility. Also built a data-heavy real-time metrics dashboard at Q-TED using React + TypeScript with React Query for server-state, strong API contract validation practices, and tight QA/product/design collaboration for fast, stable releases.

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VP

Mid-level Generative AI Engineer specializing in LLMs, RAG, and agentic systems

Houston, TX5y exp
Asuitech SolutionsUniversity of Houston

Built a production "Mini RAG Assistant" for internal document Q&A, focusing on grounded answers (anti-hallucination), retrieval quality, and latency/cost optimization. Uses LangChain/LangGraph for orchestration and applies a metrics-driven evaluation loop (including reranking and semantic chunking improvements) while collaborating closely with product stakeholders.

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JG

Mid-Level Full-Stack Software Engineer specializing in Healthcare IT and FinTech

USA7y exp
UnitedHealth GroupCalifornia State University, Los Angeles

Engineer with experience in regulated healthcare and financial systems, including a United Health healthcare service migration to AWS. Built documentation-as-code for CI/CD (Jenkins/Docker/Kubernetes/Terraform + GitHub Actions) that accelerated release cycles from 3 weeks to 4 days and tied security configuration (Spring Security/OAuth2/JWT) directly to HIPAA/GDPR compliance. Strong in observability-led incident response (ELK/Prometheus/Grafana) and performance tuning (PostgreSQL, async processing), citing MTTR reduction from 3 hours to 50 minutes and support for 250K+ concurrent users.

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SG

Saharsha Goud

Screened

Senior Full-Stack Java Developer specializing in microservices and cloud platforms

Denver, CO7y exp
DaVitaUniversity of Central Missouri

Full-stack engineer focused on data-heavy platforms, building Spring Boot microservices and Angular/React dashboards end-to-end. Has hands-on experience improving large-scale API and UI performance (including cutting 8–10s response times) and ensuring cross-service consistency using Kafka, idempotent consumers, and strong validation/transaction patterns on AWS with CI/CD and observability (Prometheus/ELK).

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Muhammad Waqas Ashraf - Senior Full-Stack Engineer specializing in AI, cloud infrastructure, and DevOps in Lahore, Pakistan

Senior Full-Stack Engineer specializing in AI, cloud infrastructure, and DevOps

Lahore, Pakistan7y exp
Devline SolutionsNational University of Sciences and Technology

Frontend engineer focused on building and scaling data-heavy, real-time dashboards with React/Next.js/TypeScript. Emphasizes performance and reliability at scale through modular architecture, centralized state (Zustand/Redux), strict API contracts, automated testing, and production monitoring (Grafana/CloudWatch), and has experience shipping quickly with feature-flagged rollouts and rapid iteration from user feedback.

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Abhishek Ingle - Junior Full-Stack & AI Software Engineer specializing in React/Next.js and LLM systems in Bloomington, IN

Junior Full-Stack & AI Software Engineer specializing in React/Next.js and LLM systems

Bloomington, IN2y exp
Indiana UniversityIndiana University Bloomington

Backend engineer with hands-on experience building low-latency, high-concurrency real-time chat on AWS (Node.js/Socket.IO/MongoDB) and improving reliability under unstable networks, contributing to ~40% user adoption growth. Also built FastAPI-based AI assistant context retrieval (RAG) APIs with embeddings/vector search, and has strong production experience in rate-limit handling, async refactors with safe rollout, and Supabase Auth/RLS optimization.

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