Vetted Jest Professionals

Pre-screened and vetted.

SR

Mid-level Full-Stack Software Engineer specializing in cloud-deployed web apps and APIs

Dayton, OH3y exp
Wells FargoWright State University

Software engineer who has shipped both core web platform features (secure user authentication/profile management) and production LLM systems. Built an internal documentation knowledge assistant using a full RAG pipeline (OpenAI embeddings, vector DB, semantic search, reranking) with evaluation loops and a scalable document-ingestion pipeline for PDFs/FAQs, iterating based on metrics and user feedback.

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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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SG

Mid-level Full-Stack Software Engineer specializing in cloud-native systems and identity verification

Jersey City, NJ4y exp
Charles SchwabLong Island University Brooklyn

Full-stack developer with strong cloud/on-prem focus (AWS, VPC networking) who has improved production reliability by bringing manually created IAM/security group resources under Terraform and standardizing environments. Demonstrated end-to-end troubleshooting across app + infrastructure + networking (traffic capture revealed proxy response truncation) and delivered Python-based monitoring/reporting enhancements that improved ops visibility and turnaround.

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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.

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Darshan Togadiya - Mid-level Full-Stack Engineer specializing in cloud-native web apps in Rancho Cucamonga, CA

Mid-level Full-Stack Engineer specializing in cloud-native web apps

Rancho Cucamonga, CA5y exp
MicroNOCCalifornia State University, San Bernardino

Full-stack engineer in an early-stage startup who built an EV charger monitoring and payments dashboard from scratch, owning UI/UX (Figma), React frontend, Node/Postgres APIs, and production deployment/ops (Firebase + AWS). Demonstrated measurable impact (40% fewer reconciliation errors) and strong reliability chops through multi-source energy/payment ingestion, idempotent pipelines, and CloudWatch-driven incident resolution.

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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.

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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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EM

Staff Full-Stack & DevOps Engineer specializing in cloud-native platforms and AI

Lexington, KY19y exp
APAX SoftwareNorthern Kentucky University

Backend/data engineer focused on production Python and AWS: built FastAPI REST services and a containerized ECS Fargate + Lambda architecture deployed via Terraform/CI-CD. Strong in data engineering (Glue/S3/Parquet/RDS) and operational reliability (CloudWatch/SNS, retries, schema-evolution handling), with experience modernizing legacy SAS reporting into Python microservices using feature flags and parity validation.

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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.

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Surya Padmini Konjula - Mid-level Software Engineer specializing in backend, cloud, and AI for FinTech in San Jose, CA

Mid-level Software Engineer specializing in backend, cloud, and AI for FinTech

San Jose, CA6y exp
CitizensLouisiana State University

Senior full-stack engineer focused on AI-powered workflow automation and customer support products, with hands-on ownership from React/TypeScript UI through FastAPI microservices, retrieval pipelines, and Kubernetes deployment on GCP. Particularly strong in turning ambiguous zero-to-one AI initiatives into production systems that reduce manual operations, improve turnaround time, and remain reliable through strong orchestration and monitoring practices.

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DW

David Wang

Screened

Junior Software Developer specializing in full-stack web and enterprise systems

Tampa, FL2y exp
AdvantiveStony Brook University

Frontend engineer focused on sophisticated real-time operational UIs, with experience building logistics workflow platforms used by managers, analysts, and support teams. Stands out for combining deep browser-performance knowledge with thoughtful interaction design for demanding users in correctness-critical, live-updating systems.

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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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CC

Executive product leader specializing in AI, SaaS platforms, and monetization

Seattle, WA14y exp
SubmittableFlorida State University

Senior product leader who helped transform Submittable from a single-program grant tool into a multi-program impact platform, driving ARR from $20M to $70M+ while improving retention and margins. Particularly strong in enterprise platform strategy and human-centered AI, with a clear philosophy of using AI to augment expert judgment rather than replace it.

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YR

Yashwanth R

Screened

Mid-level Full-Stack Engineer specializing in AI and enterprise healthcare systems

3y exp
CommonSpirit HealthUniversity of Missouri-Kansas City

Built and shipped a production LLM-powered agent for supply chain operations that integrates ERP data and automates multi-step decision-making with tool calling, state management, and structured JSON outputs. Emphasizes production reliability (guardrails, fallbacks, monitoring, idempotency) and reports strong business impact: 40% faster decisions, 30% higher throughput, and 25% efficiency gains.

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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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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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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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MA

Mid-Level Front-End Developer specializing in enterprise design systems

Toronto, ON6y exp
Bentley SystemsUniversity of Alabama

Frontend engineer who led Bentley’s flagship design system from a greenfield codebase to adoption across every major Bentley product, emphasizing maintainability and high UX polish. Built complex React+TypeScript interfaces like a Figma/Photoshop-style layers tree, applying advanced performance techniques (skeleton-first loading, transitions, memoization, deferred rendering) and iterative feature-flagged rollouts driven by user feedback.

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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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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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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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JW

Jae Woo Jeong

Screened

Senior Software Engineer specializing in full-stack web platforms

New York, NY9y exp
OloCity College of New York

Frontend-leaning full-stack engineer who has owned complex dashboard modernization work, including migrating legacy React code to a standardized internal component library and improving performance at scale. They also demonstrate strong TypeScript discipline and have shipped cross-stack admin features spanning schema changes, APIs, reporting updates, UI flows, feature-flagged rollout, and production monitoring.

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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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