Vetted Jira Professionals

Pre-screened and vetted.

AK

Senior Frontend Developer specializing in React, performance optimization, and data-heavy UIs

New York, United States11y exp
DataroomHQ
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NS

Senior QA Associate specializing in game and Xbox platform testing

9y exp
Lionbridge
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Affan Ahmed - Senior Full-Stack & Machine Learning Engineer specializing in scalable SaaS and cloud AI in Remote, Pakistan

Affan Ahmed

Screened ReferencesModerate rec.

Senior Full-Stack & Machine Learning Engineer specializing in scalable SaaS and cloud AI

Remote, Pakistan7y exp
Cyber Soft VantageBahria University, Islamabad

Frontend engineer who led an enterprise self-serve analytics dashboard end-to-end using a micro-frontend React/TypeScript architecture with strong integration discipline (contracts, CI gates, ADRs). Demonstrated measurable performance wins (35% faster LCP) through code splitting, lazy loading, and tighter Redux subscriptions, and uses feature flags plus automated E2E coverage for controlled rollouts.

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Louys Patrice Bessette - Mid-level Web Developer specializing in React and TypeScript in Uruguay

Louys Patrice Bessette

Screened ReferencesModerate rec.

Mid-level Web Developer specializing in React and TypeScript

Uruguay4y exp
Effet MonstreConcordia University

Frontend developer (self-described intermediate/junior+) who built and released an end-to-end portfolio game (“Dot and Boxes”) in ~3 weeks using React state + Redux, including an in-app guided tour. In a prior role, worked on a full UI + flow redesign for a long booking workflow, focusing on reusable components and integrating Redux while dealing with complex/duplicated state and limited access to external designers via a PM intermediary.

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VP

Vishesh Patel

Screened

Junior AI/ML Engineer specializing in Python ML, NLP, and model deployment

Piscataway, New Jersey3y exp
Fairfield UniversityFairfield University

Built and productionized a real-time social-media sentiment analysis system used by a marketing team to monitor brand/campaign performance. Experienced in orchestrating LLM workflows with LangChain (validation → prompting → parsing → post-processing), plus monitoring, retraining, and RAG-style retrieval using embeddings/vector stores to keep outputs reliable over time.

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AP

Mid-Level Software Engineer specializing in Java microservices and event-driven systems

Overland Park, KS4y exp
AntraHarrisburg University of Science and Technology

Backend-focused engineer with experience spanning research and healthcare: owned a Python/SQL data pipeline that transformed vulnerability-fix code data from SQLite into model-ready JSON for LLM analysis. Also deployed Dockerized Spring Boot microservices to Kubernetes with Jenkins CI/CD and built Kafka-based real-time event streaming (appointment/report events) with idempotent consumers to avoid duplicate processing.

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SJ

Mid-Level Full-Stack Software Engineer specializing in web platforms, cloud, and test automation

San Jose, CA4y exp
San José State UniversitySan José State University

Full-stack engineer with hands-on ownership of production systems, including a Kafka-based notification/alerting platform (Node.js + React) deployed on AWS with Docker/GitHub Actions, achieving ~95% email delivery reliability. Demonstrates strong operational maturity (observability, CI/CD, zero-downtime migrations) and experience shipping in ambiguous environments (SJSU project) with evolving requirements.

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Akash Mishra - Mid-level Data Engineer specializing in ETL pipelines on GCP in Miami, Florida

Akash Mishra

Screened

Mid-level Data Engineer specializing in ETL pipelines on GCP

Miami, Florida5y exp
SargaSolutionsNorthern Arizona University

Full-stack engineer from Larix Technologies who led a Next.js migration feature: an internal real-time workflow status dashboard built with App Router/TypeScript using server components for initial render and client polling for live updates. Demonstrates strong post-launch ownership—monitoring latency/error rates, adding caching and payload reductions, and optimizing Postgres queries/indexes—plus experience building durable RabbitMQ-based message routing workflows with idempotency, retries, and dead-letter queues.

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SS

Mid-level Full-Stack & Cloud Engineer specializing in backend, AWS infrastructure, and DevOps

Bradenton, FL4y exp
PM AcceleratorIndiana Wesleyan University

IBM Power/AIX engineer who has owned a large production estate (20+ Power9/Power10 frames and 400+ LPARs) with vHMC and dual-VIOS HA. Has hands-on incident recovery experience (NPIV/RMC issues, LPM restores) and PowerHA failovers, plus modern DevOps exposure using Terraform on AWS and CI/CD with GitHub Actions/Jenkins (including deploying AI/RAG and vision workloads).

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VM

Mid-level AI Engineer specializing in LLM agents, RAG, and data pipelines

4y exp
AllyzentUniversity of Central Florida

Built and productionized LLM-powered workflows that generate contextual insights from structured financial data, including prompt/retrieval design, data standardization, and reliability controls like rate limiting and batching. Also diagnosed and fixed real-time failures in an automated order validation system using logs/metrics, staging reproduction, edge-case handling, retries, and alerting, while supporting sales/customer teams with demos, scripts, and FAQs to drive adoption.

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AM

Mid-level QA Engineer specializing in manual testing and API/OCR validation

Tasikmalaya, Indonesia3y exp
FinteliteIndonesian Computer University

Manual QA tester with ~3 years of experience and a strong gamer/end-user mindset, aiming to transition into console game testing. Has provided UX-focused feedback to product leadership and prefers a collaborative, less-structured workflow (e.g., live testing with engineers in local environments to reduce downstream defects). Not yet familiar with console certification standards (TRC/XR/LOT) but highly motivated to learn.

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MA

Junior Full-Stack Software Engineer specializing in AI-powered SaaS

Remote1y exp
AgentNomics.aiCampbellsville University

Full-stack engineer from an early-stage AI SaaS startup who owned and shipped a production AI-powered PDF document chat and sharing feature end-to-end (React/TS + Node + Postgres on AWS). Demonstrates strong product thinking through layered success metrics and tight feedback loops, plus hands-on reliability/observability work (CloudWatch, structured logging, alarms) and robust ingestion pipeline patterns (idempotency, retries, reconciliation).

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Elena Cherpakova - Junior Full-Stack Software Developer specializing in React, Node.js, and AWS in Ottawa, Canada

Junior Full-Stack Software Developer specializing in React, Node.js, and AWS

Ottawa, Canada3y exp
WITT HubCode the Dream

Frontend engineer at WITT who led multiple end-to-end React/TypeScript products in fintech/e-commerce contexts, including a shopping cart with Stripe payments and a multi-step registration flow. Emphasizes scalable component architecture, strong QA (tests/reviews/linting), and performance work (lazy loading/memoization), plus disciplined rollout via feature flags and close product/design collaboration.

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Prasanth Kumar Korada - Mid-level QA Automation Engineer specializing in Playwright and cross-browser E2E testing

Mid-level QA Automation Engineer specializing in Playwright and cross-browser E2E testing

3y exp
QAPITOL QAUniversity of North Texas

QA automation engineer with strong end-to-end ownership of UI automation for financial transaction workflows, using Selenium/Playwright/Cypress and CI/CD gating. Improved suite robustness via UI-API validations, negative testing, and flake reduction (intercepts + data-testid), catching critical backend calculation issues before production and cutting regression runtime by 40%.

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Iskhak Ishmakhametov - Mid-level Full-Stack Software Engineer specializing in FinTech and real-time systems in Bellevue, WA

Mid-level Full-Stack Software Engineer specializing in FinTech and real-time systems

Bellevue, WA7y exp
ATLABYTEKumasi Technical University

Full-stack product engineer with a strong real-time systems focus: built and rolled out a WebSocket-based notifications system (with robust reconnect/resync and event ordering protections) that cut update latency to under 200ms. Also owned a workflow automation platform backend in FastAPI (JWT/RBAC, versioned APIs, standardized errors), designed the PostgreSQL schema for workflows/tasks/executions, and operated deployments on AWS ECS Fargate with blue-green CI/CD and performance stabilization via caching and autoscaling.

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BK

Intern Full-Stack/ML Engineer specializing in cloud-native web apps and LLM systems

Pasadena, CA2y exp
BloophEastern Illinois University

Machine learning lab assistant at Eastern Illinois University who productionized a voice-enabled conversational AI system: redesigned it with RAG, LoRA fine-tuning (including text-to-SQL), and safety guardrails, then deployed a scalable API supporting ~1,000 daily queries. Also partnered with customer-facing teams during a BlueFi internship by building demos/APIs and accelerating releases via Terraform + AWS CI/CD automation.

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SK

Sana Khan

Screened

Mid-Level Software Developer specializing in cloud-native microservices, iOS, and ML deployment

OK, USA3y exp
Oklahoma Christian UniversityOklahoma Christian University

Backend engineer with production ERP experience deploying microservices and improving performance/reliability using a metrics-driven approach (logs, latency, error rates). Has hands-on cloud/hybrid operations across AWS and Azure with Docker/Kubernetes, and has resolved real-world mobile sync issues by tuning timeouts/retries and reducing payload sizes. Builds configurable Python services to deliver customer-specific behavior without destabilizing the core codebase.

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CD

Chinmoy Das

Screened

Mid-Level Full-Stack Software Engineer specializing in AI agents and cloud platforms

Singapore, Singapore3y exp
FOOTPRINTIQ.AITezpur University

Backend/data engineer focused on climate/emissions data platforms, building production Python (FastAPI) microservices and AWS serverless/ETL pipelines (Glue/Athena/Lambda/EventBridge). Demonstrated strong reliability and observability practices plus measurable optimization wins, including cutting PostgreSQL query runtimes from minutes to seconds and reducing AWS costs from ~$6k/month to ~$400/month.

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MP

Junior Software Engineer specializing in backend, cloud, and data pipelines

New York, NY2y exp
Venchal ScientificUniversity of Cincinnati

Software engineer with demonstrated production performance wins (37% latency reduction) through SQL optimization, backend API redesign, and disciplined rollout practices (staging, feature flags). Experienced debugging distributed pipeline issues across infrastructure layers (memory pressure and network timeouts) and building AWS-based systems (Lambda + RDS) to handle request spikes, including work on a business-focused chatbot.

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YM

Intern AI/ML Engineer specializing in LLMs, RAG, NLP, and MLOps

Overland Park, USA3y exp
Acclaim LogixUniversity of Central Missouri

Built and deployed a production RAG-based internal document Q&A system using LangChain, vector search, and a dockerized FastAPI LLM service. Focused on reliability by systematically reducing hallucinations and improving retrieval through prompt grounding/abstention strategies, chunking and top-k tuning, and iterative evaluation with logged metrics and manual validation.

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BS

Bima Setiawan

Screened

Mid-level QA Engineer specializing in web and API test automation

Surabaya, Indonesia4y exp
Kemang Internet Pte LtdUniversitas Airlangga

Manual QA tester with experience testing a Germany-based medical website, including writing/executing test cases, regression/functional testing, and clear bug reporting using Jira. Interested in transitioning into console game testing; PlayStation user and actively uses AI tools (ChatGPT/Gemini) to generate test ideas and improve bug report clarity.

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KR

Kishan Ramani

Screened

Junior Game Designer specializing in Unity and Unreal Engine gameplay systems

Seattle, US2y exp
Level Up LiveLamar University

UE5 gameplay scripter focused on shipping-quality, player-facing systems in Blueprints—recently built a pickup-and-throw mechanic end-to-end with animation/physics integration, robust edge-case handling, and QA/debug tooling. Emphasizes modular, data-driven architecture for designer-friendly tuning, and uses Unreal/Blueprint profiling plus event-driven patterns to keep systems performant and scalable.

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Diego Torres - Mid-level Mobile Front-End Developer specializing in React Native apps in Anzoategui, Venezuela

Diego Torres

Screened

Mid-level Mobile Front-End Developer specializing in React Native apps

Anzoategui, Venezuela3y exp
Back9Universidad Nororiental Gran Mariscal de Ayacucho

Mobile/frontend engineer with hands-on ownership of major app initiatives, including migrating a telecom app from Ionic to React Native using an MVVM architecture and Jest unit testing. Built complex airline app experiences in React + TypeScript (booking, seat maps, Stripe payments) and improved maintainability by replacing a complex Redux-like booking flow with a simpler Context-based system; experienced working both as a solo mobile developer and within Agile teams using Jira/Notion.

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Joaquin De Losada - Mid-Level Software Engineer specializing in game development and full-stack systems

Mid-Level Software Engineer specializing in game development and full-stack systems

3y exp
Archonik, IncBrock University

Backend-focused developer who built a Python 4v4 matchmaking system using win/loss history plus an Elo rating model, validating and tuning it against a dataset of ~50 real games. Previously worked at Advanced Logistics Management building time-sensitive agriculture-site modules in a small dev team, coordinating work via Jira/Git and drafting documentation for a potential migration from XAMPP/CodeIgniter/Bluehost to Azure.

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