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Vetted Jira Professionals

Pre-screened and vetted.

PS

Executive HR & Talent Leader specializing in scaling global teams across Tech, Web3 and Gaming

Buenos Aires, Argentina18y exp
BairesHRIAE Business School
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SS

Executive CTO/VP Engineering specializing in high-performance AI, data systems, and distributed infrastructure

Vancouver, Canada20y exp
Clustera
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DS

Senior Game Designer specializing in systems, live ops, and monetization

Emeryville, CA10y exp
A1 Trading Academy
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SV

Senior QA Engineer specializing in test automation, API and performance testing

FL, USA10y exp
PwC
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RT

Senior QA Engineer specializing in mobile, platform, and game QA automation

9y exp
Apple
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SM

Salaama Milligan

Screened ReferencesStrong rec.

Executive Operations & Program Management Leader specializing in global transformation

Elizabeth, NJ25y exp
IPG MediabrandsKean University

Operations/PMO leader across IPG Mediabrands, Kinesso, and IPG Corporate with deep experience building executive governance systems and cross-functional operating rhythms. Led high-visibility transformations including a $36M global rebrand and created data-backed dashboards/cadences that improved efficiency (10–20%) and executive alignment, including oversight of a 175M monthly media spend analysis.

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KG

Khaliun Gerel

Screened ReferencesStrong rec.

Senior Full-Stack Engineer specializing in cloud, web, and mobile platforms

New York, NY7y exp
GertechColumbia University

Full-stack product engineer who has owned end-to-end delivery of multi-client platforms: Finy (agriculture platform with 3 role-based web dashboards plus 2 field mobile apps) and Ugoku (Japanese studio platform with React/TypeScript dashboards, Node/Mongo backend, and mobile AR video playback). Strong in scalable architecture and performance—offline-first mobile for low connectivity, and AWS-based asynchronous video/AR processing with S3/CloudFront—plus building internal ops tools adopted quickly due to measurable workflow improvements.

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OE

Osaze Edo-Osagie

Screened ReferencesStrong rec.

Senior Frontend/Full-Stack Engineer specializing in React and TypeScript

New York, USA7y exp
MeltwaterUniversity of Nottingham

Frontend engineer from Meltwater who led delivery of a universal post details modal used across multiple apps, integrating three different frontend frameworks (Vue, React, StencilJS) into a plug-and-play StencilJS feature. Built scalable, reusable UI components and even helped create an internal CSS library/design system, with a strong focus on performance optimization and reliable QA-driven rollouts.

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SK

Sean Keppler

Screened ReferencesStrong rec.

Principal Space Systems Engineer specializing in spacecraft and payload architecture

Remote, US7y exp
Space OceanAir Force Institute of Technology

Previously supported capital raising at Space Ocean Corp by securing several thousand dollars in grant funding and building investor-readiness/outreach materials. Has early exposure to VC/studio/accelerator meetings and articulates nuanced differences in their incentives and time horizons. Interested in refining skills as an early-stage CTO and is highly committed to entrepreneurship.

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JN

JYOTHI N

Screened ReferencesStrong rec.

Senior Data Scientist specializing in analytics, experimentation, and BI on AWS

Austin, TX7y exp
AmazonJawaharlal Nehru Technological University

Data/ML practitioner focused on healthcare data quality and record linkage: analyzed 10M+ records, built anomaly detection and NLP-driven entity resolution, and automated AWS ETL/validation pipelines (Glue/Redshift/Lambda), cutting data errors by 40% and generating $500k in annual savings. Has hands-on experience with embeddings (Sentence Transformers/spaCy), FAISS vector search, and fine-tuning for domain-specific matching.

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VB

Intern AI/ML Engineer specializing in LLM applications and data infrastructure

Redmond, Washington, USA3y exp
UberUniversity of Memphis

Hands-on LLM practitioner who built a production document-processing pipeline in Python, tackling long-document handling and latency with chunking/batching and a user-driven correction feedback loop. Experienced operationalizing AI workflows with Kubernetes (CronJobs, autoscaling, scheduled data cleaning and weekly retraining) and applying structured testing/evaluation (E2E, LLM-as-judge, HITL) while communicating solutions clearly to non-technical clients using visual diagrams.

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AP

Ajith P

Screened

Mid-level Backend Software Engineer specializing in AI workflow automation for finance and healthcare

4y exp
Goldman SachsUniversity of Central Missouri

Backend/AI engineer with healthcare domain experience who built a patient journey analytics API (FastAPI/PostgreSQL/Snowflake/Redis) and debugged peak-hour latency down from ~900ms to ~50ms via indexing and query optimization. Shipped an LLM-powered clinical summary/recommendation assistant end-to-end and designed a multi-step risk evaluation agent workflow with safety guardrails against hallucinations and unsafe outputs.

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VM

Vamsi M

Screened

Senior QA Automation Engineer specializing in Playwright UI and API test automation

Phoenix, AZ7y exp
American ExpressUniversity of North Texas

QA automation engineer with American Express experience owning an end-to-end UI regression suite for critical payment/transaction workflows. Rebuilt the suite with Playwright (BDD/TestNG/POM) and integrated it into CI to catch release-blocking issues like UI/backend payment mismatches and session timeout defects, and applies risk-based test strategy including MFA payment flows.

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HK

Mid-Level Full-Stack Software Engineer specializing in cloud-native data platforms

Austin, TX5y exp
Northeastern UniversityPenn State University

LLM/agentic systems practitioner who specializes in moving customer prototypes into production within microservices environments, emphasizing reliability, latency, security, and measurable success metrics. Experienced in real-time troubleshooting using logs/traces and in enabling adoption through hands-on developer workshops (including live coding in Java Spring Boot) and pre-sales POCs that address technical objections and integration risk.

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JC

Jenny Cheng

Screened

Junior Full-Stack/ML Engineer specializing in LLM applications and cloud deployment

Remote, USA1y exp
MetaUC Irvine

Full-stack developer with capstone and project experience delivering production-ready systems in unstructured environments, including a Faculty Tracking system for real departmental use. Strong in React performance debugging (re-render optimization with useMemo), Prisma-backed multi-database setups (MySQL local / SQL Server production on a UCI Health VM), and end-user support workflows that feed back into improved Help documentation.

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AR

Abhyush Rajak

Screened

Mid-level Backend Software Engineer specializing in FinTech APIs and microservices

California, USA4y exp
VisaCalifornia State University, Long Beach

Backend/event-driven systems engineer who built an end-to-end “software robot” for AI-driven invoice processing: FastAPI ingestion + OCR integration + classification mapping, with strong emphasis on reliability (idempotency, retries) and scalability (background workers, event-driven architecture). Experienced in production-grade distributed systems tooling (Kafka, Docker/Kubernetes, GitHub Actions, ArgoCD) and real-time debugging via tracing/telemetry, and expects $10k–$12k/month.

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SK

Mid-level Product Lead and Customer Success Manager specializing in SaaS analytics and GTM

Mountain View, CA2y exp
StealthSanta Clara University

Enterprise CSM with experience at IBM and Cloudera, focused on AI and cloud modernization engagements. Drives adoption, renewals, and expansion by building success plans with measurable ROI/usage outcomes, mediating complex stakeholder priorities, and unblocking deployments through tight Product/Engineering/Sales coordination. Also brings strong GTM analytics capability (Salesforce/HubSpot/GA/Tableau/SQL) to improve funnel performance and pipeline conversion.

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AF

Mid-level Technical Consultant specializing in cloud automation and enterprise integration

Clinton, NJ7y exp
IBMNYU

Insurance-domain engineer with hands-on mainframe (CICS) + modern cloud (AWS) experience who built a life-insurance quoting service end-to-end, including JSON-to-mainframe middleware and REST APIs with detailed business error handling. Led a tax-form legacy modernization by moving disorganized mainframe extracts into an event-driven S3/Lambda/Python cleanup pipeline to reduce mainframe load and isolate failures.

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JK

Jasveen Kaur

Screened

Senior Technical Program Manager specializing in AI automation and analytics

Santa Clara, CA6y exp
IntelSan José State University

Recruiting/Talent Operations leader with deep Lever ATS and analytics experience who led a high-impact Grace Hopper Conference program, creating attribution tracking via unique links and coordinating IT/engineering/TA to drive thousands of applicants and improved operational outcomes. Redesigned recruiter–hiring manager intake and alignment workflows with automation, improving time-to-fill by ~20%, and led compliance initiatives including pay transparency and ADA-accessible job descriptions using CommonLook/PAC in partnership with Legal and Compensation.

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MM

Max Matkovski

Screened

Junior Machine Learning Engineer specializing in data pipelines and applied AI

San Francisco Bay Area, CA3y exp
Ontra MobilityGeorgia Tech

Built a production AI agent for phishing fraud detection using n8n orchestration, Claude (Sonnet 4/MCP), VirusTotal, and JavaScript formatting to generate and deliver email-based reports via Gmail. Has experience evaluating detection accuracy against known examples, iterating via feedback, and presenting AI solutions to non-technical teams.

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TA

Tauhid Arah

Screened

Senior DevOps Engineer specializing in AWS cloud platform engineering and Kubernetes

The Bronx, NY12y exp
NETGEARFederal University of Technology Minna

Cloud-focused DevOps/Infrastructure engineer with hands-on AWS high availability, migration cutovers, and production automation. Built Jenkins-based CI/CD pipelines (Git, SonarQube, Artifactory) and manages Terraform IaC with S3/DynamoDB remote state, PR-based reviews, and staged environment promotion; targets $160k base. No direct IBM Power/AIX/PowerHA experience.

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HC

Hongxi Chen

Screened

Intern Software Engineer specializing in distributed systems and backend infrastructure

Beijing, China0y exp
Chinese Academy of SciencesUniversity of Nottingham

Backend engineer with deep experience building event-driven logistics systems (orders, warehouse execution, real-time delivery tracking) using Spring Boot/PostgreSQL/Redis and strong observability (Prometheus/Grafana). Led a zero-downtime migration from monolithic MySQL to a sharded architecture for ~2M users with dual-write, checksum validation, and fast auto-rollback, and has strong security expertise including PostgreSQL RLS for multi-tenant SaaS and robust OAuth/JWT handling.

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