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Vetted Cross-Functional Collaboration Professionals

Pre-screened and vetted.

Cross-Functional CollaborationPythonAgileSQLJiraAWS
JG

Julie Goldstein

Screened

Senior People Operations & HR Leader specializing in employee experience, HRIS/ATS, and M&A

New York, NY14y exp
InpixonCulinary Institute of America

“HR leader/HRBP with global team management experience who has driven high-impact people operations initiatives across many functions (Sales through Engineering and Legal). Implemented a company’s first HRIS and ATS integration while scaling hiring (52 FTEs in <10 months), cutting operating costs 35% and improving retention. Also led year-long post-merger integration of culture and core people programs and managed multiple layoffs with strong compliance and zero legal claims.”

BudgetingChange managementCross-functional collaborationForecastingPerformance managementWorkforce planning+95
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AA

AB Alzaki

Screened

Senior Game Operations Specialist in live ops, QA, localization, and community management

Indonesia10y exp
FreelanceIPB University

“Game QA professional with hands-on PC/mobile testing experience on major titles including Call of Duty Mobile and PUBG Lite at Garena Indonesia. Has run full-cycle functional/regression testing plus live ops coordination across multiple regions, using standardized bug/reporting workflows and dashboards to keep distributed teams aligned. Familiar with the intent of console certification-style requirements (UI consistency, error handling, save/load, localization formatting) despite not having direct TRC/XR/LOT submission experience.”

Quality assuranceFunctional testingRegression testingPerformance testingTest planningCustomer service+72
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AC

Alexander Conn

Screened

Principal Data Scientist specializing in cybersecurity ML and MLOps

New York, NY15y exp
Beyond IdentityIowa State University

“ML/NLP engineer (Beyond Identity) who built production semantic search and entity-resolution systems over internal security documentation, using LDA + BERT embeddings with FAISS/Pinecone to cut search time by 30%. Also scaled a real-time anomaly detection pipeline to millions of events/day with Spark and AWS Lambda, with strong emphasis on measurable validation (Precision@k, MRR, F1, ARI).”

Machine LearningArtificial IntelligenceSupervised LearningUnsupervised LearningDeep LearningComputer Vision+118
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MK

Manikandan Krishnan

Screened

Senior Platform Engineering Lead specializing in AWS Cloud & DevSecOps

Phoenix, AZ19y exp
University of PhoenixMadurai Kamaraj University

“Infrastructure/Platform-focused engineering leader who led a large-scale AWS modernization, standardizing Terraform IaC and embedding security/policy validation into CI/CD to reduce drift and improve auditability. Also delivered data reliability improvements by incrementally migrating key integrations to an event-driven Kafka model with DLQs and lag monitoring, and has hands-on incident leadership using observability tooling (New Relic).”

Amazon RDSAmazon S3API DevelopmentAWSCI/CDCross-Functional Collaboration+103
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AI

Anwer Iqbal

Screened

Senior Technical Support & Customer Success Engineer specializing in SaaS, solar, and medical devices

Tracy, CA29y exp
IronRidgeUniversity of Oklahoma

“Customer-facing technical specialist with experience spanning regulated Class II/III medical devices (FDA compliance, firmware vulnerability escalation) and large-scale industrial/energy deployments. Known for rigorous troubleshooting using logs/network traces and tight documentation/escalation in Salesforce, plus repeatable onboarding and integration practices (API into CI/CD, secrets via env vars, container standardization).”

TroubleshootingCross-functional CollaborationCRMSalesforceTechnical DocumentationPrompt Engineering+83
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HB

harman Barpaga

Screened

Junior Software Developer specializing in backend microservices and DevOps

Mississauga, Canada2y exp
Bell MobilityBrock University

“Built and operated a real-time student event/party discovery platform with map-based search, RSVP, and authentication using React/TypeScript, Node.js, and Firebase Firestore. Demonstrates strong backend correctness under concurrency (transactions, idempotency, retries/backoff) and solid API product thinking (versioning, Swagger docs, structured errors, cursor pagination), including custom geospatial querying via Haversine filtering.”

JavaPythonJavaScriptC++C#Spring Boot+67
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AN

andrew Namminga

Screened

Executive Product & Platform Leader specializing in hardware/software systems

United States, USA15y exp
Andesign LabCalifornia State University, Long Beach

“Industrial design + mechanical engineering product developer with 15 years in venture-backed startups and venture studios, including CTO-level leadership and a recent equity exit. Now building a sustainability/recycling technology venture with a prototype and patent counsel engaged, currently in the City of Austin Circular Economy Accelerator and aiming to secure a municipal waste-management pilot partner at an upcoming pitch event.”

Cross-Functional LeadershipQuality AssuranceRisk ManagementRegulatory CompliancePrototypingChange Leadership+61
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FT

Filmon Tesfay

Screened

Senior Full-Stack Developer specializing in cloud-native FinTech and AI platforms

New York, NY8y exp
Wells FargoMaharishi International University

“Full-stack engineer with strong production ownership: built and operated a real-time transaction monitoring/fraud-alerting system using Java Spring Boot, Kafka, Docker, and AWS with CI/CD. Demonstrates metrics-driven operations (latency, stability, consumer lag, true/false positives) and reliability patterns for integrations (idempotency, retries/backoff, DLQs, reconciliation/backfills), plus modern React/TypeScript + Node/Postgres architecture experience.”

JavaGradleSpring BootSpring MVCHibernateJavaScript+195
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PA

PAVEL A ASPIAZU

Screened

Senior Paid Media (SEM/PPC) Manager specializing in Google Ads and Meta performance marketing

McLean, VA26y exp
ShiftMedLos Angeles Valley College

“Paid media performance marketer with agency experience owning a high-spend account for ArcPoint Labs, running multi-channel Google Ads (search/display) and Meta campaigns to drive medical testing appointments and sales. Reported lifting ROAS from ~2x to ~6–7x within ~18 months while supporting expansion from 30 to 60 U.S. locations, using disciplined attribution, constant A/B testing, and structured campaign health audits.”

Google AdsGoogle AnalyticsMeta AdsBudgetingDashboard developmentData analytics+267
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SM

Shterna Munitz

Screened

Senior Software Engineer specializing in AI/ML and cloud-native microservices

NYC Metropolitan Area7y exp
SYYMETouro University

“Backend/platform engineer with production experience building a Python SDK over a microservices ecosystem, emphasizing reliability (JWT auth, retries/timeouts, custom exceptions) and integration testing. Has delivered AWS EKS microservices with Jenkins+Helm CI/CD, strong secrets/config separation using AWS Secrets Manager, and set up Datadog APM/deployment/change monitoring. Also modernized legacy VB applications to C#/.NET WPF via incremental migration with parity testing and stakeholder sign-off.”

Machine LearningBackend DevelopmentFull-Stack DevelopmentCloud-Native ArchitectureMicroservicesCross-Functional Collaboration+83
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TA

TOLUWANI ALAKABA

Screened

Mid-level Digital Marketing & Social Media Strategist specializing in multi-platform growth

Kamloops, BC8y exp
FiverrThompson Rivers University

“Creator-led growth and digital marketing professional with experience as a media team lead and agency-side marketer (Furst spark), sourcing and negotiating creator partnerships for events, fintech apps, and lifestyle subscription launches. Runs data-driven, cross-platform campaigns (Instagram, TikTok, YouTube Shorts, Twitter/X) with trackable links and rapid optimization; reports doubling engagement rate in a fintech acquisition experiment and driving repeat creator collaborations.”

Digital MarketingContent StrategySEOEmail MarketingA/B TestingData Analytics+97
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SC

Sudeepti Chalamalasetti

Screened

Mid-level AI/ML Engineer specializing in LLMs, RAG, and MLOps

Atlanta, GA4y exp
Universal Health ServicesUniversity of New Haven

“Built a production RAG-based healthcare chatbot to retrieve patient medical documents spread across multiple platforms, reducing manual and error-prone searching. Implemented semantic search with custom embeddings (Hugging Face) and Pinecone, deployed via FastAPI/Docker on AWS SageMaker with MLflow tracking, and optimized fine-tuning cost using LoRA while orchestrating retraining pipelines in Airflow.”

A/B TestingAnomaly DetectionAudit LoggingAWSAWS GlueAWS Lambda+123
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MG

Michael Gregorio

Screened

Mid-level Quality Analyst specializing in supplier audits, inspections, and product compliance

Gardena, CA4y exp
RuggableCalifornia State University, Northridge

“Sourcing and supply chain professional specializing in rug manufacturing (high-pile synthetic and tufted medium-pile), owning vendor selection, cost negotiation, and production/QC through delivery. Proactively mitigated tariff risk by driving a China-to-Vietnam production shift and improved a struggling supplier’s OTD and defect rates through FMEA-based QC, SOPs, CAP, and factory process/equipment interventions.”

Quality assuranceCross-functional collaborationData analysisMicrosoft ExcelSupplier quality auditsInspection and testing+61
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LA

Leo Almada

Screened

Director-level Finance & HR Operations leader specializing in governance, HRIS, and e-commerce finance

New York, NY11y exp
Magnum PhotosBaruch College

“Currently at Magnum managing a small global team (NY/London/Paris) and leading analytics operations, including financial reporting for a Shopify-based ecommerce platform. Partnered directly with a newly appointed CFO and COO during a significant org change involving elimination of three global director roles, coached the COO through difficult conversations, and supported a senior promotion that included navigating an H-1B visa process.”

BudgetingForecastingWorkforce PlanningOnboardingVendor ManagementCompliance+102
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AK

Akshay Katageri

Screened

Mid-level AI Engineer specializing in multi-agent systems and RAG

Jersey City, NJ4y exp
Elevance HealthPace University

“Built and shipped a production LangGraph-based multi-agent LLM analytics/decision copilot that answers questions across SQL/BI systems and unstructured docs, emphasizing grounded, tool-verified outputs with citations and confidence gating. Deep hands-on experience with orchestration (LangGraph, CrewAI, OpenAI Assistants, MCP) plus real-world latency/cost optimization (vLLM batching/KV caching, speculative decoding, quantization) and rigorous eval/observability. Partnered closely with business/ops stakeholders to deliver explainable reporting automation, cutting manual reporting time by 50%+.”

Cross-Functional CollaborationData PipelinesDockerFAISSFeature EngineeringFlask+106
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RG

Ryan Grijalva

Screened

Mid-level Lifecycle & Email Marketing Manager specializing in automation and multi-channel campaigns

Irvine, California4y exp
BlueX TradeUC Riverside

“Lifecycle/CRM marketer who built financing-journey email campaigns at Blue X Trade using Mailchimp and n8n, including an AI agent to validate user info and trigger instant correction emails—improving retention and ROI. Runs structured A/B tests on dynamic personalization (name/location/trading country) that increased engagement and bookings, and has led cross-functional promotions while managing third-party rewards integration issues with monday.com.”

Email MarketingCampaign ManagementMarket ResearchLead GenerationSocial Media MarketingSEO+59
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FC

Frank Carrabba

Screened

Executive Software Engineering Leader specializing in SaaS product delivery and global SDLC

Seattle, WA35y exp
RepleniumMerrimack College

“Engineering leader with experience at Replenium, Savo Group, Radnet, and MatricOne, focused on business-aligned roadmaps and transparent, servant-style leadership. Notable for scaling teams quickly (18→36 in 6 months) and resolving high-impact performance incidents by leveraging DevOps data (reframed a suspected memory leak as a memory spike). Has led pragmatic build-vs-buy architecture decisions (waiting for a Microsoft transaction server) and uses Agile/CI/CD practices to drive consistent delivery.”

Project ManagementProgram ManagementSDLCProcess ImprovementOperations ManagementBudget Management+88
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AC

Ann Chua

Screened

Director-level Casino Marketing & Loyalty Program Leader

Van Nuys, California16y exp
Commerce CasinoDe La Salle University

“CRM/lifecycle marketer with experience reactivating inactive members in a gaming/loyalty context, using RFM-style segmentation and multi-channel journeys (email plus host phone outreach). Demonstrated measurable lift (20% reactivation/engagement) and optimization through A/B testing of incentive strategy, while coordinating closely with Creative, Operations, and Compliance during major campaigns.”

Project ManagementCampaign ManagementData AnalysisBudget ManagementForecastingRegulatory Compliance+60
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HY

Hao-Yu Yeh

Screened

Staff Field Application Engineer specializing in AI infrastructure and system bring-up

Fremont, CA18y exp
AivresIllinois Institute of Technology

“Field Application Engineer with a unique background as a former primary school teacher (6 years), leveraging strong communication to translate complex networking/AI concepts for customers. Has supported network analytics/ML platforms with LLM-powered recommendations, using sandbox reproduction and Kibana log analysis to troubleshoot issues. Experienced partnering with sales/CPM and third-party vendors to resolve data center deployment blockers (AI servers and cooling systems).”

TroubleshootingCross-functional CollaborationLog analysisKibanaMicroservicesData warehousing+67
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RS

Rahul Solleti

Screened

Mid-Level Software Engineer specializing in cloud-native microservices and full-stack web apps

United States5y exp
Dell TechnologiesUniversity of Central Missouri

“Backend/platform engineer focused on real-time financial fraud detection and transaction monitoring, building low-latency FastAPI + Kafka systems with strong reliability patterns (DLQs, idempotency) and cloud observability. Has hands-on Kubernetes delivery across AWS EKS and Azure AKS with automated CI/CD and GitOps-style deployments, plus experience migrating legacy C# / Java monoliths to containerized microservices using Terraform/ARM and zero-downtime rollout strategies.”

JavaScriptTypeScriptTailwind CSSBootstrapD3.jsResponsive Web Design+123
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PK

Pravalika Kuppireddy

Screened

Mid-level AI/ML Engineer specializing in Generative AI and intelligent automation

4y exp
University of Michigan-DearbornUniversity of Michigan-Dearborn

“LLM engineer who built and productionized a system to classify GitHub commits (performance vs non-performance) using zero-/few-shot approaches over commit messages and diffs, working at ~5M-record scale on multi-node NVIDIA GPUs. Experienced orchestrating end-to-end LLM pipelines with Airflow and GitHub Actions, and emphasizes reliability via testing, guardrails, and observability while collaborating closely with non-technical product stakeholders.”

PythonSQLJavaC++Scikit-learnPyTorch+133
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SB

Sheldon Barrett

Screened

Mid-level Relationship Banker specializing in consumer and small business banking

New York, New York9y exp
Bank of AmericaFrancis Lewis High School

“Relationship banker selling consumer and small-business banking products, using Salesforce-driven lead prioritization and a disciplined multi-channel outreach cadence (phone/email/text) to build and deepen a client portfolio. Leverages customer behavior insights to tailor conversations and drive outcomes like warm transfers to lending specialists, and has experience integrating newly launched banking products into client discovery.”

Cross-Functional CollaborationSalesforceCustomer ServiceClient Relationship ManagementMetrics-Driven SalesConsultative Communication and Problem Solving+54
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AR

Aditya Rajendra

Screened

Mid-level Product & Program Associate specializing in sourcing, pricing, and analytics

Orange, CA3y exp
MS InternationalWashington University in St. Louis

“Sourcing professional who led Home Depot WPC flooring launches and custom direct-ship container projects, combining landed-cost/tariff modeling with hands-on supplier onboarding and third-party testing coordination. Known for data-driven negotiations (e.g., securing a 30-point margin and winning price concessions that drove repeat 20-container orders) and for streamlining cross-functional onboarding via Jira to cut cycle time by 25%.”

AgileConfluenceContract NegotiationData AnalysisDevOpsForecasting+88
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SJ

Samuel Joseph

Screened

Senior Media Producer specializing in video, audio, and digital content strategy

Boston, MA7y exp
Berklee College of MusicBerklee College of Music

“Video producer with 4 years at Berklee College of Music leading end-to-end production for online music education (degree/graduate/non-degree), with clips published via Berklee Online Learning’s YouTube. Combines high-end cinema camera experience (RED KOMODO/V-RAPTOR, Zeiss/Sigma) with deep audio engineering skills (Pro Tools, Logic, Ableton) and social/marketing content leadership for Bean House Productions and a gospel label (Red Alliance Media).”

Video ProductionContent StrategySocial Media MarketingCross-Functional CollaborationTeam LeadershipProject Management+47
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