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Vetted Cross-Functional Collaboration Professionals

Pre-screened and vetted.

Cross-Functional CollaborationPythonAgileSQLJiraAWS
NA

Nicolas Arieu

Screened

Director-level Operations & Business Leader specializing in logistics, analytics, and scaling

Miami, FL29y exp
TATCO IndustriesUniversidad de Belgrano

“Operations and general management leader with experience spanning Citibank (Regional VP), a startup COO/GM role, and industrial operations at Tatco. Has delivered high-impact operational and technology changes including a Paychex payroll migration for 150+ employees and an ERP/subscriber migration of 200,000+ records that improved marketing execution and sales enablement, while also managing executive alignment and sensitive workforce matters.”

Operations managementData analyticsMicrosoft ExcelSQLReportingProcess improvement+58
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IS

Irfan Shaik

Screened

Mid-level AI Software Engineer specializing in risk and fraud detection

Los Angeles, California4y exp
VisaGeorge Mason University

“AI/software engineer with experience at Visa building a real-time transaction fraud/risk scoring microservice in the card authorization path (Python, Kafka, Kubernetes on AWS) with strict 120–150ms latency constraints and reason-code outputs for downstream decisioning. Owns ML backend end-to-end (data/feature engineering, model training, deployment) and has demonstrated production reliability work including latency spike mitigation, SLO-based observability, drift monitoring, and safe fallbacks to rule-based decisions.”

PythonPandasNumPyScikit-learnTensorFlowKeras+109
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RH

Rahul Hatkar

Screened

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

San Francisco, CA6y exp
Scale AIWebster University

“AI/ML engineer who has shipped production AI systems end-to-end, including an automated multi-channel (Gmail/WhatsApp/voice) candidate interviewing workflow and an enterprise RAG knowledge search platform. Demonstrates strong production rigor (monitoring, A/B tests, guardrails, schema validation, shadow testing) with quantified impact: ~60–70% reduction in interview evaluation time and ~20–30% relevance gains in RAG retrieval.”

A/B TestingAgileAnomaly DetectionAnsibleApache HadoopApache Spark+167
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JG

Jessica Graham

Screened

Senior Brand & Product Designer specializing in UX for AI and FinTech

Los Angeles, CA11y exp
CleanlabSuffolk University

“Senior/brand designer with portfolio work spanning fintech and AI SaaS, including leading the Daylight Grow launch for an LGBTQ+ audience across multiple channels (web, social, email, events, merch, OOH). Expanded Cleanlab’s Figma design system in close partnership with engineering and led visual QA to support fast, high-volume iteration without quality drift; also drove direct mail + landing page redesigns for Happy Money to improve acquisition performance.”

PrototypingDesign SystemsGraphic DesignWeb DevelopmentCross-Functional CollaborationProject Management+55
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PK

Pavan Kumar Malasani

Screened

Mid-level AI/ML Engineer specializing in financial risk, fraud detection, and GenAI

Remote, USA4y exp
CitigroupUniversity of Colorado Boulder

“GenAI/ML engineer in Citigroup’s finance environment who has deployed production RAG systems for investment banking under strict privacy and model-risk constraints. Built an internal-VPC Llama2 + Pinecone + LangChain solution with NER redaction and citation-based verification to prevent hallucinations, delivering major time savings, and also partnered with global finance executives to ship an AI early-warning indicator for treasury/liquidity risk.”

A/B TestingAmazon CloudWatchApache AirflowApache HiveApache KafkaApache Spark+137
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AD

Aniket Darade

Screened

Senior Digital Marketing Specialist specializing in performance marketing, SEO/SEM, and paid media

Mumbai, India5y exp
AccentureUniversity of Mumbai

“Performance marketer focused on full-funnel paid media systems across Meta, Google (Search + Performance Max), and TikTok, with experience scaling spend into the ~$80K–$120K/month range while maintaining strong ROAS. Emphasizes rigorous creative testing (6–10 launches/week with 72–96 hour decision windows), GA4 validation, and controlled budget scaling; cites a turnaround case improving CTR 30%, reducing Meta CPA 27%, and lifting blended ROAS to ~3.1x in ~3 weeks.”

Digital marketingSEOGoogle AdsSocial media marketingMeta AdsCampaign management+54
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SP

Sar Perlman

Screened

Director of Engineering specializing in AI/ML products and cloud data platforms

San Diego, CA15y exp
Within3Florida Atlantic University

“Hands-on engineering leader who has scaled teams quickly (hired 20 engineers in 4 months) and led major architecture shifts including monolith-to-microservices and serverless, async AI-driven medical data ingestion/search. Also drove a versioned-inventory redesign with auditability and rollback that reduced operational errors by 22%, and demonstrates strong incident response with clear stakeholder communication.”

API GatewayAWSBudget ManagementCI/CDComputer VisionCross-functional Collaboration+82
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TC

Tracy Clancy

Screened

Director-level Talent Acquisition leader specializing in GTM, Sales, EPD, and AI/ML hiring

14y exp
AcostaYork University

“Talent acquisition leader who has managed recruiting orgs of up to 25 direct reports and can also jump in hands-on for SLT/ELT executive searches. Built end-to-end recruiting operations from a blank slate at Lumos (SOPs, KPIs, rubrics, ATS workflows) to enable rapid scaling, and partnered with ELT/Finance on a global contractor/freelancer platform rollout with cost, compliance, and worker-classification risk considerations.”

RecruitingWorkforce PlanningTeam LeadershipCoachingMentoringStakeholder Management+126
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TW

Tabitha Wallace

Screened

Director-level Talent Acquisition & TA Operations leader specializing in scalable recruiting transformation

New York, NY14y exp
ICFUniversity of Alabama

“Talent acquisition leader with experience managing recruiter/sourcer teams (7–13 direct reports) and partnering closely with HRBPs and executive stakeholders on workforce planning, org design, and compensation strategy. Drove measurable recruiting outcomes, including implementing HireEZ to modernize sourcing (18% time-to-fill reduction) and successfully staffing a large government contract requiring ~150 hires by influencing leadership to adjust below-market compensation.”

Workforce PlanningVendor ManagementStakeholder ManagementCross-Functional CollaborationChange ManagementCompliance+86
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MM

Michelle McCalla

Screened

Director-level HR Business Partner specializing in change, integration, and organizational effectiveness

New York, NY18y exp
Boldyn NetworksThe New School

“HR/People leader specializing in complex change and employee relations, including post-acquisition integration and multi-company rebranding environments. Built an end-to-end playbook to integrate 75 acquired employees (job mapping, comp/incentives, classification changes, HRIS/payroll execution, legal risk mitigation) that became a regional template, and is known for influencing resistant leaders while maintaining compliance and trust.”

Change ManagementRecruitingOnboardingPerformance ManagementProcess ImprovementDashboarding+109
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DR

Daniel Riskey

Screened

Director-level Talent Acquisition leader specializing in pathway programs and high-volume hiring

20y exp
Child Development SchoolsTexas Tech University

“Talent Acquisition/Recruiting Operations leader with experience across aviation, technology, corporate/finance, and education. Led a 12-person TA org and drove major operational transformations, including a Southwest Airlines pilot pipeline program cutting time-to-cockpit from ~10 years to ~4 and forecasting 400–600 pilots annually at peak. Recently served as primary TA stakeholder for an iCIMS-to-ADP RM ATS migration, simplifying workflows and reducing recruiter administrative work by ~70%.”

OnboardingWorkforce planningStakeholder managementCross-functional collaborationProgram managementBudget management+68
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AB

Anuj Bubna

Screened

Senior DevOps/SRE Engineer specializing in cloud automation, reliability, and data pipelines

10y exp
IntuitUniversity of Texas at Dallas

“Hands-on technical professional experienced in taking LLM/AI-adjacent integrations from prototype to production, using customer observation to refine UX and uncover edge cases. Diagnoses workflow issues in real time using logs and Sankey-style workflow analysis, and communicates fixes with clear short/long-term plans plus proactive alerting. Also partners cross-functionally to drive adoption and cost savings, including a POC around IBM Sterling Integrator that reduced licensing costs by $30K/year.”

DevOpsAutomationRetrieval-Augmented Generation (RAG)Data EngineeringETLAWS+121
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PC

Pedro Cutino

Screened

Executive Product Management leader specializing in B2B SaaS, cloud, AI and FinTech

Holmdel, NJ25y exp
WorkWaveRutgers Business School

“Operations/product leader with experience integrating product organizations after acquisitions, standardizing Agile/PDLC and RACI to remove ambiguity and enable on-time launches. Hands-on in implementing Jira-based execution frameworks and mentoring exec teams on KPI/OKR operating cadence, including adopting a Product/Engineering/UX triad model to reduce rework and improve customer alignment.”

Product ManagementGo-to-Market StrategyBusiness IntelligenceAnalyticsStakeholder ManagementCross-Functional Collaboration+66
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AD

Aditya Deshpande

Screened

Junior Full-Stack Software Engineer specializing in AI data systems

New York, NY1y exp
SEPAL AINYU

“Full-stack engineer with strong DevOps/AWS production experience who builds and operates multi-agent AI systems end-to-end (Streamlit/Python through Docker/Kubernetes and ECS/Fargate). Has delivered measurable outcomes: sub-2s latency and ~92% routing accuracy for an AI wellness assistant, shipped an AI-for-BI prototype in under 6 weeks cutting analysis time ~40%, and improved pipeline iteration speed ~35% via modularization and CI/regression checks.”

API DesignData ModelingPerformance OptimizationRetrieval-Augmented Generation (RAG)Data EngineeringETL+117
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AK

Arun Kumar

Screened

Senior Engineering Manager specializing in data-intensive SaaS, FinTech, and AgTech products

San Francisco, CA13y exp
Farmers Business NetworkJohns Hopkins University

“Engineering manager leading a 15-person team at FBN on the Gridbull platform, shipping a self-serve pricing/quoting tool for structured commodity products using real-time futures market data. Owns architecture and reliability for third-party data integrations (WebSocket + REST fallback), including resolving a day-one production incident caused by undocumented vendor connection resets. Introduced lightweight Technical Implementation Plans to improve cross-functional alignment and delivery speed in a high-growth environment.”

AgileAsynchronous processingAWSAWS LambdaCI/CDCross-functional collaboration+62
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RB

Ryan Bautista

Screened

Senior QA Analyst specializing in AR/VR, mobile, web, and console testing

Culver City, California11y exp
Dreamscape LearnLos Angeles Film School

“Game QA professional with live production experience owning QA strategy for a cross-platform seasonal loadout system in a live server shooter. Works in Agile/Scrum with CI/CD, using Jira + TestRail (including two-way sync) to drive traceable test coverage and fast triage via evidence-rich bug reports. Emphasizes risk-based coverage, regression discipline across builds, and converting gameplay feel into actionable design/engineering feedback.”

Manual TestingRegression TestingSmoke TestingTest Case DesignTest PlanningJira+72
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RW

Reyna Wan

Screened

Intern Operations & Business Analytics professional specializing in supply chain performance

Los Angeles, CA4y exp
DHL Supply ChainUSC

“Operations/project management intern with hands-on procurement and supply chain analytics experience: owned end-to-end sourcing and vendor negotiations for a 20,000 sq ft luxury estate and helped recover a project that was 2 months behind schedule. At DHL Supply Chain (Campbell’s account), built Power BI dashboards from WMS (Blue Yonder) data and used time studies to uncover a six-figure labor cost issue, influencing multi-stakeholder operational changes.”

Microsoft ExcelPythonPower BIData AnalysisDashboard DevelopmentProcess Improvement+48
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BD

Biswajit Dash

Screened

Senior Platform/DevOps Engineer specializing in CI/CD and Observability

Milpitas, CA25y exp
CiscoUniversity of Madras

“DevOps engineer focused on CI/CD who built and productionized LLM/MCP-based chat agents integrated into Cisco Webex to help developers troubleshoot PRs and pipelines via GitHub/Jenkins data. Strong in operationalizing agentic systems with observability (OpenTelemetry/Grafana), user-scoped rate limiting, and Kubernetes-based scaling, and has presented demos on agent SDK capabilities and DORA metrics dashboards.”

AlertingAnsibleArgo CDAWSCI/CDCloud Computing+72
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JP

Jasmine Powers

Screened

Director-level Retail Media & Ad Operations Leader

Fort Lauderdale, FL12y exp
Lowe's

“Senior Campaign Manager who owns $50K–$250K/4-week high-spend accounts across Meta, Google, TikTok, and Yahoo programmatic display. Led a $120K mixed-media launch for P&G focused on new-to-brand purchases (including an incremental lift study) and uses disciplined testing plus saturation/impression-share diagnostics to reallocate budget—driving a reported 25% conversion lift with stable CPA.”

Google AnalyticsTableauTeam leadershipCampaign managementData analysisReporting+56
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AM

Aaron Mcanerney

Screened

Mid-level Backend Software Engineer specializing in data platforms and reporting

Pleasanton, CA5y exp
Workday

“Built a production Medicare Q&A chatbot using OCR (pytesseract), LangChain chunking, ChromaDB embeddings/retrieval, and an Ollama LLM. Thinks in terms of practical tradeoffs (cost, model selection, static vs frequently-updated corpora) and emphasizes deterministic testing plus observability for reliable LLM workflows; also has experience automating non-technical teams' pain points (e.g., recruiting event integration).”

AWSAWS LambdaBusiness IntelligenceCachingData WarehousingDistributed Systems+58
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JT

Jonathan Tucker

Screened

Mid-level Esports & Game Operations Leader specializing in strategy, analytics, and live events

San Francisco, CA9y exp
Ubisoft

“Game designer with shipped multiplayer FPS experience on XDefiant, owning end-to-end mode design and tuning (Capture the Flag) and co-designing the Hardpoint spawn system across maps. Builds and iterates prototypes directly in Unreal Engine 5 using Blueprints, and has navigated real console/engine performance constraints and post-launch fixes while maintaining competitive integrity.”

Team leadershipProject managementCross-functional collaborationBudget managementStakeholder managementData analysis+44
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NM

Ninad Murthy

Mid-level Supply Chain Planning Analyst specializing in global planning and procurement analytics

Los Angeles, CA4y exp
AccentureUSC
SQLMicrosoft OfficeMicrosoft WordMicrosoft PowerPointMicrosoft TeamsJira+62
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BR

Benjamin Rosenberg

Mid-level Video Investment Manager specializing in linear and digital media buying

New York, NY6y exp
Publicis GroupeUniversity at Albany
Campaign ManagementBudget ManagementVendor ManagementCross-Functional CollaborationTeam LeadershipMentoring+44
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DT

Dylan Tarre

Executive Product Designer specializing in design systems and product foundations

19y exp
LG Media, LLCFull Sail University
Adobe Creative SuiteAgileAutomationBitbucketConfluenceCross-Functional Collaboration+39
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