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Vetted Automation Professionals

Pre-screened and vetted.

SM

Sam McKenzie

Screened

Mid-level Business Operations & FP&A professional specializing in RevOps automation and GTM strategy

Remote7y exp
BuildZoomUC Berkeley

At BuildZoom, led cross-functional alignment to launch a new product (Data Explorer) and grew it from $0 to $1.3M ARR in 12 months. Leverages analytics and BI tooling (HubSpot, Looker, Tableau, Sisense) to build executive dashboards and drive strategic decisions, including redesigning sales incentives to emphasize recurring revenue.

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AV

Alex Vo

Screened

Staff Backend Software Engineer specializing in telemetry pipelines and observability

San Jose, CA3y exp
VMwareUC Irvine

Backend engineer from VMware focused on proprietary enterprise systems (monitoring tools, data pipelines, and APIs). Drove a ClickHouse migration POC (local to remote host) using a dual-write/cutover approach and source-level debugging across Node/driver differences during a Node 12→20 upgrade, and delivered measurable performance gains (~20% CPU/memory improvement) through batching and streaming ingestion.

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JW

Senior Engagement Manager specializing in private equity advisory operations

New York, NY6y exp
LancorColumbia University

Executive/business operations professional supporting a Managing Partner, with hands-on experience implementing BD tracking and productivity systems across three offices. Has managed a 5-person team while prioritizing 36 clients and 500 BD leads, delivering 4 trial-to-retained conversions and a 30% revenue increase, and building KPI/dashboard-driven accountability for senior-leader initiatives in confidential, private-equity-adjacent environments.

Business DevelopmentSaaSAutomationRecruitingProcess DesignOperational Strategy+44
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AT

Aarya Tallada

Screened

Entry-Level Software Engineer specializing in backend platforms for Financial Services

Tampa, FL1y exp
CitigroupUCLA

At Citi, helped lead the productionization of an internal LLM-driven automation workflow into a production-ready developer platform, focusing on determinism/reproducibility, security, and cost controls. Implemented prompt versioning/registry, JSON schema validation, sanitization, and deep telemetry (including manual edit-distance) plus human-in-the-loop review and phased rollout—driving major SDLC efficiency gains (e.g., test script creation cut from ~1 week to ~1 day).

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SK

Executive Engineering Leader & Technical Founder specializing in AI automation platforms

San Francisco Bay Area, California20y exp
BundledStanford University

Founder/CTO who built and shipped a consumer subscription-bundling platform end-to-end (architecture, implementation, testing) and scaled it to thousands of customers and major partners. Previously led a major reliability overhaul at Chan Zuckerberg Initiative for a Google-Docs-like ed-tech product—boosted observability, introduced incident management, and migrated to a Docker-based scalable architecture. Heavy user of AI tools (Cursor/Claude) for development, testing, and code review, with a strong bias toward lightweight, fast-moving execution.

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CD

Czyznyck Deco

Screened

Senior QA Lead specializing in large-scale game testing and release readiness

Los Angeles, CA21y exp
Intrepid StudiosUC Irvine

Game QA Lead/embedded QA with live production experience supporting a public alpha, owning narrative/early-game content quality and quest progression stability. Known for driving rapid resolution of high-impact blockers via consistent repros, cross-discipline coordination, and data-backed reporting (including bot-based success/failure measurement), while maintaining sprint-aligned test plans and documentation in JIRA/Confluence and leading developer playtests for gameplay feel/polish.

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BP

Mid-Level Full-Stack Software Engineer specializing in automation, microservices, and cloud deployments

Cupertino, CA3y exp
AppleUniversity of Central Missouri

Full-stack engineer with experience at Apple, Walmart, and a healthcare startup (Legacy), building customer-facing PWAs and internal platforms. Delivered HIPAA-compliant clinician/patient workflows with rapid weekly releases and measurable engagement gains, and built scalable automation/testing and real-time analytics systems using Next.js/React/TypeScript, Node/FastAPI, Redis, and PostgreSQL.

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JL

Justin Leung

Screened

Mid-Level Software Development Engineer specializing in interactive ad formats

New York, NY4y exp
AmazonSan José State University

Has experience improving an ad server workflow by standardizing genre selection with templates, enabling reuse across multiple accounts and measuring success via hours of manual labor saved. Also delivered an internal technical demo on a device-metrics-to-AWS-CloudWatch logging workflow using whiteboarding and PowerPoint to onboard a new team.

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NC

Nathan Cohen

Screened

Director-level People & Platform Leader specializing in global org scaling and enterprise systems

13y exp
EndeavorS. Rajaratnam School of International Studies

Former Director of Product turned Head of People at Endeavor, blending product/analytics rigor with HR leadership. Managed globally dispersed teams across 30+ countries and helped standardize leadership expectations for managing directors across 40+ offices through competency alignment and structured evaluations.

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CS

Intern Data Scientist specializing in generative AI and forecasting

San Francisco, CA5y exp
Aurora AIUniversity of Chicago

ML/NLP practitioner working across healthcare and business/finance use cases: currently fine-tuning a domain-specific Llama 3.1 model for safe reasoning over EHRs/clinical notes using RAG + RL/DPO and RAGAS-based evaluation. Has built UMLS-driven entity normalization pipelines with quantified quality gains and developed embedding/vector-DB systems (FAISS) for semantic matching and forecasting/recommendation applications at Aurora AI and Banxico.

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PS

Palak Siroya

Screened

Senior Site Reliability Engineer specializing in Azure cloud reliability and data analytics

Renton, WA10y exp
MicrosoftCentral Washington University

AppSec-focused customer advisor with hands-on experience integrating SAST/DAST/SCA into production CI/CD (Azure DevOps) and designing secure agent/scanning deployments in AWS (least-privilege IAM, private subnets, VPC endpoints). Demonstrates strong incident troubleshooting using logs/metrics/traces to diagnose load-related failures (timeouts/retry storms) and drive durable fixes, while tailoring risk/tradeoff communication across engineering, security, and leadership stakeholders.

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MS

Senior Software QA Engineer specializing in Workday Financials and Oracle EBS

Pleasanton, CA7y exp
WorkdayKLE Technological University

QA professional with ~7 years of experience working in Scrum teams, involved from requirements and user story creation through test strategy/planning, execution, defect triage in Jira, and verification. Highlighted catching multiple issues early on an AI-driven project to avoid production regressions and escalating a blocker where a frequently used UI was broken to get it fixed quickly. Has not shipped an AAA game title.

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MB

Director of Operations specializing in healthcare and biotech operations

Honolulu, HI13y exp
Mālama Maika’i Health and Wellness AllianceSan Francisco State University

Operations leader who joined Nucleus Biologics early and built the company’s pre-production and technical operations operating model end-to-end, including team buildout, KPI/dashboards, and regulatory readiness. Co-led ISO 13485 certification and managed capex and multi-year initiatives up to $10M. Notably mitigated a post-COVID supply chain crisis by designing an in-house manufacturing path for a critical sterile 2000L mixing bag/impeller (including CNC/prototyping and L&E considerations), eliminating vendor reliance and driving significant YoY savings.

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HG

Harish Gaddam

Screened

Mid-level AI/ML Engineer specializing in LLM agents and RAG systems

Dallas, TX5y exp
VerizonUniversity of Texas at Arlington

LLM/agentic systems builder at Verizon who deployed a LangGraph-orchestrated multi-agent ticket-automation platform with RAG (FAISS) to replace brittle rule-based bots. Improved routing correctness by ~30–40%, hit ~300ms latency targets via model routing, and reduced ops workload by ~60% through tight iteration with non-technical stakeholders and strong testing/observability practices.

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VR

Principal Software Architect specializing in cloud platforms, data engineering, and enterprise security

Seattle, WA29y exp
T-MobileGovernment College of Engineering, Tirunelveli

Engineering leader with experience defining solutions from business requirements through detailed specifications and implementation, emphasizing cost-aware technology selection. Has led architectural changes including adding IBM Cloud alongside AWS for budget reasons and integrating caching/messaging to improve availability and performance, and describes scaling distributed teams via experienced DevOps/QA hires and structured evaluation.

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DZ

David Zeibert

Screened

Junior Development Analytics Analyst specializing in QSR growth and automation

Miami, FL3y exp
Burger KingStanford University

Data-driven economy/incentives designer with experience across QSR brands (Popeyes and Burger King), spanning franchise development incentive systems and in-app game economies. Built live scorecards (Snowflake/SQL/Tableau) and regression-based sales forecasting models on thousands of restaurant records, and used app telemetry to tune progression loops and improve retention while aligning ops and business KPIs.

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SB

Shishir Bandi

Screened

Mid-level Mechanical Engineer specializing in battery validation, robotics, and controls

Dearborn, MI4y exp
FordGeorgia Tech

Robotics software candidate with hands-on experience building a self-balancing, Segway-like robotic ambulator by deriving and iteratively improving the full dynamics model (including bearing losses, BLDC back-EMF, and accurate COM estimation). Has practical ROS/ROS2 exposure (tf2, RViz, rosbag2, slam_toolbox) plus Gazebo/Simulink simulation and Turtlebot vision-based obstacle avoidance using ROS + MATLAB.

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JR

Julie Rice

Screened

Director-level Lab Operations & Facilities Leader specializing in life sciences startups

San Francisco, CA20y exp
FreelanceUC Berkeley

Independent biotech operations consultant and former biotech operations director who specializes in standing up startup lab operations end-to-end—facility buildouts, equipment procurement, and workflow/SOP implementation. Known for building clear operating rhythms (SMART/RACI, dashboards in MS Project/Smartsheet) and driving cross-functional execution; previously centralized R&D procurement at Abbvie/Pharmacyclics to cut PO processing time by 40%.

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NZ

Nate Zaidi

Screened

Senior Full-Stack Python Engineer specializing in AI/ML and cloud-native systems

Dumfries, Virginia10y exp
CodingQnaVirginia Commonwealth University

Backend/data engineer with hands-on production experience across FastAPI/PostgreSQL APIs and AWS (Lambda, ECS) delivered via Terraform + GitHub Actions. Built Glue-based ETL pipelines into Redshift with schema evolution and data quality checks, modernized legacy reporting into Python microservices, and has demonstrated measurable SQL performance wins (multi-second query reduced to sub-300ms).

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YN

Mid-level Software Engineer specializing in AI agents, data pipelines, and cloud systems

Sunnyvale, CA5y exp
Vertex PharmaceuticalsUniversity of Arizona

Generalist software engineer with recent contract work at Vertex Pharmaceuticals shipping a desktop-integrated RAG assistant for lab scientists (2000+ pages ingested; ~40% support-ticket reduction in pilot). Previously owned Python/AWS financial automation services at Amazon operating at multi-billion-dollar scale, with strong strengths in API design, observability, and database/performance tuning; also built a React/TypeScript AI contract analysis product (ContractsGuy).

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RK

Junior Product & Data Analyst specializing in accessibility, SaaS implementations, and healthcare analytics

Champaign, IL2y exp
University of Illinois Urbana-ChampaignUniversity of Illinois Urbana-Champaign

Enterprise SaaS implementation specialist (Sprinklr) who owns complex rollouts end-to-end—configuration, data migration, UAT, global enablement—and drove a 10/10 Customer Happiness Index plus renewal/expansion through strong adoption and analytics automation. Also has product experience from a TikTok PM internship leading an accessibility initiative (Camera AI for screen reader creators) coordinating engineering, design, legal, and QA with WCAG/ADA/EAA compliance considerations.

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JR

Executive Technology Leader specializing in cloud transformation, compliance, and enterprise engineering

Winnetka, CA, USA30y exp
Therapy IQ

Senior engineering leader with experience at Disney and BlackLine who drives business-aligned technology roadmaps through deep Product/Engineering partnership (two-in-a-box) and pragmatic prioritization frameworks. Has led major modernization initiatives—private-to-public cloud migration to GCP with multi-cloud evolution, data-layer performance improvements (Mongo/Redis, caching/query optimization), and tooling upgrades (VSS to GitHub)—while scaling teams with strong quality and accountability culture.

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PJ

Senior Linux Systems Engineer specializing in telecom, private 5G ORAN, and cloud-native platforms

Salt Lake City, UT18y exp
L3HarrisSwansea University
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