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Vetted Automation Professionals

Pre-screened and vetted.

AI

Aditya illur

Screened

Mid-level Platform/SRE Engineer specializing in Kubernetes and multi-cloud automation

Northbrook, IL3y exp
Medline IndustriesNortheastern University

Infrastructure security/DevSecOps engineer who led security and automation patterns during a large Azure migration (30+ legacy apps, wave-based execution), enforcing zero-trust controls by baking CrowdStrike/Illumio into golden images and adding CI/CD security gates. Experienced integrating GitLab runners and Terraform agents as containerized services with strong secrets management (Azure Key Vault) and disciplined image/versioning practices, and has hands-on troubleshooting of ACI runtime constraints under load.

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JK

Senior Technical Support Engineer specializing in cloud and distributed systems

San Jose, CA11y exp
WilloWeb, Inc.Eastern Washington University
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TG

Senior CRM Specialist specializing in omnichannel marketing automation

Mumbai, India8y exp
Plan.Net Technest India Pvt LtdUniversity of Mumbai
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AS

Senior Software Engineer specializing in backend systems, AWS cloud services, and data pipelines

Houston, TX13y exp
BroadridgeHebrew University of Jerusalem
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MH

Michael Hoard

Screened

Executive GTM & Revenue Operations Leader specializing in predictable growth and retention

Remote18y exp
FreelanceRhode Island School of Design

Revenue growth and RevOps veteran (25+ years) relaunching Impactus Growth Advisors, a services firm for early-to-growth-stage startups focused on execution-heavy revenue ops. Has validated tiered service packages through years of fractional consulting and is planning an AI-based Q&A app as an entry point to scale GTM and service delivery, with intent to bootstrap or potentially raise via angels.

ForecastingCross-functional LeadershipSaaSAutomationGo-to-Market (GTM) StrategyGTM Operating System Design+63
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AM

Junior AI/ML Engineer specializing in LLMs, RAG, and information retrieval

Boston, MA2y exp
University of Massachusetts AmherstUniversity of Massachusetts Amherst

Internship experience shipping production AI systems: built an end-to-end RAG platform (Python/FastAPI + LangChain/LangGraph + vector search) to answer support questions from unstructured internal docs, with a strong focus on hallucination prevention through confidence gating and rigorous offline/online evaluation. Also delivered an AI-driven personalization/analytics feature using an unsupervised clustering pipeline, iterating with PMs to align statistically strong clusters with actionable business segmentation.

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AG

Mid-level Full-Stack Developer specializing in AI automation and RAG pipelines

Toronto, ON6y exp
TCSConcordia University

Frontend engineer who has led mobile-first and web React/TypeScript products end-to-end, including an expense tracking app handling sensitive financial data and a real-time messaging/activity dashboard with chat, presence, and contextual side panels. Emphasizes scalable architecture, rigorous component-boundary testing, and production-safe rollout practices (feature flags, analytics/logging, staged releases) to ship reliably in fast-paced environments.

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AS

Arju Singh

Screened

Mid-level Machine Learning Engineer specializing in LLM apps, RAG pipelines, and MLOps

2y exp
Pervaziv AIIndiana University Bloomington

Software engineer with connected-car/automotive production experience who owned an end-to-end remote door lock/unlock feature and introduced unit testing (GTest) plus rig/simulator validation. Also built and productionized an AI-native AWS cloud cost assistant (Lex + GPT-based LLM + Lambda + RAG/vector DB) with guardrails and achieved 94% evaluation accuracy. Helped replace a third-party solution with an in-house build, saving the company ~€9M.

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AG

Abhinav Garg

Screened

Senior Robotics Software Engineer specializing in ROS 2 autonomy and distributed systems

College Park, MD6y exp
Fulcrum TechnologiesUniversity of Maryland, College Park

Robotics Software Engineer with 2.5 years at the Army Research Lab building production tools and cloud infrastructure for large-scale ROS/Unity simulation on AWS. Created a Python GUI to streamline analysis of massive (100GB) ROS bag/MCAP datasets and has deep ROS2/Nav2 performance debugging experience (executor/QoS/TF tracing). Also built an in-house ROS perception pipeline for an assembly-line use case, reaching 92% accuracy.

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CM

Senior 3D Generalist specializing in real-time 3D, VR, and procedural animation

11y exp
Blue ZooGovernment Skills Bootcamp

UK-based Unity/VR generalist who shipped a Meta Quest VR installation to art galleries worldwide while at Julian Opie Studio, acting as sole programmer and producing the art pipeline. Built a custom Spatial Anchors-based spatial mapping system with little documentation and developed real-world operational procedures to keep installations stable for exhibitions with hundreds of daily visitors. Also contracted as a 3D generalist at Blue Zoo, producing all assets/animations and environment setup for a Tate Gallery kids game, finishing ahead of schedule.

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JM

Jyoti mishra

Screened

Director-level Scrum Master / Technical Program Manager specializing in Agile delivery

Dallas, Texas10y exp
Avenio GPTMIT World Peace University

Director of Projects with experience owning HR operations processes from onboarding through exit and partnering with engineering to build/fix HRMS-related systems. Led cross-functional teams (engineering, QA, DevOps, operations, legal) to resolve data/tooling issues and improve operational rigor through Jira/Confluence documentation and multi-level code checks; also managed org-wide Jira licensing and user provisioning.

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NC

Nikhil Chagi

Screened

Intern Data Analyst specializing in data pipelines and LLM/RAG applications

San Francisco, CA1y exp
CignaUniversity of North Texas

Built and deployed LLM-powered analytics and reporting systems, including a RAG-based assistant over Snowflake that let business users ask questions in plain English instead of writing SQL. Experienced orchestrating LLM agents (LangChain) and serverless reporting pipelines (AWS Lambda/S3/RDS), with a strong focus on grounded outputs, monitoring/evaluation, and data quality—used daily by non-technical finance and operations teams at Cigna.

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HB

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.

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LT

Larry Tuck

Screened

Executive Technology Leader (CTO/VP) specializing in Healthcare IT, Security & Enterprise Integrations

Palmer, AK19y exp
MyChristianCounselor OnlineUniversity of Phoenix

Candidate indicated they have an existing startup but have not raised capital. They expressed strong concerns about AI-enabled social engineering and ended the screening due to perceived irrelevance of the startup-focused questions to the job.

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JB

Executive Operations Leader specializing in hospitality, real estate, and SaaS scaling

San Francisco, CA19y exp
Frame VenturesHarvard University

Operations-focused leader with multi-property experience who turns vague complaints (labor spend vs. service quality) into repeatable operating systems. Known for aligning finance, ops, revenue, and HR around shared metrics, running pilots before scaling, and improving labor efficiency/staffing predictability without harming guest experience.

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MA

Mo Arab

Screened

Executive Technology Leader specializing in Cloud, Managed Services & AI/LLM integration

Los Angeles, CA25y exp
FreelanceCal State Northridge

Engineering/technology leader with experience at Evocative and through a merger with Hivelocity, aligning tech roadmaps to managed services growth. Led multi-region self-hosted cloud and automation initiatives that cut delivery time from days to hours/minutes and informed cost-saving infrastructure decisions (reported $500K OPEX savings). Known for scaling teams with pod ownership, agile/intake governance, and disciplined rollout practices that protect uptime and security.

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HR

Mid-Level Full-Stack Software Engineer specializing in backend automation and insurance systems

Dallas, TX4y exp
MetLifeSaint Leo University

Full-stack engineer with hands-on production ownership across Angular/.NET/SQL and React+TypeScript/Node/Postgres stacks, including CI/CD and AWS operations (EC2/ECS, RDS, S3, CloudWatch). Delivered an internal insurance document upload and tracking feature end-to-end, adding audit/history and async processing, then validated success through monitoring metrics and reduced support tickets. Comfortable shipping MVPs in ambiguous environments using feature flags, strong validation, and backward-compatible database migrations.

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HS

Hardi Shah

Screened

Junior Software Engineer specializing in distributed systems, DevOps, and observability

Boston, MA2y exp
Pacific Northwest National LaboratoryNortheastern University

Built and launched a verified listings system for Burrow (student subleasing) after interviewing ~50 students about scam/fake listing concerns; chose a lightweight .edu-based verification approach to ship fast and then iterated with badges and clearer details, reducing churn from 15% to 7%. Also ran an LLM A/B test for auto-generating listing descriptions and improved trust/accuracy by updating prompts to prevent hallucinated details.

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TM

Taylor Marsh

Screened

Staff/Senior Cybersecurity Engineer specializing in threat intelligence, RMF/ATO, and Zero Trust

Hayes, VA2y exp
GovCIOMarymount University

Cybersecurity leader with 13 years in IT/cyber and 8 years in management, currently managing ~200 people while innovating explainable AI (XAI) for military/high-stakes decision-making. Experienced with large budgets, resource allocation, and investor engagement, and is motivated to build a proactive, future-focused cyber company centered on Zero Trust and human-overseen XAI.

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SP

Supreet P

Screened

Mid-Level Full-Stack Software Engineer specializing in cloud-native FinTech systems

Lawrence, Kansas5y exp
JPMorgan ChaseUniversity of Kansas

Software engineer with JPMorgan Chase experience delivering end-to-end fintech features (Next.js/React/Node/Postgres on AWS) and measurable performance gains. Built and productionized an AI-native credit decisioning workflow combining LLMs, vector retrieval, and a rules engine with strong governance (bias checks, auditability, human-in-loop), improving precision and cutting underwriting turnaround time by 40%.

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AU

Senior Audio Engineer & Music Producer specializing in songwriting, sound design, and education media

New York, NY18y exp
NearpodFordham University

Audio engineer with 10 years of experience using Pro Tools for sound design and music/SFX editing to picture. Has delivered educational longform content for Nearpod, including culturally specific music choices (e.g., oud-driven Middle Eastern cues) and prioritizes dialogue intelligibility through ducking and mix adjustments; typically turns projects around in 1–2 days using templates.

Budget ManagementAutomationAudio EngineeringMusic ProductionRecording EngineeringMixing+40
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ZD

Senior Composer & Sound Designer specializing in film, games, and theatrical productions

Dix Hills, NY10y exp
AdomiBridge StudiosNYU

Audio/music editor working across longform narrative video and theatrical production, focused on shaping emotional beats through precise timing (delayed builds/drops, extended transitions) and cohesive mixing. Uses Audacity and Ableton/DAWs with EQ, compression, automation, crossfades, and noise reduction, and works closely with editor/producer direction to iterate quickly (typical ~1 week turnaround).

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LP

Leonard Payne

Screened

Senior Performance Marketing Leader specializing in paid media, lifecycle/CRM, and analytics

Detroit, MI23y exp
OneMagnifyWayne State University

Performance marketer managing high-spend, multi-platform paid media for major brands (e.g., Navistar, Buick), with end-to-end ownership from strategy to reporting. Uses multivariate testing and trend-based budget reallocations to drive measurable lifts (27–60% KPI improvements) and significant outperformance (2.8x vs forecast), and has experience removing conversion friction by replacing lead forms with landing page + chat-based flows.

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CM

Director-level Human Resources & Employee Relations leader specializing in labor relations and compliance

Clifton, NJ29y exp
Teltrends InternationalSan Beda University

Candidate’s primary change-management approach centers on employee dialogue sessions and coaching, focusing on explaining business results and organizational climate to build employee understanding and support for organizational changes.

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