Vetted Workflow Automation Professionals

Pre-screened and vetted.

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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SS

Executive IT Leader specializing in enterprise architecture, cloud modernization, and AI transformation

Los Angeles, CA25y exp
Tokio Marine HCCUC Davis

Enterprise Architecture leader with insurance domain experience (Farmers Insurance) who drove a multi-phase roadmap to modernize a siloed CRM landscape—migrating from legacy Siebel to Salesforce Financial Services Cloud with Customer 360, MDM, and omnichannel capabilities. Also led a high-impact architecture decision to implement offline billing to reduce customer-facing downtime, including complex SAP/on-prem-to-cloud integration and transaction sync.

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Michael Boholst - Director of Operations specializing in healthcare and biotech operations in Honolulu, HI

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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BC

Mid-level GenAI Engineer specializing in RAG, LLMs, and enterprise AI

4y exp
Cardinal HealthRivier University

Built and shipped production LLM agents that automate document processing and decision workflows, with a strong focus on reliability, guardrails, and measurable business impact. Stands out for combining RAG, tool calling, evals/monitoring, and ERP integration to deliver 30-35% manual effort reduction and higher throughput without additional headcount.

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RU

Rhea Uppal

Screened

Mid-level investor and product leader specializing in venture capital and AI

Los Angeles, CA5y exp
Sandwich CapitalUCLA

Early-stage venture investor/operator profile with experience at Wedbush Ventures, focused on sourcing and qualifying founders through thesis-led outbound. Stands out for combining deep market research with proactive relationship building, including sourcing AI and commerce infrastructure opportunities that advanced into pipeline and investment committee discussions.

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IW

Junior Technical Writer and Full-Stack Engineer specializing in software documentation

Dallas, TX3y exp
State FarmBrown University

Software engineer with hands-on experience building end-to-end internal products at State Farm, spanning React/TypeScript frontends, AWS Lambda serverless backends, and Postgres data layers. Stands out for combining strong systems thinking with product sense: they improved a policy rerate platform with measurable performance gains, built a reusable rerate API adopted across teams, and also shipped an internal LLM chatbot MVP with built-in user feedback loops.

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SO

Saloni Oswal

Screened

Junior Security Software Engineer specializing in cloud security and FinTech

San Jose, CA2y exp
GeminiUSC

Built Multipass at Gemini, a Flask/React system that provisioned AWS access across 98 accounts for 400+ engineers, with a strong focus on reliability, observability, and hardening brittle auth flows. Earlier at Deloitte, turned a Word-doc HR onboarding SOP for CVS Health into 45 Workday integrations using XML/XSLT, cutting manual work by 38% and improving data accuracy by 12%.

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SM

Executive Operations Leader specializing in legal operations and AI-enabled transformation

Clearwater, Florida16y exp
Dolman Law GroupPasco-Hernando State College

Current COO who rebuilds and scales operational backbones end-to-end—data architecture, workflows, dashboards, and operating cadence—creating real-time visibility into pipeline, cycle times, and revenue forecasting. Known as a cross-functional integrator (hiring, GTM, finance, investors) who drives tough tradeoffs and turns ambiguity into durable operating systems.

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Nicholas Johnson - Senior Recruiting Operations & Analytics professional specializing in high-volume technical hiring in Brentwood, CA

Senior Recruiting Operations & Analytics professional specializing in high-volume technical hiring

Brentwood, CA10y exp
AMS.NETUniversity of Nevada, Reno

Full-cycle recruiter who recently led a hard-to-fill technical search at AMS.net, driving the process from hiring manager intake through offer acceptance. Leverages market data and compensation benchmarks to realign stakeholders, optimize title/JD and outreach messaging, and keep pipelines moving with tight feedback SLAs and metric-driven cadence.

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DL

David Lee

Screened

Executive Technology Leader (CTO/CIO) specializing in cloud modernization, AI automation, and enterprise systems

Torrance, CA14y exp
RevolutionGeorgetown University

Exploring entrepreneurship with two concepts: a K-beauty skincare line tailored to the Indian market and darker complexions, and a tech-enabled services business helping legacy companies adopt AI safely. Has early-career experience working with Battery Ventures as an investor in the startup Fasturn and a point of view on deeper VC/studio operational partnership models.

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Mustafa Ali - Mid-level Software Engineer specializing in backend systems and AI in Boston, MA

Mustafa Ali

Screened

Mid-level Software Engineer specializing in backend systems and AI

Boston, MA4y exp
HondaUniversity of Massachusetts Amherst

Founding/early backend engineer at ATICA Global who built the company's core hotel property management platform from an empty repo into a production system used by 500+ hotel clients. Combines strong backend architecture with pragmatic product execution, including a dynamic pricing engine that increased partner revenue 17% YoY and an AI-powered sentiment pipeline processing 200K+ reviews/month.

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Yash Patel - Mid AI/ML Engineer specializing in MLOps and cloud platforms in Texas, USA

Yash Patel

Screened

Mid AI/ML Engineer specializing in MLOps and cloud platforms

Texas, USA3y exp
OracleUniversity of Texas at Arlington

ML/AI engineer with strong end-to-end production ownership across classical ML and GenAI systems. Built and deployed predictive analytics and RAG-based internal tools on AWS/Kubernetes with measurable impact on accuracy, latency, deployment speed, safety, and user productivity.

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BW

Bernice Wang

Screened

Junior technical solutions engineer specializing in healthcare IT and operations

Verona, WI4y exp
Epic SystemsYale University

Operations- and systems-minded candidate with experience improving hospital billing workflows and automating a campus package pickup/drop-off system that streamlined operations for 400 students and 20 student workers. While they do not have direct outbound prospecting experience, they articulated a thoughtful, research-driven framework for building an SDR pipeline engine from scratch.

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LC

Lex Chesler

Screened

Senior Game Systems & Engine Engineer specializing in C++/Unity/Unreal

San Francisco, CA24y exp
Boss Fight Entertainment

Game engineering leader/player-coach who recently shipped Netflix/Boss Fight’s mobile hit Squid Games Unleashed, owning live ops scheduling (XML/JSON to C# in Unity) and storefront integrations while reviewing 6–8 engineers’ code. Experienced in client-server reliability work (The Sims 4 time-sync incident) and in speeding delivery via process redesign (gated approvals), with a coaching style informed by 6 years teaching improv theater.

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Roger Woody - Executive Operations & Transformation Leader in Federal and Defense organizations

Roger Woody

Screened

Executive Operations & Transformation Leader in Federal and Defense organizations

36y exp
National Reconnaissance Office

Operations and Chief of Staff leader with experience at NRO, DHS/TSA, and NOAA, translating complex, regulated enterprise environments into startup-like scalable operating systems. Implemented Salesforce/PeopleSoft/Cognos-driven process optimization, governance, and keystroke-level SOPs, delivering measurable improvements (20% performance gains; 15% error reduction) while driving adoption through hands-on change management and executive alignment.

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SR

Mid-level Product Manager specializing in AI, FinTech, and CRM platforms

USA6y exp
TeslaDartmouth College
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Stephen Marchi - Senior Advertising Operations Specialist specializing in AdTech tracking and campaign optimization in San Francisco, CA

Senior Advertising Operations Specialist specializing in AdTech tracking and campaign optimization

San Francisco, CA17y exp
UnityUC Davis
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AG

Intern Software Engineer specializing in machine learning and cloud systems

New York, NY0y exp
AmazonRutgers University
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SC

Executive engineering and product leader specializing in Healthcare AI and cloud platforms

Cary, NC23y exp
Healthcare AI StartupMetropolitan State University
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AB

Principal Big Data & Software Engineer specializing in Spark/Scala and GCP data platforms

San Jose, CA13y exp
VerizonUniversity at Buffalo
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Tosan Mene - Senior Software Sales & Account Management professional specializing in CRM and healthcare in North Austin, TX

Senior Software Sales & Account Management professional specializing in CRM and healthcare

North Austin, TX13y exp
Joerns HealthcareUniversity of Houston
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Aradhia Bhagat - Intern Software Engineer specializing in full-stack and machine learning systems in Madison, WI

Intern Software Engineer specializing in full-stack and machine learning systems

Madison, WI3y exp
ShopbopUniversity of Wisconsin–Madison
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VD

Mid-level AI/ML Engineer specializing in LLMs and document intelligence

California, USA4y exp
BNY MellonIndiana University
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MV

Mid-level computational biologist specializing in AI, data systems, and healthcare analytics

Chicago, IL7y exp
Tempus AIGeorgia Tech
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