Vetted Requirements Gathering Professionals

Pre-screened and vetted.

Sabrina Sain - Junior Management Consultant specializing in strategy, org design, and private equity due diligence in New York, NY

Sabrina Sain

Screened

Junior Management Consultant specializing in strategy, org design, and private equity due diligence

New York, NY2y exp
Bain & CompanyDuke University

Bain consultant with medtech spin-off/NewCo operating model experience, driving cross-functional workflow optimization, headcount planning, and cost reduction through scenario modeling and executive alignment. Currently on externship at Mediamint, where they built a centralized, standardized pitch-collateral repository and operating cadence to reduce exec time spent on decks and improve GTM consistency.

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SN

Swami Nigam

Screened

Director-level software engineering leader specializing in AI/ML, analytics, and enterprise platforms

Pleasanton, CA24y exp
OracleRensselaer Polytechnic Institute

Senior software engineering leader with 20+ years of management exposure who has alternated between IC and director-level roles, leading teams of up to 25 across AI platform, analytics, Salesforce, and systems software projects. Particularly compelling for roles needing both technical depth and organizational leadership: they have architected systems themselves, built teams in new geographies, and coordinated platform, AI/data, and consumer engineering groups to deliver successful turnkey AI solutions.

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Anand Vallamsetla - Executive Engineering Leader & Systems Architect specializing in AI, cloud platforms, and FinTech in Los Altos, CA

Executive Engineering Leader & Systems Architect specializing in AI, cloud platforms, and FinTech

Los Altos, CA26y exp
Resilience AIUC Berkeley

Operator with 20+ years experience and a business degree who led the build and deployment of a Medicaid fraud investigation product for Texas HHSC OIG, cutting investigation time from ~2 years to 90 days. Has government go-to-market experience and has raised a friends-and-family round for an earlier startup concept; now pivoting toward a healthcare-focused venture after a cofounder with core tech could not continue.

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GS

Staff Product Manager specializing in AI strategy and data-driven enterprise platforms

New York, NY8y exp
Goldman SachsCarnegie Mellon University

Chief of Staff to the COO of firmwide engineering at Goldman Sachs, serving as lead strategist for a COO/CIO-sponsored program to drive operational excellence and scalability via AI/automation. Ran discovery across divisions, built governance/OKR systems, negotiated budget commitments with divisional leaders, and coordinated firmwide CFO alignment while preparing Board-level materials for executives.

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VB

Vishal Bakshi

Screened

Senior Product Manager specializing in SaaS, healthcare IT, and cloud platforms

Seattle, WA21y exp
AmazonUniversity of Chicago

Product leader with experience spanning global health, startup growth, and AWS enterprise systems. Most notably led a telehealth AI initiative at Orbis that launched in 4 months, validated against historical patient cases at 99.9% match to human consults, and evolved from a support feature into a standalone consult product and app. Brings a strong human-centered AI perspective, using automation to extend expert capacity rather than replace professionals.

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Chloe W - Entry-level Data & Quant Analytics professional specializing in finance and machine learning in Remote

Entry-level Data & Quant Analytics professional specializing in finance and machine learning

Remote0y exp
WorldQuantCarnegie Mellon University
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DP

Mid-Level Software Engineer specializing in backend, cloud, and CI/CD automation

IL, USA3y exp
GoogleDePaul University
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CC

Senior Software Engineer specializing in full-stack, AI/ML, and cloud platforms

Virginia Beach, VA12y exp
NetflixColumbia Southern University
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AP

Director-level Product Manager specializing in enterprise SaaS and AI workflow automation

San Francisco, CA17y exp
CoinbaseTexas A&M University
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SL

Director of Product & Change Management specializing in enterprise risk and platform strategy

New York, NY8y exp
American ExpressNYU
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AP

Executive Technology & Product Leader specializing in Enterprise SaaS and FinTech

24y exp
CortinaMIT
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AJ

Ashby Jain

Screened ReferencesStrong rec.

Junior Investment Banking Analyst specializing in Healthcare

New York, NY2y exp
CitigroupIndiana University Kelley School of Business

Early-stage/venture-oriented operator with sourcing instincts shaped at Entrepreneurs Roundtable Accelerator (embedded with 12 startups) and a systematic execution style from Citi investment banking. Proactively builds founder relationships by leading with actionable insights—especially in health tech/healthcare analytics (e.g., CMS reimbursement shifts)—and runs disciplined pipelines with clear next steps and partner-ready updates.

Market researchFundamental analysisMergers & acquisitions (M&A)Capital marketsEquity capital markets (ECM)Initial public offerings (IPO)+71
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Joshua Seiden - Executive Technology & Product Leader specializing in emerging tech commercialization in Centennial, Colorado

Joshua Seiden

Screened ReferencesStrong rec.

Executive Technology & Product Leader specializing in emerging tech commercialization

Centennial, Colorado33y exp
AT&TUniversity of Colorado Boulder

Startup operations/product advisor and long-time accelerator mentor who has helped multiple early-stage companies become enterprise-ready—shifting teams to customer-driven roadmaps and implementing CI/Agile delivery processes. Notably supported an Israeli company in landing a Fortune 30 customer before it later IPO’d on NASDAQ, and helped an Australian startup operationalize delivery to secure deployment with a major telecom and sports league.

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AC

Senior Venture & AI Strategy Consultant specializing in investing, portfolio ops, and ecosystem building

Seattle, WA7y exp
L’Attitude VenturesWharton School

Venture investing/sourcing professional with experience at L'Attitude running high-volume founder sourcing across tools (Harmonic) and ecosystem channels (accelerators, hackathons, Discord, university labs). Demonstrated ability to turn cold outreach and early relationships into diligence and investment committee discussions, while maintaining a rigorous CRM-driven pipeline process and long-term founder nurturing through consistent value-add.

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CK

Senior Backend Engineer specializing in Node.js, Java, and regulated SaaS platforms

Seattle, WA11y exp
MpathicBrown University

Built a production LLM-powered root cause analysis agent for supply chain alerts that helped operations managers avoid manual dashboard investigation. Demonstrates unusually strong depth in agent reliability, orchestration, and observability, with concrete production practices like hallucination blocking, shadow testing on 500 cases, and data-driven improvements that raised user agreement to 94% while cutting GPT-4 usage by 60%.

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SL

Suqing Liu

Screened

Junior Applied AI Software Engineer specializing in LLM agents and RAG systems

New York, NY2y exp
MetaMcMaster University

Engineer focused on AI-powered developer automation and agent-driven software delivery, with experience spanning customer-facing edtech and internal tooling. They describe building a K-12 chatbot-based learning platform for the York Region public school system and creating internal automations like code-generation pipelines and diff summarization tools adopted across teams, alongside work on legacy encrypted messaging systems at Instagram/Meta.

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TB

Tara Badhwar

Screened

Senior Customer Success Leader specializing in enterprise healthcare SaaS and AI clinical platforms

San Francisco, CA11y exp
VerilyUC San Diego

Customer Success Lead in healthcare AI (diabetic retinopathy screening) who owns enterprise accounts end-to-end and drives measurable adoption/retention outcomes. Experienced navigating complex stakeholder dynamics during a health system acquisition, using Tableau/Salesforce analytics and ROI storytelling to expand from pilot to full deployment, and leading cross-functional delivery of EMR-integrated SSO to unblock clinical workflow adoption.

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Hai Nguyen - Senior Technical Account Manager specializing in cloud, AI, and enterprise platforms in New York, NY

Hai Nguyen

Screened

Senior Technical Account Manager specializing in cloud, AI, and enterprise platforms

New York, NY14y exp
AmazonUniversity of Texas at Austin

AWS Technical Account Manager with 5 years supporting large enterprise customers on cloud migrations, application development, and architecture decisions across a broad AWS stack. Stands out for combining enterprise cloud advisory with hands-on solution building—from POCs and DR designs to a custom mobile and automation workflow for a construction client that won CEO buy-in and changed field operations.

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Naga Veni Mavuri - Senior QA Tester specializing in mobile, web, and device testing in Bellevue, WA

Senior QA Tester specializing in mobile, web, and device testing

Bellevue, WA13y exp
GoogleJawaharlal Nehru Technological University
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RK

Staff Platform Architect specializing in distributed systems and enterprise architecture

Bellevue, WA17y exp
AmazonGraphic Era University
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SS

Mid-level Solutions Engineer specializing in APIs, cloud architecture, and enterprise integrations

Bangalore, India5y exp
DatadogCornell University
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AT

Senior Full-Stack Engineer specializing in cloud, real-time data, and web platforms

Mesquite, TX12y exp
Rocket LawyerUniversity of Texas at Austin
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CY

Senior Management Consultant specializing in strategy, operations, and growth

New York, NY6y exp
FLSmidthWestern University
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Sumer Joshi - Senior Full-Stack Engineer specializing in backend systems and AI applications in Remote

Sumer Joshi

Screened ReferencesStrong rec.

Senior Full-Stack Engineer specializing in backend systems and AI applications

Remote13y exp
MercorSanta Clara University

Candidate is deeply focused on AI-native software development, using a deliberate planner/implementer agent workflow with tools like Cursor, Claude, and Kimi. They also built a personal project called Config Proctor, an AI-agent-driven Terraform/AWS self-healing system that identifies infrastructure configuration gaps and proposes fixes.

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