Vetted Problem Solving Professionals

Pre-screened and vetted.

TS

Tami Smith

Screened ReferencesStrong rec.

Executive HR & Compensation Leader specializing in board advisory and incentive design

Washington, DC14y exp
Federal Housing Finance AgencyGeorgetown University

HR operations and human capital leader with Department of Transportation experience who built an HR policy and training infrastructure from scratch (20 policies in a year), enabling ~25% organizational growth. Known for data-driven process optimization (cut processing time by 20 days and improved request responsiveness by ~20%) and for creating scalable manager enablement tools (HR toolkit/quick-reference guides) while aligning senior leadership and reducing overhead via FTE-to-contractor transitions.

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AW

Alisha Webster

Screened ReferencesStrong rec.

Senior Full Life Cycle Recruiter specializing in technical and healthcare staffing

Seattle, WA7y exp
AmazonUniversity of Cincinnati

Full-desk recruiter who has owned end-to-end searches (example: Senior Business Intelligence Engineer) and operates in high-throughput environments with multiple shifting reqs. Differentiates through hands-on process unblocking (notably interview scheduling) and a metrics-driven approach—tracking inclined/conversion rates by stage to balance pipeline health and drive offers to close.

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Nishitha Thummala - Mid-level AI/ML Engineer specializing in LLMs, RAG, and scalable inference in San Francisco, CA

Mid-level AI/ML Engineer specializing in LLMs, RAG, and scalable inference

San Francisco, CA6y exp
PerplexityUniversity of Nebraska Omaha

Backend/retrieval-focused engineer with production experience at Perplexity building a large-scale real-time Q&A system using retrieval-augmented generation, emphasizing low-latency, high-quality answers through ranking, context optimization, and caching. Also has orchestration experience from both product-facing LLM pipelines and large-scale infrastructure workflows at Meta, and has partnered with non-technical stakeholders to align AI trade-offs with business goals.

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Kowshika M - Mid-level AI/ML Engineer specializing in LLM fine-tuning, inference optimization, and AI safety in Santa Clara, CA

Kowshika M

Screened

Mid-level AI/ML Engineer specializing in LLM fine-tuning, inference optimization, and AI safety

Santa Clara, CA5y exp
NVIDIAOregon State University

AI/LLM engineer with production experience at NVIDIA, where they fine-tuned and deployed a financial-services chatbot and cut latency ~50% using TensorRT + NVIDIA Triton, scaling via Docker/Kubernetes. Also has consulting experience at Accenture delivering a predictive maintenance solution for a logistics network, bridging non-technical stakeholders with actionable dashboards.

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Brayden Tremper - Senior Software Engineer specializing in game UI systems and gameplay features in Olympia, WA

Senior Software Engineer specializing in game UI systems and gameplay features

Olympia, WA4y exp
NetflixOregon State University

Unity/C# game engineer with hands-on ownership of live-service systems, including a real-time multi-channel chat feature for Squid Game: Unleashed that launched alongside Squid Game Season 2 on Netflix and increased player retention and engagement. Brings a strong blend of mobile performance optimization, server-authoritative architecture, multiplayer systems, and practical experimentation with LLM-assisted narrative tooling.

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Ryan Hickey - Senior High-Voltage Battery Systems Engineer specializing in EV safety and thermal runaway mitigation in New York, NY

Senior High-Voltage Battery Systems Engineer specializing in EV safety and thermal runaway mitigation

New York, NY7y exp
General MotorsUniversity of Wisconsin
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JS

Executive CEO specializing in consumer brands, retail growth, and digital commerce

Cleveland, OH21y exp
Duncan Toys CompanyHarvard University
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LG

Senior Full-Stack Software Engineer specializing in cloud-native microservices and AI/ML

Bellaire, OH8y exp
AmazonOhio University
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SM

Senior Financial Analyst specializing in FP&A, cloud FinOps, and financial analytics

Dallas, TX5y exp
AmazonClark University
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SR

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

San Francisco, CA5y exp
Scale AIConcordia University
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KK

Mid-level Growth Marketing Manager specializing in performance marketing and marketing analytics

Dallas, TX6y exp
GoogleUniversity of North Texas
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PC

Senior Full-Cycle Recruiter specializing in executive search and diversity recruiting

San Francisco, CA16y exp
ZillowStanford University
SalesNegotiationProblem solvingGitHubFull-cycle recruitingTechnical recruiting+30
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SB

Mid-level Software Engineer specializing in backend systems, security, and AI applications

Redwood City, CA4y exp
BoxUniversity of Maryland, College Park
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DM

Principal Data Engineer specializing in cloud-native AI and data platforms

Remote, USA20y exp
TetraScienceUniversity of Illinois Urbana-Champaign
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BC

Director-level Software Engineering Leader specializing in cloud platforms and large-scale systems

Arizona, US19y exp
AmazonYoungstown State University
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HP

Mid-level Machine Learning Engineer specializing in LLMs, RAG, and GPU-accelerated cloud systems

Santa Clara, CA4y exp
NVIDIAConcordia University Wisconsin
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MS

Director-level Software Development Manager specializing in AWS and GenAI platforms

Seattle, WA17y exp
AmazonUniversity of Washington
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MK

Mid-level Business Analyst specializing in FinTech, logistics, and data analytics

USA3y exp
CopartDuke University
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TK

Senior Performance Marketing Manager specializing in paid media and growth

Culver City, CA9y exp
AppleUC San Diego
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EK

Erin Kelly

Screened ReferencesStrong rec.

Senior Talent Acquisition Leader specializing in global G&A, marketing, and product hiring

Remote12y exp
TripadvisorUNC Chapel Hill

Talent acquisition leader with experience managing a small recruiting team post-layoffs (1 direct, 3 dotted-line) and staying hands-on in executive search. Led a global expansion to hire 30 roles across the US, UK, and Singapore, and implemented a competency-based, standardized recruiting process for product managers that was validated in real-time and approved by the Chief Product Officer.

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RT

Rhutwij Tulankar

Screened ReferencesStrong rec.

Engineering Manager and ML/Data Architect specializing in scalable data platforms and personalization

San Francisco, CA11y exp
RecruiticsRochester Institute of Technology

Hands-on engineering manager at a marketing company leading a highly senior, distributed team (10 direct reports) while personally coding ~60–70% and owning end-to-end architecture across three interconnected products. Built agentic CRM automation and a reinforcement-learning-driven distribution layer for channel spend/bidding, with a strong focus on scalable design and observability (Prometheus/APM/logging) enabling frequent releases and few production incidents.

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JC

James Cummings

Screened ReferencesStrong rec.

Executive Operations Leader specializing in fulfillment, manufacturing, and retail

Greenwood Lake, NY25y exp
Cooperative LaundryStockton University

COO who specializes in professionalizing early-stage/growth operations for sale readiness—at Cooperative Laundry led a major restructuring (40% headcount reduction), redesigned operating hours (24 to 18) to reduce labor cost and improve maintenance uptime, and implemented Lean/Six Sigma systems with KPI-driven operating cadences across multiple sites. Emphasizes cultural transformation ('no surprise' accountability) and mentoring non-ops executives to independently run data-driven operations; cites driving the business to 7x EBITDA and positioning for an acquisition in 2026.

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