Vetted Problem Solving Professionals

“Organizational effectiveness and L&OD leader with experience managing a global volunteer team and partnering closely with senior leaders to drive enterprise culture change. Demonstrated measurable impact improving employee engagement (+31 points in 6 months) and applying Lean/appreciative discovery to streamline regulatory workflows to meet state-mandated timelines.”

“Repeat founder/operator with hands-on experience taking startups from zero to MVP, traction, and fundraising. Built a venture-backed company to roughly a $5M valuation and later served as Interim COO for a prop-tech startup, helping launch operations and support a 4-5M SAR raise. Also brings direct exposure to top startup ecosystems through Techstars, Antler, and close work with founders and investors in SF.”

“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.”

“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.”

“Backend/AI engineer who has built a rule-service platform on AWS and evolved it into an agentic RAG system using LangChain, ReAct, tool calling, and LLM-as-judge review. Notable for combining heavy AI-assisted development with production safeguards like manual CR, CloudWatch monitoring, fallback strategies, benchmark testing, and user-feedback-driven model improvement.”

Nishitha Thummala

Screened

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

San Francisco, CA6y exp

“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.”

Kowshika M

Screened

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

Santa Clara, CA5y exp

“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.”

Brayden Tremper

Screened

Senior Software Engineer specializing in game UI systems and gameplay features

Olympia, WA4y exp

“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.”

Lisa Wong

Screened

Senior Program Manager specializing in financial services technology transformation

New York, NY20y exp

“Consulting and PMO leader with deep experience inside large financial institutions, specializing in tax technology platform delivery across complex business lines including HNW, hedge funds, mutual funds, insurance, and banking/capital markets. Stands out for building governance, funding, and cross-functional operating structures that reduce redundancy, improve communication, and enable on-time, on-budget implementations with measurable time savings and fewer errors.”

Omri Galor

Screened

Mid-level quantitative analyst and startup founder specializing in predictive analytics and FinTech

New York City, NY7y exp

“Analytical operator with an unusual mix of public-sector strategy, startup investing, Deutsche Bank quantitative risk work, and hands-on startup cofounding. He has operated from institutional finance to zero-to-one execution, including driving a model improvement that reduced unnecessary loss impact by tens of millions and helping convert startup partnership outreach into a formal acquisition review.”