Vetted Forecasting Professionals

Joseph Herbst

Screened

Executive Technology Leader specializing in IoT, PoE building automation, and semiconductors

Portland, OR35y exp

“Engineering/exec leader (CEO experience) who built a lighting controls and building automation platform from scratch, choosing an Ethernet/PoE and Node.js web-centric architecture that anticipated market shifts and later became an industry pattern. Known for rigorous vendor QA (test-to-failure) and for delivering high-profile deployments (e.g., Black Desert Resort, Resorts World Villa 66) while leading globally distributed engineering teams.”

Junhui Huang

Screened

Intern Machine Learning Engineer specializing in LLMs, MLOps, and NLP

Providence, RI1y exp

“Built and deployed a production LLM-driven Dungeons & Dragons game where the model acts as a dungeon master, adding a structured combat system and a macro-state tree to ensure campaigns converge to a clear ending. Fine-tuned Gemini 2.5 Flash on Vertex AI and deployed on GCP with Kubernetes, using RAG over DnD rules/spells plus multi-agent orchestration (intent-based routing between narrative and combat agents) to reduce hallucinations and improve reliability.”

Vaibhav Sharma

Screened

Mid-level Software Engineer specializing in AI/ML and data platforms

Remote, USA5y exp

“AI/ML engineer who built a production agentic system to automate computational research experiments (simulation execution, parameter exploration, and numerical analysis) and mitigated context-window failures using constrained tool-calling/prompt-chaining patterns in LangChain with OpenAI tool-enabled models. Also has adtech/big-data pipeline experience at InMobi, orchestrating Spark jobs in Airflow to filter bot-like user IDs and publish clean IDs to an online NoSQL store for live serving, plus Apache open-source collaboration experience.”

Karen Scrivano

Screened

Senior Brand Strategy & Marketing Leader specializing in digital, AI prompting, and customer success

Los Angeles, CA17y exp

“Marketing/CRM-focused campaign lead with enterprise financial-services rebrand experience, spanning new website and copy creation through national social/digital promotion. Uses Google Analytics and ongoing reporting/QBRs to optimize to KPIs, drive ROI, and successfully retain and upsell clients while expanding reach into new demographics.”

pavan kalyan padala

Screened

Mid-level Data Scientist specializing in predictive and generative AI

Daytona Beach, Florida4y exp

“AI/ML engineer with production LLM experience in regulated financial services (J.P. Morgan Chase), building a customer response engine to automate first-contact resolution while addressing privacy, bias, compliance, and scale. Strong MLOps/orchestration background (Airflow, Docker/Kubernetes, AWS Step Functions, Azure ML/SageMaker) plus proven ability to integrate with legacy systems and drive stakeholder adoption through dashboards, auditability, and training.”

“Analytics-focused candidate with strong SQL, Excel, Python, and Tableau skills who supports payroll-, compensation-, and finance-adjacent processes through rigorous data validation and reconciliation. Stands out for uncovering a duplicate-record mapping issue that exposed roughly $250K in revenue leakage and for building repeatable controls, dashboards, and automated checks to improve reporting accuracy.”

“ML/AI practitioner with hands-on experience shipping production time-series forecasting and RAG-based customer insights platforms in an enterprise setting. At BASF, he improved seed sales forecasting beyond naive baselines using model selection tailored by brand size, and he also led a RAG solution over Salesforce reports, complaints, and surveys that reached 2,000+ users with strong daily engagement.”

“Candidate is pursuing a CTO role and has helped multiple startups turn early technology concepts into concrete, real-world technical requirements. They cite a systems science and mathematics background, along with experience at JPMorgan Chase, and appear strongest in technical strategy, concept fleshing, and identifying strong people to help teams succeed.”

“Data engineer with a Master's in Data Science who has owned 30+ customer-facing K-12 SIS migrations end-to-end, building ETL, validation, and SOP-driven deployment processes in a PII-sensitive environment. Also brings recent hands-on agentic AI experience from a biotech capstone, where they led a production-oriented NLP-to-SQL + RAG support system that handled about 30% of support queries in testing.”

Raymon Bledsoe

Screened

Executive sales leader specializing in EdTech, SaaS, and real estate solutions

Dallas, TX10y exp

“Public-sector sales leader in K-12 education currently leading an inside sales team at Edmentum across a large Midwest territory. Brings a disciplined, metrics-driven approach to district acquisition, expansion, forecasting, and manager coaching, with early-year performance at 110% of Q1 goal and clear experience navigating complex multi-stakeholder school district deals.”

“Sales executive and former President/COO who spent eight years transforming a privately held company to make it sale-ready, ultimately delivering 50% revenue growth and a successful exit. Brings hands-on experience building sales structure from the ground up, leading an 8-rep team, expanding into healthcare and Fortune 500 accounts, and aligning revenue growth with bottom-line improvement.”

“Operations and manufacturing leader with experience acting as an internal CEO to build a new business inside IDEX Corp from a $15M budget, owning P&L and a 3-year plan through product launch. At Planet Innovation, used Lean/DMAIC-style value stream mapping to 4x production throughput (400 to ~1600 units/month), exceeding a customer’s 1200/month scaling target. Strong in building teams and operational systems (product development, quality, supply chain) and coaching non-ops founders using structured frameworks.”

“Senior cross-functional leader with deep experience in high-stakes compliance and executive operations, including executing a DOJ monitorship rollout (52 ethics/compliance processes in 3–4 months) and driving executive alignment through training and dashboards. Also led M&A at AT&T across strategy, diligence, and integration, and delivered measurable operational improvements like automating the financial close down to 1 day.”

Mike Martin

Screened

Executive Services & Operations Leader specializing in managed services, M&A integration, and growth

28y exp

“COO/operator who helped scale a PE-backed Managed Services Provider from ~$20M to ~$120M in 30 months while acquiring 3–4 MSPs per year. Drove post-merger integration and standardized service delivery using ITIL, unified systems onto NetSuite and a unified delivery platform, and built a data warehouse to rapidly integrate legacy data for operational insights (including early ML/AI use).”

Daniel Riskey

Screened

Director-level Talent Acquisition leader specializing in pathway programs and high-volume hiring

20y exp

“Talent Acquisition/Recruiting Operations leader with experience across aviation, technology, corporate/finance, and education. Led a 12-person TA org and drove major operational transformations, including a Southwest Airlines pilot pipeline program cutting time-to-cockpit from ~10 years to ~4 and forecasting 400–600 pilots annually at peak. Recently served as primary TA stakeholder for an iCIMS-to-ADP RM ATS migration, simplifying workflows and reducing recruiter administrative work by ~70%.”

Barbara Christina Cruze

Screened

Senior Business Analytics Consultant specializing in BI, data engineering, and predictive analytics

Dallas, TX8y exp

“Healthcare analytics candidate with hands-on experience turning messy claims, enrollment, and reference data into trusted SQL reporting layers and reproducible Python workflows. They emphasize metric standardization, stakeholder alignment, and operational impact, including ~40% reduction in manual reporting effort and improved forecasting/resource prioritization through high-risk patient segmentation.”

Kiyan Ng

Screened

Senior Performance Marketing Manager specializing in paid search and demand generation

San Francisco, CA10y exp

“Performance marketer with experience managing very large paid media budgets ($500K-$2M/month) across Google, Bing, and programmatic. They combine hands-on account restructuring and testing with cross-functional growth work, citing a 51% lift in conversions and 24% lower CPA, plus recovery work on a challenged AncestryDNA non-brand search program through landing page, promotion, and affiliate strategy.”

“AI engineer and current tech lead building a RAG-based multi-agent QA platform for financial document analysis at significant scale (40,000-50,000 documents). They combine Python, CrewAI, FastAPI, Hugging Face embeddings, Pinecone, and AWS SageMaker to deliver retrieval, calculation, summarization, forecasting, and visualization workflows, while leading a small cross-functional team.”

“Commercial leader in life sciences, diagnostics, and scientific tools who has repeatedly built revenue from early-stage scale, including growing NimbleGen from under $1M to $25M and helping position it for a $300M sale to Roche Diagnostics. Brings deep experience selling complex clinical software and instruments into hospitals, labs, pharma/biotech, academia, and government, with a strong reputation for building teams, operating cadence, and cross-functional alignment.”

“AI product leader working at TAU Ventures Innovation Lab and previously at Verint and NYSHEX, with a track record of turning legacy and ambiguous AI opportunities into shippable, human-centered products. Notably led Verint’s evolution into a low-code AI orchestration platform with 20+ capabilities and measurable gains in CSAT, handle time, and recurring revenue, while consistently emphasizing trust, workflow fit, and human-in-the-loop design.”

“Product leader working at the intersection of AI, data governance, and industrial/energy operations. They have led a major finance-platform rewire for solar and wind asset forecasting at NextEra and previously built an AI-assisted field service app for fire alarm technicians across four business units, showing unusual depth in both enterprise data architecture and safety-critical mobile workflows.”

“Full-stack product builder with strong GTM and applied AI experience, including end-to-end ownership of a production lead intelligence platform that combined React/TypeScript, Python services, external data enrichment, and LLM orchestration. Notably reduced SDR research time from 15-20 minutes to under 2 minutes per account and also drove an 8% revenue increase at Finding Pi by building a customer segmentation framework from analysis of 45k+ users.”

“GTM and operations leader with experience spanning SaaS, marketplaces, OT/ICS, and retail/e-commerce, including work that drove e-commerce revenue for a $44B retailer. Particularly strong in enterprise ABM and partner-led motions for critical infrastructure accounts, with proven results in pipeline growth, conversion improvement, and cycle-time reduction, plus direct ownership of complex six-figure ARR deals.”