Vetted Forecasting Professionals

Isha Harne

Screened

Intern Software Engineer specializing in ML applications and LLM platform engineering

New York, NY1y exp

“Full-stack engineer who builds and scales customer-facing and internal AI products end-to-end (React/TypeScript/FastAPI/MongoDB) with strong product instrumentation and rapid MVP iteration. Built an AI-powered code review assistant adopted across teams and integrated into CI/CD, reducing manual review time by 30%+, and has hands-on experience with LLM retrieval/reasoning systems (LangChain + FAISS) and microservices scaling using RabbitMQ, Docker, and AWS.”

teresa clark

Screened

Executive Sales Leader specializing in Automotive & Industrial accounts

Etna, OH33y exp

“Commercial leader in the automotive/tools space currently serving as VP of Sales, managing a large global portfolio of major tool brands and distributors. Known for structuring low-risk, drop-ship seasonal programs that drove $3M–$5M incremental revenue and scaling Mac Tools’ non-tool business to ~$36M, with extensive Vendor of the Year recognition. Seeking to step back into a buyer/assortment-focused role and prefers remote work.”

Sakethram Marpu

Screened

Junior Investment Analyst specializing in AI & DeepTech

Bengaluru, India2y exp

“VC-style founder sourcer who uses technical signals (GitHub) and niche communities (Elpha/Indie Hackers/Discord) to identify early-stage opportunities, including thesis-driven sourcing in applied AI infrastructure/observability from YC W24. Emphasizes value-first LinkedIn outreach and long-horizon relationship building (e.g., built a personal relationship with Snitch’s CTO who later reached out first about a new startup).”

“Buyer/merchandising professional from Tata Croma, one of India’s largest electronics retailers, with deep experience managing smartphone brands like Apple, Samsung, Oppo, and Redmi across 400+ stores. Stands out for owning end-to-end launches, building data-driven demand forecasts, and balancing margin, inventory, and assortment decisions across both retail and e-commerce at national scale.”

“BI/analytics candidate with healthcare and product analytics experience spanning Honor Health and ASU. They’ve worked on messy multi-system hospital supply data and also owned analytics for an AI-powered tax assistant, with quantified outcomes including 97% faster search, 92% retrieval accuracy, 30% fewer ad hoc procurement requests, and 15% lower operational cost.”

“ML/AI engineer with strong healthcare insurance domain depth who has owned fraud detection and LLM claims products end-to-end in production. Stands out for combining modern MLOps and RAG architecture with measurable business impact, including millions in fraud savings, 40% faster analysis, and reusable platform tooling that accelerated multiple teams.”

Jordan Dyson

Screened

Director-level sales leader specializing in B2B outbound and enterprise revenue growth

San Francisco Bay Area, CA10y exp

“Quota-carrying SaaS seller who combines self-sourced outbound prospecting with strong process-building in early-stage environments. Closed a $120K ARR logistics deal from cold outbound in 6-8 weeks and reports 125% attainment on a $2.5M annual target, while also helping founders refine ICP, messaging, qualification, and CRM discipline.”

“Healthcare-focused ML/AI engineer who has built clinical note summarization and medical image annotation solutions using LLMs, RAG, and multimodal models. They combine experimentation across major model providers with practical production concerns like monitoring, drift detection, and latency/cost tradeoffs, and also earned 2nd place in a Google hackathon for a medical AI assistant.”

“Public sector sales leader with hands-on experience running direct, online, and partnership channels, generating over $2M in revenue and 85% retention. Built and coached teams across mid-market and government segments, with a practical playbook around consultative/value selling, compliance-aware selling, rigorous CRM discipline, and closing municipal deals such as Euless Power and Water.”

“Operations leader at Bathworks of Michigan who scaled call-center and sales scheduling by commissioning a custom-built tool (drive-time + rep performance routing) as the org grew from ~10 to 30 sales reps, cutting appointment assignment to under 10 seconds. Uses a mix of frontline feedback frameworks and KPI analysis to drive efficiency (e.g., after-hours AI texting + shift changes) and has advised the founder on territory expansion, adding warehouses and leadership layers.”

prashanth Jamalapurapu

Screened

Mid-level AI/ML Engineer specializing in data engineering, LLM/RAG pipelines, and recommender systems

5y exp

“Research assistant at St. Louis University who built and deployed a production document-intelligence RAG system (Python/TensorFlow, vector DB, FastAPI) on AWS, focusing on grounding to reduce hallucinations and latency optimization via caching/async/batching. Also developed a personalized recommendation system for the Frenzy social platform and partnered closely with product/UX to define metrics and iterate on hybrid recommenders and cold-start handling.”

“Marketing analytics candidate who combines strong SQL data engineering with Python automation to turn messy GA4, Instagram, and Postgres data into reliable reporting and decision tools. They’ve built cohort- and retention-based measurement frameworks that shifted teams away from vanity metrics, improved campaign allocation, and drove roughly 30% better two-week retention.”

“Works in airline day-of-operations scheduling, where they manage flight attendant schedule modifications under tight time constraints and FAR regulations. Their experience centers on preventing crew legality violations, coordinating with controllers and pilot teams, and using schedule codes to ensure delay-related pay is captured accurately.”

“Strategic enterprise sales leader at TTM Technologies with a background in complex national and global account management rather than traditional public sector sales, but with highly transferable experience in large-scale, multi-stakeholder environments. Has managed over $100M in annual revenue exposure, delivered double-digit growth including roughly 30% account expansion, and led cross-functional coordination across manufacturing, supply chain, engineering, and executive teams in high-value technology infrastructure programs.”

“Built a production-style LLM document summarization/generation workflow that mitigates token limits and reduces hallucinations using semantic chunking, FAISS-based embedding retrieval (top-k via cosine similarity), and section-wise generation. Orchestrated the end-to-end pipeline with AWS Step Functions and aligned outputs with sales stakeholders through demos, visuals, and documentation.”

“Cross-functional operator/chief-of-staff style leader who took a product from prototype to a live pilot in 3 months, spanning public-sector data normalization, an ML matching engine, a secure API, and KPI/investor demo instrumentation. Strong focus on executive alignment and productivity via Notion-based operating systems plus automated reporting (Python/Power BI), with experience supporting fundraising and go-to-market narratives.”

Asifa Aziz Poppy

Screened

Executive Apparel Merchandising & Sourcing Leader specializing in global supply chain

Dhaka, Bangladesh27y exp

“Sourcing/merchandising professional with experience supporting US brands via Youngone Corporation (YHT unit, Bangladesh), managing end-to-end vendor evaluation, FOB/MOQ/lead-time negotiations, compliance and AQL-based quality standards. Uses OTB, SKU productivity, margin and Q-score/customer feedback to rationalize assortments—citing a data-led shift where 30% of styles drove 70% of revenue and reallocating spend to higher-margin sustainable products improved sell-through, margin, and satisfaction.”

Alex Kubicek

Screened

Senior Performance Marketing Manager specializing in paid media and growth acquisition

Atlanta, GA17y exp

“Paid media performance marketer with experience running $50K+/month Meta/Instagram campaigns in healthcare (revision bariatric surgery), optimizing for patient CAC and booked surgeries rather than just CPL. Uses creative-first testing (testimonial/video-led) and conversion signal feedback via Meta Pixel + Conversion API, and applies a structured full-funnel budget allocation approach across Meta/Google/TikTok.”

“Analytics professional with hands-on experience turning messy Excel-based operational data into SQL/Python pipelines and Power BI dashboards, including a production bottleneck project that improved workflow efficiency by 20%. Also brings applied machine learning experience from a Databricks/PySpark loan risk scoring project using logistic regression and XGBoost on large-scale S3 data.”

“Talent/Recruiting Operations leader who has run regional and national high-volume recruiting organizations (~40–50 people) and owned the full recruiting operating system end-to-end (ATS/CRM, analytics, workflows, training, and cross-functional governance). Known for rebuilding chaotic multi-state hiring engines into standardized, SLA-driven processes with real-time dashboards—cutting time-to-fill ~30% and boosting recruiter productivity >25%—and for leading major tooling implementations like GoodTime and advanced Lever reporting.”

“Strategic sourcing professional with strong vendor onboarding and negotiation approach grounded in open-costing transparency and commodity market analysis. Uses critical path trackers and cross-functional milestone governance to protect OTD, and has mitigated duty/commodity volatility by shifting sourcing and locking prices—avoiding a reported 10–12% cost increase while maintaining quality and delivery.”

“Enterprise Customer Success leader in the Azure/AVD ecosystem (Nerdio) with end-to-end ownership of large accounts, driving measurable adoption growth and Azure cost optimization. Demonstrated ability to orchestrate complex migrations (Citrix to AVD), align multi-stakeholder enterprise priorities, and convert customer feedback into roadmap action that directly supported renewal and expansion (including GovCloud use cases).”

Yash Amre

Screened

Intern Data Scientist specializing in machine learning and NLP

California, USA1y exp

“Analytics-focused early-career candidate with internship experience owning reporting and system performance analysis projects end to end. They combine SQL data preparation, Python automation, and dashboard delivery with measurable impact, including roughly 50% less manual reporting and about 20% better forecast accuracy.”