Vetted Microsoft Excel Professionals

“ML engineer with production experience at Goldman Sachs and Medtronic, focused on real-time AI systems in fraud detection and healthcare. Brings a rare mix of backend ML infrastructure, MLOps, and product-minded UX thinking, including dashboard and API design that made complex model outputs usable for analysts and clinical users.”

“Growth marketer from earthnutre who led a zero-to-one conversion and traffic-quality improvement project combining SEO, landing page/CRO, and paid-media measurement. Used SEMrush-driven high-intent keyword restructuring plus phased page optimizations with control comparisons, then tied results to paid performance—reporting ~15% lower CPA and ~30% MoM ROAS lift. Also runs a modular, data-driven creative iteration process across Meta/TikTok/YouTube and provides performance-based guidance to creators/editors.”

“Built and deployed a production LLM-powered RAG assistant for semiconductor manufacturing failure analysis, reducing engineer triage effort by grounding outputs in retrieved evidence and gating responses with SPC + ML signals (LSTM anomaly scores, XGBoost probabilities). Experienced with LangChain/LangGraph to ship reliable, observable multi-step agents with branching/fallback logic, and evaluates impact using both technical metrics and business KPIs like mean time to triage and downtime reduction.”

“Talent Acquisition leader with WeWork experience who managed a team of 3 recruiters plus a TA Coordinator while maintaining an executive-level requisition load. Partnered closely with HRBPs on org design and workforce planning, and implemented a budget-aligned requisition approval process via a weekly hiring committee. Has hands-on C-level search experience, including supporting the CEO in hiring a CFO.”

“Sourcing/procurement professional with hands-on CAPEX equipment sourcing experience, building RFI/RFP packages, qualifying new vendors, and negotiating using market and internal spend data. Demonstrated process-improvement impact by redesigning proposal evaluations into a parallel workflow, cutting sourcing cycle time by ~20% while maintaining evaluation rigor.”

“Operations leader/consultant for early-stage, VC-backed and fast-growth companies with hands-on experience spanning NetSuite finance ops, product prioritization, and People Ops/HR systems. Notably overhauled internal communications at a Bay Area home health company by centralizing to HIPAA-compliant Slack integrated with ClickUp, driving ~30% faster project completion and ~25% higher retention, using ADKAR-based change management and rigorous adoption tracking.”

“QA/automation engineer with experience at Riot Games’ player platform, owning E2E automation for mission-critical authentication/account flows using Playwright/JavaScript plus API automation. Built CI merge gates and nightly verification with Slack reporting, and repeatedly caught backend-driven session/authorization regressions before production. Known for stabilizing flaky UI tests via selector strategy and network intercepts, and for influencing design early with testability hooks and telemetry.”

“Customer Success/Account Management leader with deep enterprise SaaS implementation experience, including end-to-end ownership of a Fortune 500 rollout across 800+ locations. Known for rescuing high-risk onboardings through hands-on data remediation and executive stakeholder governance, driving measurable improvements in NPS/CSAT, ticket volume reduction, and major adoption/expansion. Also led cross-functional, accelerated POS integrations (including early Toast POS) to meet tight POC deadlines and enable full-location deployments.”

“Data engineer with experience delivering an end-to-end pipeline handling ~3.5TB in a star-schema setup (fact + dimensions) and producing business-facing tables in Hive/Spark. Identified and resolved UAT-reported duplicate issues caused by joins through root-cause analysis, and also built automation to run Spark SQL metrics on weekly/monthly/quarterly cadences and distribute results to users.”

Jordan Roga

Screened

Director-level Business Operations & Finance leader in venture capital and early-stage tech

New York, NY10y exp

“Operations/program leader with experience at Open Core Ventures driving cross-functional initiatives across content/engineering and legal/tax operations. Built systems-heavy process improvements (public handbook + SOP frameworks, DRI accountability) and delivered measurable outcomes like +30% Hacker News front-page frequency and ~80% faster company formation.”

Harmeet Singh

Screened

Senior Game Economy & LiveOps Manager specializing in monetization and progression systems

Remote, Canada9y exp

“Game economy/progression designer for PGA titles who owned equipment and attribute progression plus virtual currency sources/sinks end-to-end. Uses quantitative modeling and telemetry (wallet balances, spending ratios) to tune supply/pricing and hit segment-specific business targets (e.g., conversion and completion-rate goals), and aligns stakeholders via KPI-lift projections and tradeoff-driven presentations.”

STEFANIE BARTRA

Screened

Senior Retail Buyer specializing in apparel and footwear merchandising

Fullerton, CA17y exp

“Senior-level fashion buyer specializing in seasonal footwear, with demonstrated results driving +22% YoY growth (700K+ pairs; $16.8M revenue) through assortment, pricing, and inventory strategy across store and e-commerce. Experienced in vendor cost negotiations at SKU level, OTB/line planning, and executing cross-functional brand repositioning initiatives while coaching junior buyers into promotions.”

Nishantkumar Asodariya

Screened

Mid-level Supply Chain Analyst specializing in global logistics automation and forecasting

USA4y exp

“Built and shipped a production LLM-powered recruiting workflow that ranks resumes against job descriptions, generates evidence-based justifications, and finds "hidden fit" candidates using embeddings + RAG. Demonstrates strong production engineering around hallucination control, latency, and predictable LLM cost management (budget checks, top-K pruning, tenant caps), plus orchestration experience with Airflow/Prefect/Kubernetes and a structured evaluation/monitoring methodology for AI agents.”

“Healthcare analytics professional with experience at UnitedHealth Group, focused on turning messy claims, eligibility, and provider data into clean reporting datasets and Power BI dashboards. Combines SQL and Python automation with strong stakeholder alignment around KPI definitions, helping operations teams improve claim turnaround visibility and cost efficiency.”

“Analytics candidate with hands-on experience at AT&T building SQL/Python pipelines for churn, usage, billing, and network-performance data at multi-million-row scale. Stands out for combining strong data quality and reconciliation practices with measurable operational impact, including a 30% query runtime improvement and ~8 hours/week of reporting automation savings.”

Saisureshreddy Challa

Screened

Mid-level Data Scientist specializing in AI/ML, LLMs, and domain analytics

California, USA6y exp

“BlackRock AI/ML engineer who built and owned a production LLM document intelligence system for regulatory and investment analysis end-to-end. They combined RAG, multi-agent validation, strong evaluation/monitoring, and reusable Python services to process 50K+ documents, cut review time 40-50%, and improve decision accuracy by about 25%.”

“Software engineer with experience building internal tools and admin consoles, including a stealth startup database management console and a Fidelity internship project that transformed QA test coverage tracking from unwieldy Excel sheets into a clearer, more actionable UI. Strongest signals are end-to-end ownership, modular app design, and practical iteration based on user feedback.”

“LLM/agent engineer who shipped a two-stage AI recruitment screening platform at Foursquare that automated resume ingestion through behavioral assessment, delivering an 85% reduction in screening time across 5,000+ applications with auditability and confidence-gated decisions. Also built a multi-agent benchmarking framework using MCP tool interfaces and a RAGAS + LangSmith evaluation/observability stack, including async re-architecture that cut production latency by 50%.”

“Enterprise program/project leader with experience driving large-scale technology and operational initiatives across telecom, insurance, and tech. Most notably supported Zayo's Crown Castle acquisition through a complex Workday HRIS migration affecting 1,800 employees and a portfolio of 15 concurrent initiatives, with strong ownership of governance, executive reporting, vendor coordination, and risk management.”

Daivya Trehaan

Screened

Intern-level strategy and market research analyst specializing in FinTech and consumer insights

Dubai, UAE2y exp

“UCLA cognitive science student with hands-on startup strategy and market research experience, including work at AstroTech Builtin on user segmentation, fintech verticals, and expansion opportunities in remittance-heavy markets like the Philippines. She also builds her own consumer MVP concepts, combining campus-based user research, community-led growth ideas, and AI-assisted prototyping with a strong instinct for messaging and value communication.”

“Operations-to-engineering builder who turned a real dispatcher pain point into a live fleet-tracking and routing prototype using React, FastAPI, WebSockets, and mapping/routing tools. Also building AI workflow-automation products for non-technical office users, combining deterministic validation, sandbox replay, and LLM-assisted workflow splitting. Especially interesting for teams that value scrappy zero-to-one product ownership and practical automation.”

“Manager at Prophet with 5 years in management consulting, spanning growth strategy, monetization, market expansion, and go-to-market work for clients including Netflix, AstroTurf, PwC, and Success Academy. Stands out for combining mixed-method research, analytics, and cross-functional execution to drive measurable outcomes, including an 18% improvement in teacher retention and pilot-based rollout strategy work at Netflix.”

“Autonomous robotics student who built an end-to-end ROS2 semantic goal navigation system as a solo course project, integrating CLIP-based vision-language understanding with SLAM Toolbox and Nav2 to execute natural-language commands in Gazebo/RViz. Also implemented and tuned an RRT planner from scratch in Python and uses Docker plus GitHub workflows for reproducible, tested robotics codebases.”

“AI/LLM engineer with production experience at Charles Schwab building a RAG-based assistant to help 5,000+ reps answer complex financial policy questions. Implemented a multi-layer anti-hallucination approach (GNN-driven ontology/graph retrieval + citation-only answers) and compliance-focused guardrails (Azure AI Content Safety) in partnership with audit/compliance stakeholders.”