Vetted Microsoft Excel Professionals

“Data scientist at Guardian Airwaves building a RAG-powered quiz generator using Grok AI, with hands-on experience solving hard document-ingestion problems (PDFs with images/tables) via unstructured.io and LlamaIndex. Has deployed production systems on AWS EC2 and brings a pragmatic approach to agent reliability (human-in-the-loop, LLM-based eval, latency/cost metrics) while effectively translating RAG concepts to non-technical stakeholders.”

“Full-stack web developer who reports owning both backend and frontend design, including database-first design and jQuery-based web UI work (shared a GitHub project link). Claims to have delivered a project planned for 4 months in just 2 weeks and emphasizes strong personal code quality standards.”

“HR Business Partner with experience supporting and scaling product, design, analytics, and technical orgs, including global stakeholder management across the US, Australia, and the UK. Known for bringing consistency to performance/ER/leave practices across regions by partnering with Legal/Payroll/People Ops, and for stabilizing teams during major org changes through role/reporting alignment and manager toolkits.”

“Early-career candidate with customer service experience and a cybersecurity bootcamp background (vulnerability management). Undergraduate project focused on securing online exams during COVID using identity verification (facial recognition + email/phone code) and 360-degree monitoring to reduce cheating, and they navigated student pushback to enforce integrity.”

“Customer Success Engineer focused on secure customer integrations for web/AI analytics solutions, frequently aligning retail/business teams with security requirements. Has hands-on experience troubleshooting and hardening API-based integrations in AWS (IAM least privilege, VPC/private subnet patterns, CloudWatch/CloudTrail) and delivering repeatable containerized deployments via Bitbucket CI/CD.”

“Paid media specialist with nonprofit/fundraising experience at Keelworks Foundation, running high-spend acquisition across Google, Meta, and LinkedIn (and familiar with TikTok). Uses CRM-driven funnel segmentation and disciplined A/B testing across ads, landing pages, and email flows; has recovered stalled performance and delivered ~10% donation growth while tracking deep donor-quality KPIs (lead-to-donor, retention, avg gift).”

“Game QA professional experienced in live production pipelines with daily builds and sprint cadence, emphasizing LKG-based verification/regression, smoke/BVT stability checks, and disciplined backlog closure. Known for isolating low-repro gameplay/system defects using video evidence and logs, and for streamlining team workflows through standardized JIRA/Azure DevOps templates and data-driven quality feedback to designers/engineers.”

“Quality/process professional with hands-on supplier quality experience across consumer hardware (electric skateboards) and construction/field services. Uses rigorous statistical and root-cause methods (Ishikawa, 5 Whys) to drive CAPA closure with overseas suppliers, adding inspection gates and IQC, and validating fixes through multi-month sampling follow-up.”

Pravelliika Chirivella

Screened

Mid-level Full-Stack Developer specializing in Django/React and FinTech automation

New York, NY3y exp

“Product-minded full-stack engineer who owns customer-facing products end-to-end and iterates quickly using MVP validation, feature flags, automated testing, and staged rollouts. Has built TypeScript/React systems with modular backends and designed microservices with async messaging (RabbitMQ), handling scale issues like ordering, retries, and idempotency. Also delivered an internal ops automation tool with a self-serve real-time workflow dashboard that reduced errors and drove rapid adoption.”

utkarsh jaiswal

Screened

Intern Marketing Analytics professional specializing in GA4, experimentation, and BI reporting

Boston, MA3y exp

“Outbound-focused business development profile spanning a family-owned construction materials business in India and an early-stage startup (Jetvoy) targeting Web3/travel partners. Built ICP, messaging, and a spreadsheet-based CRM from scratch, ran multi-channel campaigns (email/LinkedIn/calls), and leveraged tools like Sales Navigator, Apollo, HubSpot/Sheets, Zapier-style automations, and ChatGPT to improve reply/meeting rates through personalization.”

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).”

Adam Folsom

Screened

Mid-level Venture Capital & Growth Associate specializing in startups, creator economy, and Web3 media

Los Angeles, CA5y exp

“Early-stage venture/product studio operator (BESO) focused on sourcing and evaluating founders and moving opportunities through diligence toward partnerships. Uses a multi-channel outbound approach (LinkedIn/X, community events, accelerators, Reddit) and builds trust by bringing market research and regulatory insights (e.g., sports tech/gambling) to founders while running a structured, CRM-driven pipeline.”

“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.”

“Hands-on backend engineer with practical experience improving latency in Django-based API systems by fixing missing indexes and eliminating N+1 queries. Also built an AI scheduling system using FastAPI, a relational database, AI/ML workflows, and an operational reporting dashboard, with a clear bias toward correctness and maintainable architecture.”

Lauren DeVera

Screened

Mid-level digital marketer specializing in paid media and performance marketing

Vancouver, WA6y exp

“Performance marketer with experience managing over $1M/month in spend, including agency work on TurboTax across TikTok, X, Meta, and Snapchat. They combine hands-on media buying with creative strategy leadership, and cite measurable gains in lead volume, ROAS, and CPL while showing a disciplined, data-driven approach to testing and scaling. Currently seeking contract work.”

“Senior AI/ML engineer with hands-on experience building production LLM systems in healthcare, including RAG-based clinical question answering and end-to-end MLOps on Vertex AI and Kubernetes. They combine strong platform engineering with applied GenAI work, citing a 35% improvement in factual accuracy and a 30% boost in internal team productivity through modular Python services and CI/CD.”

“Growth marketer with strong end-to-end ownership across messaging, experimentation, and funnel systems for complex products and international expansion. They combine customer research, cross-functional sales/product alignment, and marketing automation to drive measurable outcomes, including 18% MoM customer acquisition growth, 40% lower MQL-to-SQL friction, and a 24% lift in SQL-to-opportunity conversion.”

Jordan Griffin

Screened

Mid-level campaign manager specializing in ad operations and digital media

New York, NY6y exp

“Candidate comes from a large advertising campaign/client-facing environment rather than pure outbound sales, but demonstrates strong transferable strengths in stakeholder management, personalized communication, and performance-driven iteration. They regularly coordinate high-priority campaigns with senior client contacts and internal teams, tailoring updates and recommendations by audience to maintain alignment and trust.”

“Candidate brings hands-on grassroots marketing and operations experience from a breakdance nonprofit, where they drove outreach to sponsors, venues, staff, and high-profile community figures to execute events. They also supported a coffee shop CEO with local market research, AI-assisted analysis, and college-focused customer targeting, showing a blend of creative community engagement and practical go-to-market thinking.”

Arie Eskinazi

Screened

Senior Performance Marketer specializing in paid social for DTC eCommerce

Boca Raton, FL10y exp

“Founder of Ventivation Media who has spent the last 2.5 years as a hands-on Meta buyer and creative lead for DTC and telehealth brands, owning strategy, execution, attribution, and client communication end to end. Particularly strong in creative-led performance marketing for health and wellness categories, with measurable gains across his portfolio and a clear track record of rebuilding underperforming accounts through funnel architecture and structured testing.”

“Candidate gained startup-facing sales experience at Larson, where they helped build a more consistent outbound pipeline targeting founders, operators, and mid-market decision-makers. They stand out for using early company signals like hiring spikes and recent funding to prioritize accounts, improve reply and conversion rates, and influence broader targeting strategy.”

“Backend engineer who has designed and evolved high-traffic event/activity management systems using Node/Express and PostgreSQL, prioritizing scalability and reliability with a layered architecture. Has led zero-downtime refactors/migrations using parallel runs, dual writes, and rigorous validation/monitoring, and brings a security-focused API approach (JWT, RBAC/ABAC, rate limiting, DB-enforced tenant/RLS filters).”

“Built and deployed a scalable, production-ready LLM knowledge assistant using a RAG architecture (LangChain + vector store/FAISS) to replace keyword search for internal documents. Demonstrates hands-on expertise in hallucination reduction and retrieval quality improvements through semantic chunking, similarity tuning, prompt design, and human-in-the-loop validation, plus strong stakeholder communication via demos and visual explanations.”