Vetted Microsoft Excel Professionals

“Amazon Fire TV Devices engineer who built and shipped a production LLM-powered lab triage and validation system that grounds recommendations in internal runbooks/known-issue data and pushes evidence-based actions via dashboards and Slack. Emphasizes safety and measurability with structured JSON outputs, replay-based evaluation on historical incidents, and production metrics (e.g., disagreement rate and time-to-first-action), plus cost/latency optimizations like caching, batching, and rule-based fast paths.”

“Built and deployed a production generative AI chatbot at NVIDIA using LangChain + GPT-3 integrated with internal data sources, cutting response time nearly in half and improving CSAT by ~12 points. Also delivered LLM-driven QA tools by fine-tuning Hugging Face transformer models and deploying via an AWS-based pipeline (Lambda/Glue/S3) with orchestration (Airflow/Step Functions), CI/CD, Kubernetes, and monitoring (MLflow/Splunk/Power BI).”

“Consulting project manager in global trade/compliance and regulatory reporting, leading cross-functional initiatives for global clients (tax, customs, supply chain, IT, finance) including US tariff exposure mitigation and EU carbon reporting. Built repeatable automations in Alteryx for US Customs Reconciliation filings (replacing large Excel models) and drives executive alignment through concise, decision-ready briefs and strong governance.”

“LLM-focused customer-facing engineer who repeatedly takes document Q&A and agentic prototypes into secure, monitored production systems. Experienced in reducing hallucinations via RAG + guardrails, diagnosing retrieval/embedding issues in real time, and partnering with sales to run metrics-driven PoCs that overcome accuracy/security objections and drive adoption.”

“Business manager experienced in driving cross-functional budgeting, governance, and portfolio changes while maintaining executive alignment. Supported post-acquisition integration by improvising custom Excel dashboards and weekly executive reporting to track a 70-person global hiring push when systems access was delayed; the reporting approach became a reusable HR template.”

“Appian consultant/engineer focused on insurance and financial services modernization and AI-enabled workflows. Built and productionized an AI-driven insurance submission intake system (email ingestion, classification/extraction, HITL review) cutting processing time from 2+ hours to under 10 minutes, and delivered semantic smart search with guardrails and UAT-driven ranking improvements. Also partnered with a global bank CTO org, running sessions with 200+ senior leaders to automate regulatory/board metric reporting via platform integrations and attestation.”

Carlee Schiller

Screened

VP Human Resources Business Partner specializing in regulated financial services

Jersey City, NJ10y exp

“HR Business Partner with 8 years supporting a Jersey City office while working closely with distributed teams. Early in career built Excel-based HR analytics dashboards (headcount/turnover/diversity) and ER tracking that became foundational to establishing an HR Data & Analytics function. Experienced partnering with senior leaders and legal on sensitive restructurings/RIFs, including risk analysis, separation planning, and manager coaching.”

Mo Hallaba

Screened

Executive Founder & Corporate Strategy leader specializing in AI data analytics and gaming

New York, United States18y exp

“Startup CEO/founder (9 years) who built an AI data assistant and ran cross-functional GTM + engineering prioritization using OKRs and KPI-driven sales experimentation. Previously worked in finance on M&A due diligence for multi-billion-dollar transactions, including hands-on NDA/confidentiality work; seeks roles at $250k+ depending on equity and fit.”

Tara Petrin

Screened

Executive Marketing Leader specializing in MarTech, CRM, and digital growth

Los Angeles, CA14y exp

“Marketing/CRM professional who has built a CRM and marketing department from scratch—starting with Excel, then integrating into a formal CRM—using segmentation by geography (zip code/geofencing) and profession. Has run retention and lifecycle programs across both B2B and B2C via email/newsletters/social, with A/B testing experience and exposure to major clients including Fox and Sony.”

Saiteja Gaddam

Screened

Mid-Level Data Engineer specializing in cloud data platforms and streaming analytics

3y exp

“Data engineer (Intuit) who owned an end-to-end telemetry and subscription analytics platform processing ~22M events/day, built on Kinesis/S3/Glue/Spark/Airflow/Redshift. Strong focus on reliability and data quality (schema drift controls, quarantine layers, idempotent reruns) and performance tuning, achieving a reporting latency reduction from ~15 minutes to under 4 minutes while enabling revenue and churn analytics for business teams.”

Babita Aswani

Screened

Senior Customer Success Operations Manager specializing in B2B SaaS and AdTech

Fremont, CA9y exp

“Customer success / operations professional from PubMatic (ad tech) focused on onboarding and growing enterprise publisher accounts. Leverages analytics tooling (Looker/Tableau) and monetization KPIs (fill rate, eCPM) to drive adoption, retention, and expansion, including a reported ~30% usage lift over six months and cross-functional A/B-tested product changes that increased revenue.”

Surya Vardhan

Screened

Junior Operations Data Analyst specializing in KPI dashboards and SLA reporting

Seattle, WA1y exp

“Manufacturing/quality-focused professional with experience at Sikorsky Aerospace supporting aircraft parts production for clients such as Boeing and Cobham. Drove data-driven process improvements (cleaned/visualized production data) and redesigned material usage to cut delays by ~20% and reduce waste, while coordinating across production, inspection, QC, and delivery readiness.”

Rachel Ng

Screened

Mid-level Marketing Account Manager specializing in integrated and multicultural campaigns

Toronto, Canada7y exp

“Influencer/creator marketing specialist with experience at Balmoral Marketing running end-to-end creator partnerships for FreshCo in Ontario, including sourcing, negotiating usage rights and deliverables, and measuring performance via reach/engagement/views and sentiment. Leverages an established creator network to move quickly (e.g., 2-week lead time) and uses paid channels (Meta, programmatic, Google) plus A/B testing and Google Analytics to optimize CTR and engagement.”

“Built an AI-powered job outreach application for his own job search and took it from idea to production use, owning architecture, FastAPI backend, retrieval/generation pipeline, frontend workflow, deployment, and iteration. Especially compelling for teams needing a pragmatic full-stack engineer who can turn LLM-based product ideas into usable, maintainable tools with measurable workflow impact.”

“Compensation and payroll professional with hands-on experience supporting end-to-end U.S. payroll and compensation cycles in Workday. Stands out for building Excel-based validation and reconciliation models, resolving HRIS/payroll/finance mismatches at the root-cause level, and adding controls that improve payroll accuracy and compensation decision-making.”

“Private equity/growth investor with sourcing-heavy experience across software, currently at PSG within a $30B AUM platform after originating 1200+ net new companies at Akmazo Capital. Stands out for combining high-volume outbound founder sourcing with rigorous market research and relationship-building that has led to proprietary SaaS deals and active investment diligence.”

“Gameplay engineer with hands-on experience across Unreal Engine 5 and Unity, owning systems from level streaming/teleportation to motion-matched character movement. Has shipped/implemented multiplayer features including GAS-based replication with prediction/reconciliation and a deterministic lockstep runner using fixed-point math. Strong at diagnosing hard-to-repro physics issues and balancing performance/feel (e.g., mobile voxel A* pathfinding at 60 FPS, Chaos destruction tuned to avoid trapping players).”

“Co-founded and led the business side of Plasma Nutrition for a decade, commercializing atmospheric-plasma technology to improve protein efficacy/absorption. Bootstrapped for 5 years before raising venture funding, leveraged FoodX accelerator validation, and navigated a major go-to-market pivot (B2C to B2B). Drove growth by renegotiating out of an exclusive manufacturing arrangement and scaling to roughly six brand partners within a year.”

“Former AA-level GTHL player with a strong interest in the business/management side of hockey, including salary cap structures, roster building, and player evaluation. Selected for a sports mentorship program with a Toronto Maple Leafs Assistant GM (monthly sessions), and is comfortable creating educational social media content to guide hockey families through development and recruiting pathways.”

“Internship experience building a production LLM-powered podcast operations agent that automated lead intake (HubSpot), guest research, scheduling (Calendly), meeting-summary evaluation (Gemini), and human approval via Slack bot—while retaining rejected candidates for future outreach. Also contributed to ideation of a multi-agent orchestration framework with parsing and task routing, and emphasized reliability via structured prompts, HITL feedback, and prompt-based test sets.”

“Backend-focused software engineer (4+ years) across e-commerce, banking, and healthcare who owned mission-critical checkout/order management end-to-end and improved peak-traffic success rates via resiliency patterns (timeouts/retries/caching) and data-driven iteration. Also built and shipped real-time operational dashboards (React/TypeScript + Spring Boot) using WebSockets and event-stream integrations, with strong experience in Kafka/RabbitMQ-style messaging at scale.”

“Full-stack engineer (~4 years) who has owned and shipped customer-facing SaaS onboarding and a role-based real-time analytics dashboard using TypeScript/React with a modular backend. Experienced in microservices with RabbitMQ and strong observability practices (correlation IDs, structured logging, queue metrics), and built an internal deployment tracker integrated with CI/CD that replaced manual spreadsheet/Slack processes.”

“Built a hackathon "Patient Summary Assistant" backend focused on healthcare workflows, combining RAG-based summarization with HIPAA-minded privacy controls (NER redaction + encryption). Demonstrated strong infra skills by deploying on Kubernetes with Helm/HPA and GitOps (ArgoCD), plus migrating from OpenAI to an on-prem Llama 3 stack (vLLM, quantization, shadow-mode testing) and adding real-time Kafka ingestion for patient vitals/anomaly alerts.”

“Built and deployed a production RAG-based multi-agent chatbot during an internship to help consultants answer client questions and guide users through new IT systems with step-by-step instructions. Demonstrates hands-on experience with LangGraph/LangChain/Google ADK, unstructured document parsing and chunking for RAG, and a reliability-first approach to agent workflows (metrics, fallbacks, human-in-the-loop, guardrails).”