Vetted Microsoft Excel Professionals

Muhammad Mufti Aziz

Screened

Mid-level Product & QA Specialist specializing in FinTech payments and growth

London, UK6y exp

“QA tester with console game experience across PlayStation/Xbox/Nintendo, focused on online multiplayer stability and monetization/reward flows, with pre-launch defect prevention. Brings a regulated fintech compliance-testing background and applies structured triage, SQL-based server/client validation, and AI-assisted workflows to accelerate coverage and debugging.”

Francesco Brischetto

Screened

Mid-level Game/VR Software Engineer specializing in Unity and Unreal multiplayer

Catania, Italy4y exp

“Unity/VR multiplayer developer with Photon Fusion experience who focuses on "game feel" and networking performance—profiling input/velocity to replace linear interpolation with Animation Curves, and refining camera smoothing to improve playtest feedback. Also has Unreal Engine C++ multiplayer experience with Epic Online Services and applies bandwidth-minimization strategies for smooth real-time VR under latency.”

Nagendra Reddy Palugulla

Screened

Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps

Florida, United States4y exp

“Built and shipped a production real-time content moderation platform for Zoom/WebEx-style meetings, combining Whisper speech-to-text with fast NLP classifiers and REST APIs to flag hate speech, bias, and HIPAA-related content under strict latency constraints. Demonstrates strong MLOps/infra depth (Airflow, Kubernetes, Terraform/Helm, observability) and a pragmatic approach to reducing false positives via threshold tuning, context validation, and hard-negative data—while partnering closely with compliance and product stakeholders.”

Alex Dy-Buncio

Screened

Senior Performance Marketing Manager specializing in PPC and growth analytics

Temecula, CA19y exp

“Paid media specialist who owned a $75K+/month veterinary franchise account, primarily on Google Ads and Google Local Services Ads, focused on scaling acquisition while holding a Target CPA of $85. Uses a disciplined bi-weekly testing and optimization framework (search terms, negatives, landing page lead flows, bidding tests) and reports driving ~18% MoM revenue growth while improving ROI and reducing CPA.”

Rizwan Manzoor

Screened

Senior Media Buyer specializing in content & search arbitrage

Sargodha, Pakistan9y exp

“Performance media buyer focused on content/search arbitrage and native advertising, managing $100K+/month budgets across Taboola, Outbrain, MGID, Zemanta, Newsbreak, and MediaGo. Emphasizes systematic creative/placement/bid testing and rapid optimization, citing ~20–30% RPM improvement while scaling spend and recovering ROI quickly after performance drops.”

Satish Kumar Reddy

Screened

Mid-level AI/ML Engineer specializing in NLP, computer vision, and MLOps

Remote, NJ5y exp

“Built and deployed a production LLM/RAG intelligent document understanding platform for healthcare clinical documents (notes, discharge summaries, diagnostic reports), integrating spaCy entity extraction, Pinecone vector search, and a Spring Boot API on AWS with monitoring and guardrails. Demonstrates strong MLOps/orchestration (LangChain, Airflow, Kubeflow/Kubernetes) and a metrics-driven evaluation approach, and partnered with a healthcare operations manager to cut manual review time by 80%.”

“Recruiting/staffing professional with experience owning full-desk searches in high-volume environments, from sourcing through offer close and onboarding. They stand out for bringing structure to ambiguous or stalled searches by resetting hiring-manager alignment, using pipeline and market data, and enforcing feedback cadence to keep roles moving.”

“Early-stage GTM seller with a strong self-sourced outbound motion who has sold growth-focused solutions to founders, heads of growth, and revenue leaders. Stands out for building structure in ambiguous environments—refining ICP, messaging, qualification, and process—and for driving measurable pipeline gains, including increasing qualified meetings from ~5 to ~25 per month and improving conversion rates from ~20% to ~35%.”

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.”

Bryanna Arreola

Screened

Senior Digital Marketing leader specializing in fashion e-commerce and brand growth

Los Angeles, CA8y exp

“CRM/lifecycle marketer with hands-on ownership of promotional campaign calendars and Braze-based welcome journeys across email and SMS. Demonstrates a structured execution process using Asana, plus practical personalization and testing experience that improved engagement and lifted AOV through product recommendations.”

Abhishek Ghaisas

Screened

Intern-level Data Scientist specializing in AI and full-stack applications

Pune, India1y exp

“Engineer with hands-on experience building production ML and Python backend systems, including a real-time social media monitoring pipeline handling 1000+ events per second and a prototype AI operations assistant for Seattle-Tacoma Airport. Stands out for combining reliability engineering, automation, and LLM/NLP-to-SQL work, with measurable impact such as improving uptime from 92% to 99.4%.”

“AI/automation-focused implementation engineer who has owned customer-facing LLM deployments end-to-end, spanning support automation, lead outreach, and messy document-processing workflows. Stands out for combining hands-on technical depth in Python/OpenAI/RAG systems with measurable business impact, including cutting support resolution time from 24 hours to 6 hours and reducing manual outreach work by 60%.”

“Sales leader in the casino/gaming equipment space with 5 years managing a multi-state team and owning an eight-figure revenue number. Stands out for winning complex regulated enterprise deals, improving sales operating rhythm beyond standard Salesforce usage, and rebuilding field confidence in a previously failed product category that went on to sell 2,500+ units in its first year.”

“Product Marketing Analyst whose role has evolved into a CRM/lifecycle and retention-focused function spanning segmentation, onboarding, engagement, and GTM strategy. They stand out for combining customer psychology, analytics, and operational campaign rigor to improve targeting precision and drive recurring revenue growth in consumer/service-oriented DTC-style environments.”

“Lifecycle and CRM marketer whose experience spans Salesforce and HubSpot across real estate, e-commerce, retail partner, and customer engagement environments. Progressed from execution support to owning integrated lifecycle and demand generation programs end-to-end, with notable impact at DADO where campaign work contributed to 40% revenue growth and doubled organic traffic.”

“Lifecycle/CRM marketer at Datazoic who builds post-onboarding activation and retention programs end-to-end, partnering with Analytics for behavioral segmentation and running rigorous A/B tests across messaging, timing, and CTAs. Also orchestrates cross-functional product feature rollouts (Product/Creative/Analytics) to align customer messaging with in-product experience, driving high engagement and fewer customer inquiries.”

“Frontend-focused engineer with internship experience at eXp Realty and Pulse InfoFrame, building survey platforms and a drag-and-drop survey management UI in React + TypeScript. Notably helped execute a post-deployment migration from DynamoDB to Amazon RDS to enable scalable SQL aggregation (tested with ~70k survey instances), and monitored rollout via CloudWatch/Cloudflare logs while driving QA and load testing.”

“At Provenbase, built and shipped a production LLM-powered semantic search and candidate matching platform (RAG with GPT-4/Gemini, multi-agent orchestration, Elasticsearch vector search) to scale sourcing across 10M+ candidate records and 1000+ data sources. Drove sub-second performance, cut LLM spend 30% with routing/caching, and improved recruiting outcomes (+45% sourcing accuracy; +38% visibility of underrepresented talent) through bias-aware ranking and tight collaboration with recruiting stakeholders.”

Jason Tsui

Screened

Executive Finance Leader specializing in FP&A, BI, and cash flow optimization

Orange, CA14y exp

“Founder and financial-operations-focused consultant who builds FP&A/BI frameworks for early-stage and legacy businesses, including KPI systems tied to month-end close and integrated manufacturing/distribution datasets (BOM, PPV, rolling forecasts). Drove a 400% cash-position increase for a distribution client by redesigning collections analytics (customer-level DSO + proprietary PTC ratio) and has coached PE-installed executives through U.S. operational/legal and cultural nuances.”

Chrystopher Henderson

Screened

Senior Sports Journalist and Warehouse Logistics Professional

Torrance, CA9y exp

“Youth basketball parent-coach with ongoing one-on-one coaching for an eighth-grade daughter preparing for high school, combined with professional sports media/journalism experience that included regular dialogue with pro scouts. Evaluates players beyond highlights, focusing on coachability, work ethic, and how athletes respond to adversity.”

“QA professional with end-to-end ownership who combines automated, rule-based data validation (expected vs actual) with structured CAPA practices (5 Whys, Pareto, SOP updates, in-line checks, and hands-on training). Experienced coordinating multi-workstream QA timelines via centralized dashboards, weekly cadence, and escalations with third-party/global stakeholders.”

Derrick Lewis

Screened

Senior Marketing Leader specializing in full-funnel growth, lifecycle and product marketing

Milton, ON, Canada22y exp

“B2B growth and partnerships operator with experience at Convera leading GTM for a cross-border payments offering and driving a ~17% lift in qualified leads through refined positioning and multi-channel activation. Has run data-driven funnel experiments (Dentacloud) and built association-based co-marketing partnerships measured through both top-of-funnel engagement and downstream pipeline influence.”

Kyle Lampley

Screened

Mid-level Academic Program Coordinator specializing in student services and event logistics

San Luis Obispo, CA5y exp

“Coordinator at a Black Academic Excellence Center who runs full-cycle hiring for student employees, including sourcing via campus channels, structured candidate evaluation, offer coordination, and onboarding/timekeeping setup. Demonstrates a process-driven approach to maintaining diverse pipelines and keeping high-volume searches moving through proactive hiring manager alignment and metric-based tracking.”

“Built a production 13-step LLM agent pipeline at Sentari AI that converts diary entries into personalized AI responses and a persistent structured user profile. Stands out for a pragmatic approach to production AI: strict schemas, function calling, state-machine orchestration, confidence thresholds, logging, and validation layers to control non-determinism and prevent bad profile updates.”