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Vetted A/B Testing Professionals

Pre-screened and vetted.

VP

Vikesh Patel

Screened ReferencesStrong rec.

Senior AI/ML Engineer & Data Scientist specializing in LLMs, RAG, and MLOps

Eagan, MN8y exp
Intertech, Inc.Metropolitan State University

ML/NLP practitioner who has delivered production systems in regulated domains, including a healthcare compliance pipeline using RAG (GPT-4/Claude) plus TF-IDF retrieval that increased document review throughput 4.5x. Also has hands-on experience improving fraud detection data quality via entity resolution (Levenshtein, Dedupe.py) validated with A/B testing, and building scalable, monitored workflows with Airflow, CI/CD, and AWS SageMaker.

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OO

Ose Okpamen

Screened ReferencesStrong rec.

Mid-level Product Manager specializing in UX, growth, and data-driven product strategy

London, UK12y exp
Join MomentumUniversity of East London

Product manager from edTech focused on AI-driven, B2B HR training simulations (live work-scenario platforms). Demonstrated measurable funnel improvement by diagnosing a registration drop-off issue, coordinating a cross-functional fix (including Android), and delivering ahead of schedule, resulting in a 20% increase in sign-ons. Has shipped/managed products on web and mobile.

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SP

Senior SaaS Performance Marketing Manager specializing in demand gen and ABM

Bangalore, India11y exp
Scrut AutomationSymbiosis Institute of Business Management, Bangalore

B2B growth and demand gen marketer focused on cybersecurity/industrial automation contexts, with experience building partnerships (e.g., ISACA chapters) and running event-led GTM. Demonstrated measurable impact including ~$1M event pipeline (20% conversion) and scaling paid search spend ($15K→$130K) to grow SQOs to ~35–40/month, plus strong LinkedIn-based network activation with senior security leaders.

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SR

Swapnil Ramanna

Screened ReferencesModerate rec.

Mid-level Data Scientist specializing in Generative AI and Healthcare Analytics

3y exp
AdvocateIndiana University-Purdue University

Built a LangGraph-based, tool-routing LLM chatbot to deliver fast, trustworthy investment-stock insights (including tariff impact) and deployed it to production on Snowflake after initially developing in Azure with AI Search and the Microsoft Agent Framework. Improved routing robustness by moving from LLM-based decisions to a deterministic router backed by schema-relationship graphs and YAML metadata, and ran the project iteratively with non-technical stakeholders over an 8-month engagement.

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AG

Alexis Gray

Screened ReferencesStrong rec.

Mid-level Digital Marketing Strategist specializing in SEO & PPC

Flint, Michigan3y exp
Click Control MarketingFrancis Marion University

Paid media specialist with hands-on ownership of $50K+/month Google and Microsoft Ads spend for a large brand, emphasizing disciplined manual optimization (Shopping/PMax + Merchant Center feed alignment) to scale without sacrificing efficiency. Maintained 3x+ ROAS while more than doubling revenue (~$100K+ to $210K+ in 12 months) and has a strong track record diagnosing performance issues (e.g., feed/title relevance) and communicating results in client-safe terms.

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AS

Adithya Sharma

Screened ReferencesModerate rec.

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

Remote, USA5y exp
EncoraUniversity of Michigan-Dearborn

Built and deployed a production LLM-powered text-to-SQL/document intelligence chatbot on AWS that lets non-technical business users query complex enterprise databases in plain English. Demonstrates deep practical expertise in schema-aware prompting, embeddings-based schema retrieval, SQL safety/validation guardrails, and rigorous offline/online evaluation with human-in-the-loop approvals for risky queries.

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ST

Sam Tahani

Screened ReferencesModerate rec.

Senior Growth & B2B Marketing Lead specializing in GTM, partnerships, and lifecycle growth

Toronto, Canada13y exp
Eyvan Inc.Keimyung University

Growth/partnerships operator in gaming/creator ecosystems who builds measurable, retention-focused creator deals (hybrid comp, clear rights/exclusivity, UTMs/codes) and iterates based on activation/early retention. Runs repeatable creator-driven acquisition experiments and GTM launches, with a demonstrated bias toward niche creators and rapid testing to improve conversion efficiency and sustainable growth.

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PJ

Priyank Jhaveri

Screened ReferencesModerate rec.

Junior AI/ML & Mobile Engineer specializing in LLMs, synthetic data, and React Native

New York, United States1y exp
Uplifty AIDrexel University

Currently at Uplift AI shipping production LLM features that generate personalized growth insights from user reflections using BERT + embeddings + RAG, with strong safety/guardrail practices for sensitive contexts. Also built an end-to-end React Native UGC challenge submission/moderation system that improved repeat submissions and 7-day retention, and has applied rigorous clinical-style evaluation methods on a dental X-ray disease detection project to reduce false negatives.

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DO

Dennis Onyukwu

Screened ReferencesModerate rec.

Senior Performance Marketing Manager specializing in SEO, paid media, and lifecycle growth

Caudalie, Asana, Build-a-Bear, Slack, AutoDesk8y exp
Thrive Digital AgencyMichael Okpara University of Agriculture

Creator-first growth and partnerships operator spanning gaming and consumer (skincare) launches, combining creator-led activations with paid amplification across Meta/TikTok/Discord. Strong in performance-based deal structures and rigorous measurement (CAC, ROAS, cohort/LTV) to scale what works and stop what doesn’t; has delivered 3.4x ROAS partnerships and a 31% new-customer lift in a GTM.

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SS

Swati Sharma

Screened

Mid-level Digital Marketing Specialist specializing in paid media and e-commerce growth

Mississauga, Canada7y exp
Blestoroxx EnterprisesGuru Nanak Dev University

Performance marketer focused on lead-generation campaigns, with hands-on ownership of $100K/month spend across Meta and Google (including YouTube) and a testing-heavy TikTok approach. Demonstrates structured full-funnel planning, disciplined creative testing/scaling (ABO/CBO), and fast diagnosis of performance drops (creative fatigue, keyword waste) to restore ROAS/CPA.

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MM

Junior Digital Marketing Coordinator specializing in Google Ads and conversion tracking

Skardu, Pakistan3y exp
UpworkUniversity of Baltistan

Digital/performance marketer with 3+ years of experience running paid social and search, including managing a $50K/month budget across Meta and Google Ads for lead gen and sales. Emphasizes full-funnel channel allocation (TikTok/Meta for discovery, Google for intent), structured testing using CPA/CTR/CVR/ROAS, and pragmatic optimization tactics like creative refreshes and audience expansion to counter fatigue and saturation.

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PD

Senior Growth & Performance Marketing Manager specializing in digital advertising

9y exp
BrightChampsModi Institute of Technology, Kota

Paid media specialist running multi-platform acquisition for e-commerce, allocating budgets across Meta/Google/TikTok/Snapchat and optimizing toward conversions and ROAS. Emphasizes structured creative experimentation (video engagement + LPCR) and audience segmentation/exclusions to reduce overlap, with a seasonality recovery example in jewelry (post–Mother’s Day retargeting with offers to restore ROI).

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SB

Sean Berry

Screened

Senior Digital Marketing Manager specializing in paid media, SEM, and analytics

Richmond Hill, Canada10y exp
Berry Digital MediaSeneca Polytechnic

Marketing/growth practitioner who acquires clients through in-person events and runs multi-channel GTM campaigns. Strong in performance marketing and SEO (including achieving #1 rankings) and in conversion optimization using Microsoft Clarity and Google Analytics to improve engagement and lead volume.

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HT

Heather Talla

Screened

Director-level B2B Marketing & Growth Leader specializing in demand gen and lifecycle revenue

DeLand, FL8y exp
John 3:16 MissionCentral Christian University

Digital Specialist/Media Buyer at John 3:16 who managed $50K+/month in spend (≈$500K/year) across a broad omnichannel mix (search, social, programmatic, CTV/OTT/DOOH, audio, geofencing, email acquisition). Delivered 17% YoY growth vs a 7–8% target and implemented new online giving options (DAF, crypto, stock) contributing to 24% growth on a ~$15M annual giving base.

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AA

Ankit Arora

Screened

Senior Growth & Performance Marketing Specialist in Paid Media and User Acquisition

Dubai, UAE7y exp
ODLAIndira Gandhi National Open University

Performance marketer with experience owning very high-spend Meta + Google campaigns for DTC, including a Black Friday month where they report ~$1.3M ad spend driving ~$4M revenue across multiple international markets. Leans heavily on structured offer strategy, high-volume creative testing, and third-party attribution tools (Triple Whale/Hyros), and has hands-on experience navigating Meta policy constraints for financial-product advertising.

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SS

Mid-level AI Engineer and Data Scientist specializing in LLM agents and RAG systems

Palo Alto, CA5y exp
LemmataUniversity at Buffalo

Built a production-grade LLM evaluation and regression system that stress-tests models across hundreds of iterations, combining LLM-as-judge, semantic similarity, statistical metrics, and rule-based checks, with results delivered via stakeholder-friendly HTML reports and dashboards. Experienced orchestrating multi-agent RAG workflows using LangChain/LangGraph and event-driven GenAI pipelines in n8n integrating OCR, speech-to-text, and external APIs, with strong emphasis on reliability, observability, and explainable failures.

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MM

Mid-level Programmatic Account Manager specializing in omnichannel and streaming advertising

Chicago, IL7y exp
Division-DIndiana University College of Arts and Sciences

Performance marketer experienced managing $50K+/month+ budgets across major DSPs and social/video platforms (TTD, DV360, Meta, Amazon, LinkedIn, TikTok, Reddit, CTV/streaming). Highlighted a multi-channel campaign for a Chicago architectural boat tour that used pixel-based purchase tracking to achieve an 8:1 ROAS and drive millions in attributed sales, with a disciplined testing and optimization cadence.

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AG

Junior Data Analyst specializing in marketing analytics and machine learning

Dallas, Texas1y exp
Maverick Digital TechnologiesUniversity of Texas at Arlington

Built and deployed a production LLM-assisted recommendation and insights platform that unifies structured, semi-structured, and unstructured data via a modular ingestion pipeline, canonical schemas, embeddings, and late-fusion modeling. Experienced in operationalizing ML/LLM systems with Airflow and Kubernetes (Dockerized services, autoscaling, rolling updates) and emphasizes reliability through layered testing, guardrails, monitoring, and A/B experimentation while partnering closely with non-technical stakeholders.

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EP

Mid-level Front-End & Mobile Engineer specializing in TypeScript, Angular, React, and Flutter

Rio de Janeiro, Brazil5y exp
CoopersystemFluminense Federal University

Frontend engineer who led Curion’s end-to-end UI architecture for a real-time meetings/elections product, emphasizing scalability, testing, and CI/CD. Has built complex React+TypeScript dashboards (Redux) and improved a Flutter codebase with DDD and dependency injection, enabling smoother third-party swaps like Zoom to LiveKit and rapid delivery of Brazil-specific payment methods (PIX/Boleto).

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DM

Mid-level Marketing Coordinator specializing in CRM and email marketing

Pasadena, CA6y exp
HUB InternationalMt. San Antonio College

CRM/lifecycle marketer with demonstrated success driving webinar acquisition and conversion for a business compliance campaign (260+ registrations, 180 attendees, 100+ service conversions). Uses segmentation, A/B testing, and metric-driven pivots (10–25% lift in opens/clicks) and has experience coordinating cross-functionally on large in-person investment events.

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SS

Mid-level Data Scientist specializing in Generative AI and LLMOps

Dover, USA4y exp
Visual TechnologiesUniversity of Houston

Built a production-grade, semi-automated document recognition and classification system for large volumes of scanned PDFs, starting from little/no labeled data and handling highly variable scan quality. Deployed on AWS using SageMaker + Docker and orchestrated on EKS with a microservices design that scales CPU-heavy OCR separately from GPU inference, with strong reliability controls (validation, fallbacks, retries, readiness probes).

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DB

Diana Bacero

Screened

Executive Customer Success & Operations leader specializing in B2B SaaS (CPM/FP&A)

Arcadia, CA18y exp
DripJobsITT Technical Institute

Customer lifecycle/CRM practitioner with experience at DripJobs and Solver, focused on onboarding, retention, and customer education. Drove a 51% churn reduction in 90 days by overhauling onboarding with pre-training automation (Close CRM) and CS playbooks, and boosted training sign-ups 37% by shifting existing-customer marketing into CS using Totango and industry-tailored messaging.

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MF

marina flores

Screened

Mid-level Marketing Manager specializing in digital advertising, PR, and content strategy

8y exp
CeragemCal State Channel Islands

Lifecycle/digital marketer with experience leading a new product launch using multi-touch email drip campaigns and digital ads to drive both website engagement and in-store foot traffic, reporting improved ROI. Uses past-buyer and survey-driven segmentation plus A/B testing (creative/copy) and web engagement metrics to optimize performance, and has supported cross-functional event marketing with merchandising and sales enablement materials.

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WT

William Takpa

Screened

Mid-level Product Manager specializing in digital products and growth

Jos, NG4y exp
Aboki NaUniversity of Jos

Built and marketed a live free-to-play web word game (Techies WordFinder) from scratch using the Lovable AI platform, reaching 100+ users in under a month. Iterated quickly based on player feedback, reporting a 28% UX improvement and +32 seconds average time per user, and demonstrates practical live-ops and F2P analytics/A-B testing knowledge.

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