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Vetted A/B Testing Professionals
Pre-screened and vetted.
SUJAY Kanakamedala
Mid-level AI Developer & Machine Learning Engineer specializing in LLM and MLOps systems
“Built and deployed an enterprise RAG application at Centene to help clinical teams retrieve insights from large internal policy document sets, cutting manual research by 30–40%. Implemented custom domain-adapted embeddings (SageMaker + BERT transfer learning) and hybrid retrieval (BM25 + Pinecone) to drive a 22% relevance lift, and ran the system in production on AWS EKS with CI/CD, MLflow, and Prometheus monitoring (99% uptime, ~40% latency reduction).”
Yash Namdeo Nikhare
Mid-level Machine Learning Engineer specializing in data security and GenAI systems
“Built Hexagon’s production Text-to-CAD Copilot that converts text and rough sketches into editable CAD code, combining GraphRAG (Neo4j/LangChain) with a Gemini-powered vision module and multi-agent geometric validation—cutting manual modeling from a day to ~45 seconds and driving retrieval latency below 50ms. Also has large-scale GCP data/ML orchestration experience (Airflow/Cloud Composer, Dataflow, Pub/Sub, Snowflake) processing 50M+ daily records with drift monitoring and automated reliability controls.”
Bindiya Kour
Director of Customer Success Operations & Marketing Ops specializing in AI automation and ABM
“Enterprise B2B SaaS customer success/marketing-focused leader with ~10 years in martech and analytics (Salesforce, GA, HubSpot, Gainsight, SEMrush, WordPress). Drives renewals and land-and-expand growth by combining data-driven campaign optimization (webinars, gated content, SEO/UTM tracking) with strong cross-functional and stakeholder management; reports 95% renewals with upsells and examples of scaling accounts from bronze to platinum.”
PRAHARSHA JANDHYALA
Mid-level Data Scientist/Data Analyst specializing in ML, BI dashboards, and ETL pipelines
“Data/ML practitioner with experience at Humana and Hexaware, focused on turning messy, semi-structured datasets into production-ready pipelines. Built an age-prediction model from book ratings using heavy feature engineering and multiple regression models, and has hands-on entity resolution (deterministic + fuzzy matching) plus embeddings/vector DB approaches for linking and search relevance.”
Yuyin Sun
Mid-level Product Designer specializing in AI agent UX and B2B SaaS platforms
“Product designer at Felixphere working on a pivot from a SaaS marketplace to a SaaS management platform, designing end-to-end SaaS integrations and an AI concierge/agent experience. Drove a strategic shift from complex custom connectors to standardized connectors through user research and prototyping, aligning executives and reducing development effort; also shipped user-informed features like a contract/payment calendar to reduce operational friction for customers.”
Usamah Paul
Mid-level Product Launch Administrator specializing in global e-commerce sports releases
“Web product lifecycle professional with hands-on experience taking licensed sports merchandise from start-to-finish and publishing it live on a website. Tracks operational throughput and content/catalog health via daily/weekly metrics (products processed, image sourcing/uploading, catalog updates) and applies structured planning for event timelines.”
Cory Watson
Senior Performance Marketing Analyst specializing in paid search and marketing analytics
“Growth marketing creative lead with experience at Starz and 3.5 years at mute6, spanning subscription acquisition and Shopify-based DTC/eCommerce. Drives Meta/TikTok/YouTube performance by pairing end-to-end creative production and UGC direction with data-led iteration (CTR/CPA/ROAS), including fatigue diagnosis and rapid refreshes.”
“Marketing creative/design lead with a finance background who blends high-polish craft with scalable systems and automation. Led typography/visual narrative for an AI-developed short film using Firefly/Midjourney that won Gold at the NY Festivals AI Short Film Contest, and owned visual standards plus Flexitive-driven high-volume production workflows for Sherwin-Williams across digital/social/print.”
Shivani Bhosle
Junior UX/UI and Visual Designer specializing in research-led B2B product design
“UX/Product designer with end-to-end experience on AI-driven products, including EduWave AI (learning platform for kids, parents, and teachers) and FlairX/Flarex AI (interview automation and AI scoring/benchmark reporting). Known for translating complex backend logic into clear, story-driven dashboards and validating designs through rapid prototyping and direct user observation; targeting founding design engineer roles in San Francisco.”
Bhavishyasai Chigurupati
Mid-Level Data/ML Engineer specializing in Generative AI and cloud data platforms
“Built and productionized an LLM-based financial document analysis system using a RAG pipeline, including robust ingestion/chunking/embedding workflows, vector DB retrieval, and an AWS-deployed FastAPI service containerized with Docker. Demonstrates strong applied expertise in improving retrieval quality and latency at scale, plus hands-on experience debugging agentic/LLM workflows with monitoring and trace-based analysis while supporting demos and customer-facing adoption.”
Jarin Tasnim
Staff/Lead Software Engineer specializing in distributed data and ML platforms
“Defense-domain AI engineer who built a production ReAct-style RAG system for military training data/material generation, scaling to ~1000 users and cutting generation time by 50%. Also has experience designing GPU-cluster parallel computation with PyTorch and handling production incidents involving database performance and schema design.”
Caleb Heo
Senior Finance & Investment Analyst specializing in TMT, valuation, and quantitative strategy
“VC deal-sourcing professional with Sutton Capital experience who combines quantitative tooling, alternative data, and thesis-driven founder outreach to surface under-the-radar startups early. Distinctive for building Python-based sourcing and tracking engines, converting cold outreach into qualified deal flow, and pairing relationship-building with rigorous unit economics analysis for partner-level investment decisions.”
SaiSindhu Beeravolu
Mid AI/ML Engineer specializing in LLMs, RAG, and healthcare AI
“Healthcare ML/AI engineer with production experience at UnitedHealth Group, including an end-to-end readmission prediction system built on 50M+ patient records that improved accuracy by 18% and reduced preventable readmissions by 12%. Also shipped a clinically grounded LLM/RAG referral generator with human-in-the-loop safety controls, showing strong depth in regulated, high-stakes AI systems.”
“Built and owned a production RAG-based conversational AI system at Entera for real estate analysis, taking it from experimentation through AWS deployment, monitoring, and iterative improvement. Demonstrates strong practical judgment in retrieval design, LLM safety, and scalable Python service architecture, with measurable impact including 30-40% reduction in manual analysis time and roughly 30% better response accuracy.”
Aarit Shah
Junior B2B Sales and Growth Associate specializing in SaaS and consumer brands
“Early B2B growth hire at Snackible who helped build the outbound motion from scratch as the company entered the B2B space. Demonstrated strong consultative outbound skills across calls, email, and LinkedIn, and closed 18 corporate accounts in 6 months by tightly qualifying prospects and creatively using product samples to open doors with decision-makers.”
Tarun Abhaye Thiagarajan
Mid-level Solutions Architect specializing in Enterprise AI and SaaS
“Enterprise implementation/deployment specialist focused on HRMS and payroll systems across APAC customers, combining cloud/hybrid (AWS/Azure/GCP) integration work with strong client-facing delivery. Demonstrated ability to debug complex production issues across application, database, and network layers (e.g., isolating VPN/router congestion) and to tailor Python-based data cleaning/scoring/utilities to customer-specific workflows.”
SUMANTH Metimath
Mid-level Data Scientist specializing in ML, LLMs, and AI systems
“Candidate takes a pragmatic approach to AI-driven development, using AI as a productivity and learning aid while emphasizing personal understanding and code validation. They have hands-on experience applying AI-assisted workflows to a resume analysis and ATS scoring project, including code generation, debugging, parsing logic improvement, and testing.”
Rodrigo Corona García
Senior CRM and digital marketing manager specializing in brand growth and customer lifecycle
“CRM and lifecycle marketing professional with broad hands-on experience across Salesforce, HubSpot, Microsoft Dynamics, and other platforms, focused on retention, reactivation, and CLV growth. Stands out for building customer recovery programs from scratch, improving campaign performance through granular segmentation and A/B testing, and coordinating multiple internal teams plus an agency in complex multichannel CRM environments.”
Bhanu Akepogu
Mid Software Engineer specializing in backend, full-stack, and AI systems
“Full-stack engineer with 3+ years of backend and frontend experience who has built production AI products for enterprise document and policy workflows. Stands out for owning end-to-end systems that combine React, FastAPI, RAG, vector search, and AWS deployment, with measurable impact including 65% less manual review time and significantly faster knowledge-query resolution.”
Jeyasooriya Saravanan
Mid-level Full-Stack Software Engineer specializing in AI and cloud applications
Johnathan Martin
Senior Marketing & Data Analytics Professional specializing in customer retention and performance marketing
“CRM/lifecycle marketer with healthcare/practice-operations domain fluency who built highly targeted campaigns for a premium insurance-claims product, using customer data signals to find best-fit accounts and generating roughly $800K in incremental revenue. Experienced as a central hub coordinating sales, product, legal, design, pricing/billing, and leadership to deliver consistent messaging without overwhelming customers.”
James Thorburn
Senior Marketing Operations Strategist specializing in growth, automation, and analytics
“Growth/creative marketer with experience running end-to-end campaigns for a nonprofit (holiday giving via email) and optimizing app acquisition creative across major platforms (Meta/TikTok/YouTube). Emphasizes structured experimentation, dashboard-driven iteration, and building scalable processes (templates) while training creative teams on performance-oriented ad best practices.”
Nicole Gonzay
Senior marketing operations professional specializing in e-commerce campaign execution
“Lifecycle and CRM operations professional who grew from hands-on Shopify e-commerce management into owning cross-channel campaign QA, deployment, and process building at Fashion Nova. Brings high-volume execution experience across email, app push, web push, and on-site messaging, including support for major promotional periods like Black Friday/Cyber Monday and retention programs such as abandoned cart recovery.”
chetan sharma
Senior Product Manager specializing in AI-driven SaaS and product-led growth
“Product-focused candidate with live B2C/product-led growth experience who translates free-to-play game mechanics (onboarding as a core loop, progressive unlocking, nudges, variable rewards) into real-world web/mobile products. Strong in live experimentation, KPI-driven iteration, and monetization/retention measurement (DAU/MAU, funnels, LTV-focused A/B testing).”