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Vetted A/B Testing Professionals
Pre-screened and vetted.
Prachika Agarwal
Senior Solutions Architect and Data Analyst specializing in cloud data platforms and experimentation
“Software engineer who built and scaled an internal automation/auditing tool for analyzing Google and Adobe tagging containers, adopted by 13 internal clients and saving ~15 hours per audit. Has experience shipping containerized, Kubernetes-orchestrated systems and integrating OpenAI APIs into an agentic chatbot feature (plus prior NLP chatbot work during a Cyber Peace Foundation internship).”
Wingho Lam
Mid-level Growth Marketer specializing in performance marketing and lifecycle funnels
“Lifecycle/CRM marketer who built automated post-visit, re-engagement, and abandoned-cart programs with behavioral segmentation and UTM-based attribution. Delivered strong measurable impact in 90 days: +42% repeat visits, membership conversion from 3% to 15%, 1,500 five-star reviews, and growth to $100k MRR, while also aligning ops/front-desk messaging for a consistent customer journey.”
Uday kumar swamy
Senior Machine Learning Engineer specializing in MLOps and NLP/GenAI
“Built a production LLM-agent framework for a startup that performs daily financial/trading analysis by combining live market data with internal tools, including a centralized memory module to prevent context drift and reduce hallucinations. Also implemented an Airflow-orchestrated retail price forecasting pipeline deployed to AWS endpoints, scaling parallel workloads via Kubernetes Executor and validating systems with rigorous functional + LLM-specific metrics and cross-team collaboration.”
Kurt Balingit
Senior Digital Marketing Specialist specializing in demand generation and SEO/SEM
“Performance marketer with hands-on ownership of high-spend acquisition programs, including managing ~50K/month at Backblaze across Google Ads and paid social while optimizing for trial-to-paid conversion. Built Protective's employee benefits paid media from scratch into a full-funnel LinkedIn + Google program, scaling spend ~300% YoY and improving lead quality through tighter targeting and keyword refinement.”
Rasika Deodhar
Mid-level Full-Stack Software Engineer specializing in Generative AI
“Full-stack engineer who shipped an end-to-end speech capability for an LLM chatbot UI, integrating OpenAI APIs and publishing via Google Apigee with client documentation. Has experience operating deployments with Jenkins/Kubernetes/Docker and monitoring with Datadog, and has worked in an innovation-center environment building rapid prototypes under ambiguity with tight stakeholder feedback loops.”
Gina Mayberry
Senior Digital Marketing & Paid Media Specialist specializing in PPC and growth marketing
“Performance marketer focused on B2B SaaS pipeline quality, managing a $90K/month spend across Google, LinkedIn, Meta (and TikTok in other accounts). Uses rigorous hypothesis-led testing with offline conversion/SQL-based optimization to scale efficiently—delivering +21% SQL growth at flat CPL and recovering stalled performance with a +25% SQL lift in 6 weeks.”
“GenAI/ML engineer from Deloitte who built and shipped a production RAG-based internal search assistant for support teams, delivering quantified operational gains (20% effort reduction, 35% faster manual lookup). Experienced in enterprise-grade LLM reliability (grounding/hallucination control), compliance/security constraints, and rapid release cycles using CI/CD, MLflow, and orchestration tools (Airflow, Databricks Jobs, LangChain).”
MOUNIKA SAI MEKALA
Junior Data Analyst specializing in financial and operational analytics
“Analytics professional with experience at KPMG turning messy operational and financial data from SQL Server and AWS S3 into clean reporting datasets and automated Python workflows. They combine SQL, Python, Power BI, and experimentation methods to deliver stakeholder-aligned KPI dashboards and marketing performance insights with a strong focus on data integrity and reproducibility.”
Sowjanya Ande
Mid-level Business Analyst specializing in finance, insurance, and data analytics
“Business/data analyst with experience at KPMG and Liberty Mutual, focused on financial reporting, data quality, and analytics automation. Has built SQL and Python workflows for large transaction datasets, reduced manual reporting effort by 15+ hours per week, and translated ambiguous business questions into standardized KPIs and Power BI dashboards used for decision-making.”
Austin Patten
Senior Unity Engineer specializing in mobile games and interactive apps
“Lead engineer at PeopleFun who owned a data-driven limited-time event system for Wordscapes Search, using Addressables and asset bundles to ship new live content without app updates. Their work was tied to improved retention and stronger player engagement, and they also bring pragmatic AI-assisted development practices plus early VR/Meta Quest prototyping experience.”
SAITEJA MALLEMPUDI
Senior Data Scientist and AI/ML Engineer specializing in GenAI and cloud ML
“ML/AI engineer with hands-on experience owning systems from experimentation through deployment and monitoring, including a Bank of Montreal project that improved timely interventions by 12%. Also brings GenAI/RAG experience with evaluation and safety guardrails, plus clinical NLP pipeline work extracting medication data from notes for patient risk prediction.”
Rekha Talla
Mid-level Full-Stack Software Engineer specializing in AI and document automation
“Backend/AI infrastructure engineer focused on production-ready LLM systems and distributed workflows. They described building a RAG-based multi-step agent with strong reliability controls, evaluation loops, and graceful degradation that improved latency by 30%, retrieval accuracy by 15%, and reduced support workload by 40%.”
Akhila Kannegari
Mid-level AI/ML Engineer specializing in FinTech and retail ML systems
“ML-focused candidate with strong Wells Fargo experience building production fraud systems and internal GenAI tools for fraud analysts. Stands out for measurable impact in fraud detection—raising recall from 71% to 88%—while also demonstrating hands-on depth across streaming infrastructure, MLOps, LLM/RAG implementation, and Python service architecture.”
“Backend engineer focused on productionizing LLM systems: built a FastAPI-based RAG and multi-agent automation platform deployed with Docker/Kubernetes, prioritizing safe execution and reduced hallucinations. Experienced in refactoring monolithic ML services with feature-flagged incremental rollouts, and implementing JWT/RBAC plus row-level security (e.g., Supabase) for secure, scalable APIs.”
Joseph Selby
Senior Product Leader specializing in EdTech and digital assessment
“Edtech product leader with deep experience across Pearson, SMART, and Promethean, spanning legacy platform modernization, classroom engagement tools, and early AI in education. Particularly compelling for roles at the intersection of product, pedagogy, and human-centered AI: they rebuilt SMART's 29-year-old Notebook platform and have repeatedly designed products around real teacher and student needs.”
Zach Dosen
Executive product leader specializing in healthcare IT, AI, and enterprise SaaS
“Product leader with deep healthcare AI experience who has launched high-impact products at hc1 and now navigates complex franchise stakeholder environments at ABM. Stands out for pairing rigorous prioritization and human-centered AI design with measurable business results, including a 20% staffing cost reduction and a 62% reduction in lab test-matching labor.”
Matthew Marriotti
Director-level Product and UX leader specializing in retail e-commerce experiences
“Long-tenured American Eagle product/design leader with 12.5 years driving digital experience transformation, including a zero-to-one mobile app initiative that grew from less than 5% to more than 50% of digital revenue. Brings a rare blend of UX research depth, product strategy, cross-functional execution, and practical AI-enabled design thinking.”
Edward Orsi
Senior Digital Marketer specializing in B2B SaaS demand generation and performance marketing
“Growth-creative marketer with experience optimizing evergreen campaigns (including Laserfiche document management) by testing landing page/offer strategy—e.g., routing search traffic to a buyer’s guide ebook—and reporting sustained 4:1 ROAS. Emphasizes disciplined A/B testing (isolating single variables like CTAs) across Meta/TikTok/YouTube and applies funnel-stage CTA learnings to improve performance.”
Ramesh Jasti
Mid-level AI/ML & MLOps Engineer specializing in cloud AI infrastructure and GenAI
“At HPE, led and deployed an enterprise-grade LLM document intelligence platform for an insurance client, automating extraction from highly variable PDFs/scans/emails and raising field accuracy from 74% to 93%. Built a LangChain/Pinecone/OpenSearch RAG framework to cut hallucinations by 37% and operationalized LangSmith evals in CI, driving a 41% triage accuracy lift and >33% fewer incorrect resolutions while partnering closely with claims operations via HITL workflows.”
Anuj Shah
Senior Data Analyst specializing in cloud data platforms, experimentation, and predictive analytics
“Healthcare data/ML practitioner with experience at UnitedHealth Group building production ETL and streaming pipelines (Python, BigQuery, Kafka) that unify EHR, IoT device, and lab data for patient risk prediction. Also implemented embedding-based semantic search/linking for noisy clinical notes via domain adaptation and rigorous validation with clinical stakeholders; previously built churn prediction at DirecTV using XGBoost.”
Vasu Lakhani
Mid-Level Software Engineer specializing in AI-enabled backend and full-stack web systems
“Backend/AI workflow engineer with experience at AirKitchenz, Uber, and Vivma Software, building production systems on AWS (Lambda, DynamoDB, Step Functions). Has a track record of major performance wins (DynamoDB latency 2s to <150ms; Postgres query 2s to ~180ms) and shipping LLM-powered onboarding and ticket-routing workflows with strong guardrails (schema validation, confidence thresholds, human-in-the-loop escalation).”
Varsha Hemakumar
Mid-level ML/AI Engineer specializing in NLP, RAG pipelines, and financial risk & fraud systems
“Built and shipped LLM/RAG systems in finance and startup settings, including a Goldman Sachs document intelligence platform that indexed ~8TB of regulatory filings and delivered cited, conversational answers with <2s latency—cutting compliance research by ~4.5 hours per batch. Also developed LangChain-based agent workflows at Finta to automate CRM enrichment and investor lookup with strong testing, tracing (LangSmith), privacy guardrails, and auditability.”
Priyanuj Bordoloi
Junior Data Scientist / ML Engineer specializing in LLMs and Computer Vision
“Currently working in CoRAL Lab, built and deployed IntegrityShield—a document-layer PDF watermarking system that keeps assessments visually identical while disrupting LLM-based solving; validated in a real classroom where it helped catch 12 AI-cheating cases. Also built MALDOC, a modular red-teaming platform for document-processing AI agents using LangGraph to run reproducible, deterministic adversarial trials across OCR/text/vision routes.”
Ansh Krishna
Intern Data Scientist specializing in ML systems and LLM-powered analytics
“Built an autonomous decision analytics LLM agent for end-to-end tabular binary classification, using RAG (FAISS) to retain context across multi-step queries. Deployed as a FastAPI service with production-style reliability features (schema-aware validation, fallbacks, retries, structured outputs) plus offline/online evaluation and monitoring to reduce analysis time and improve consistency versus stateless approaches.”