.png){kind=logo}
Vetted A/B Testing Professionals
Pre-screened and vetted.
Jose Moreno
Senior Growth Marketer specializing in paid acquisition and performance creative testing
“Growth creative lead with hands-on experience running end-to-end paid creative tests for major music/entertainment campaigns at UMG, including a vinyl sale push that cut CPA by 20%+ in a tight promo window. Known for a modular ad-building approach (hooks/value prop/proof/CTA) and platform-native optimization across Meta, TikTok, and YouTube, plus strong label/creative-team alignment and QA discipline (including tracking).”
Anurag Reddy
Mid-level Data Scientist specializing in ML, MLOps, and Generative AI
“ML/NLP engineer who built a RAG-based technical assistant for Caterpillar field engineers, transforming PDF keyword search into intent-based semantic retrieval across manuals, logs, sensor reports, and technician notes. Strong in productionizing data/ML systems (Airflow, PySpark) with rigorous preprocessing, entity resolution, and evaluation—delivering measurable gains in accuracy, relevance, and duplicate reduction.”
Kavya Paluvai
Mid-level Data Scientist specializing in fraud detection and healthcare ML
“Applied NLP/ML in healthcare and financial services, including fine-tuning BERT on unstructured EHR text and building embedding-based similarity search for clinical concepts. Also redesigned a Wells Fargo fraud detection data pipeline using modular Python + AWS Glue/Step Functions, cutting runtime ~40% with improved monitoring and reliability.”
Aelina Das
Senior Software Engineer specializing in risk systems and event-driven data pipelines
“Backend engineer with recent Barclays experience building a Python asyncio + Kafka risk reporting service for trading desks, including a major refactor from blocking batch processing to event-driven incremental pipelines to restore intraday/EOD performance. Also shipped an applied AI feature using OpenAI fine-tuning to classify risk-breach severity and generate trader/risk-manager summaries with robust retry/fallback handling, plus demonstrated strong database/query optimization (triggers, materialized views, partial indexes) in a risk-limits/breaches domain.”
Ananya Bojja
Mid-level AI/ML Engineer specializing in healthcare analytics and MLOps
“AI/ML engineer at Cigna Healthcare building a production, HIPAA-compliant LLM-powered clinical insights platform that summarizes unstructured medical notes using a fine-tuned transformer + RAG on AWS. Demonstrates strong end-to-end MLOps and cloud optimization (distillation, Spot/Lambda/Auto Scaling) with quantified outcomes (~28% accuracy lift, ~40% less manual review, ~25% lower ops cost) and strong clinician-facing explainability via SHAP and dashboards.”
Camille Li
Junior Full-Stack Engineer and Product Manager specializing in mobile apps and ML analytics
“Cofounded a travel app and built a production place recommendation + review system end-to-end using Next.js App Router and TypeScript, including Postgres-backed APIs and post-launch monitoring. Uses structured logging with Sentry and Vercel Analytics to diagnose issues and validate performance improvements, and has some exposure to Temporal-based workflow orchestration with retries/idempotency.”
Arjun Masadi
Mid-level Full-Stack Developer specializing in cloud-native FinTech and Healthcare platforms
“Full-stack engineer (3+ years) who owned an AI-powered customer financial health dashboard end-to-end at Regions Bank, combining React/Java Spring Boot with LangChain + Pinecone for personalized insights. Strong production operations experience on AWS EKS with CI/CD and observability (OpenTelemetry/Prometheus/Grafana), delivering measurable outcomes including 22% support reduction and 99.9% uptime, plus robust third-party financial/clinical integrations.”
Ashank Dsouza
Mid-level Full-Stack Developer specializing in Node.js/React and cloud DevOps
“Software engineer with startup and capstone experience who improved an ~8-hour database refresh workflow by moving API calls to asynchronous execution and then addressing API rate limits via throttling. Emphasizes performance profiling/logging, strong developer onboarding documentation practices, and disciplined Agile/Jira bug triage and expectation-setting with stakeholders.”
Danilo Plazas
Senior Full-Stack Software Engineer specializing in Frontend (React/JavaScript)
“Frontend-focused engineer with full-stack experience who modernized a legacy HR platform (CoffeeScript/Marionette) by migrating key UIs to React/Redux and adding TypeScript for robustness. Built an internal client monitoring tool end-to-end with a microservices-oriented approach and strong testing practices (Jest/Selenium), and also led a major GraphQL v1→v2 migration delivered incrementally over ~6 weeks while optimizing Django/MySQL/DynamoDB performance.”
Cristian Vega
Senior AI/ML Engineer specializing in Generative AI and RAG
“ML/NLP practitioner at Morf Health focused on unifying fragmented healthcare data by linking structured patient/encounter records with unstructured clinical notes. Has hands-on experience with transformer embeddings, vector databases, and domain fine-tuning, plus rigorous evaluation (precision/recall) and human-in-the-loop validation with clinical SMEs to make pipelines production-grade.”
Nikitha Kommidi
Mid-level AI/ML Engineer specializing in fraud detection, NLP, and MLOps
“Built a production real-time fraud detection and customer-support automation platform at Citibank, tackling extreme class imbalance (reported ~1:5000) and strict latency constraints. Combines hands-on MLOps (Airflow, Kubernetes, MLflow; Snowflake/Spark/S3 integrations; CI/CD model promotion) with cross-functional delivery to Risk & Compliance focused on interpretability and reducing false positives.”
Kasireddy Kumar reddy
Mid-level AI/ML Engineer specializing in healthcare, fraud detection, and recommender systems
“Healthcare-focused applied ML/LLM engineer who has deployed production systems including an LLM medical documentation assistant that summarizes unstructured EHR notes into physician-ready structured outputs. Experienced building secure, compliant pipelines (PHI minimization, RBAC, encryption) and scaling via Docker/Kubernetes/Azure ML, plus orchestrating ETL/ML workflows with Airflow and Kubeflow; also built an LLM-driven clinical coding assistant at Centene with measurable performance metrics.”
Hsi-Chun Wang
Mid-level Data Scientist specializing in LLM development and scalable ML pipelines
“Built and deployed production LLM pipelines for evidence-based scoring in two domains: biomedical literature mining (scoring ~2700 drug compounds vs gene targets/mechanisms) and long-horizon news analytics (35 years of Chinese articles). Emphasizes reliability at scale (retries/checkpointing/validation), rigorous empirical model benchmarking (GPT-4o/mini/5), and translating results into stakeholder-friendly visual narratives.”
Sundarajan Swaminathan
Senior Product Marketing Leader specializing in GTM strategy and RevOps analytics
“Growth creative/performance marketer from BYJU'S (India) who runs disciplined creative experimentation across Meta, TikTok, and YouTube. Notably shifted messaging from feature-led to outcome/testimonial-led creative, delivering CPA down 27%, ROAS up 35%, and +11% trial-to-paid conversion, and has experience leading a small creative pod (editors + writer) with a rapid-iteration production system.”
Amanda Melendez
Mid-level Customer Success Manager specializing in SaaS onboarding, adoption, and retention
“Customer Success/implementation leader with enterprise experience at ADP managing payroll tax compliance for major brands (e.g., McDonalds, Staples, Williams Sonoma) and coordinating closely with product/compliance/engineering to reduce errors and escalations. Also led cross-functional operational rollouts at Starbucks, improving customer satisfaction by 27%, and currently at Together Groups influencing product roadmap via therapist/participant feedback to lift onboarding engagement by 40%.”
Akshay Danthi
Senior AI Engineer specializing in production GenAI systems
“AI engineer who has shipped production LLM systems end-to-end, including a natural-language-to-SQL analytics copilot for career advisors that achieved ~95% query success through schema grounding, access controls, and automated regression testing with golden queries. Also builds LangGraph-orchestrated multi-step agents (resume analysis, recommendations) and RAG pipelines (PDF ingestion + FAISS) and partners closely with non-technical users to drive adoption and trust.”
Fnu Pallavi Sharma
Intern Data Scientist specializing in ML, NLP, and MLOps for healthcare and enterprise AI
“Built a production multi-cloud LLM-driven IT ticket automation system using LangGraph, Azure + Pinecone RAG, and an Ollama-hosted LLM on AWS, with Terraform-managed infra and PostgreSQL audit/state tracking for reliability. Also partnered with UW School of Medicine & Public Health students to deliver a glioma survival risk-ranking model, translating clinical feedback into practical pipeline improvements (imputation, site harmonization) and stakeholder-friendly visualizations.”
shivapriya pillalamarri
Mid-level AI/ML Engineer specializing in financial analytics and production ML systems
“Analytics candidate with experience in financial transaction and fraud detection projects, combining SQL data preparation, Python-based automation, and dashboarding. They have owned projects from stakeholder alignment and metric definition through rollout, with emphasis on reducing false positives, improving operational efficiency, and making analytics outputs easy for business teams to adopt.”
steve olson
Director-level paid media and growth marketing leader in healthcare and political advertising
“Performance marketing leader with experience managing a national paid media program at MyEyeDr. averaging $2.2M/month across digital and offline channels for 950+ locations. Stands out for combining rigorous incrementality testing, media mix modeling, and creative experimentation to drive 81% booking growth over two years while lowering CAC by 26%.”
Hassan Abrar
Mid-level Analytics Professional specializing in marketing and business intelligence
“Analytics professional at TIAA with hands-on experience combining SQL, Python, and statistical modeling to unify complex marketing, product, finance, and customer datasets. Has worked on advisor-tool adoption analysis, 10-year wealth diagnostics, forecasting, cohort analysis, and escalation-risk modeling, with findings used by marketing and contact-center stakeholders.”
Sreenija Karnati
Mid-level Data Analyst and Data Engineer specializing in healthcare and financial analytics
“Analytics professional with healthcare and operations experience who turns messy enterprise data from platforms like Teradata, GCP, SQL Server, and Snowflake into trusted reporting layers and reproducible analysis workflows. They combine SQL, Python, PySpark, Power BI, and Tableau to improve reporting accuracy and performance, including a 30% dashboard refresh improvement and 20-25% accuracy gains in healthcare reporting.”
Likitha Reddy Kotla
Mid-level Business Analyst specializing in BI and analytics
“Analytics professional with Dell experience unifying global online sales, web analytics, SAP, and planning data across 20+ countries into scalable reporting pipelines and Power BI dashboards. Stands out for combining deep SQL/ETL work with Python automation, KPI design, and experimentation—delivering measurable outcomes like 80% less manual effort, a 2% conversion lift worth millions, and faster business decision-making.”
Pavan Punna
Mid-level AI/ML Engineer specializing in LLMs, MLOps, and healthcare-fintech AI
“Built and owned a production GPT-4 RAG assistant for clinical and enterprise query resolution, taking it from initial experiment to deployment, monitoring, and iterative improvement. Their work cut resolution time from 45 minutes to under 2 minutes, achieved roughly 95% accuracy, and scaled to thousands of additional monthly queries while emphasizing safety and trust in a sensitive clinical domain.”
ASHISH DONDAPATI
Mid-level AI/ML Engineer specializing in Generative AI for Financial Services
“ML/AI engineer with strong financial-services domain experience who has built production systems spanning trade anomaly detection, investment-research RAG, and agentic LLM workflows. Particularly compelling for teams needing someone who can take ML/GenAI from prototype to monitored production while balancing compliance, latency, cost, and reliability.”