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Vetted A/B Testing Professionals
Pre-screened and vetted.
shubham patil
Mid-level AI Engineer specializing in Generative AI, RAG systems, and fraud analytics
“Built and deployed a RAG-based student/faculty support chatbot at a university that answers from official syllabus/policy documents and now supports 4,000+ students while reducing repetitive support requests. Hands-on with LangChain, LangGraph, and CrewAI to orchestrate reliable agentic workflows, with a strong focus on testing/monitoring in production and cross-functional delivery (e.g., marketing analytics automation at Steve Madden).”
Mounika Yalamanchili
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
“Built and deployed a production RAG system for financial/compliance teams using GPT-4, Claude, and local models to retrieve and summarize thousands of internal documents with strong security controls (role-based retrieval, PII masking). Drove significant operational gains (30+ hours/week saved, ~35% productivity lift, ~45% faster responses) and orchestrated end-to-end ingestion/embedding/index refresh pipelines with Airflow, S3, and SageMaker while partnering closely with compliance stakeholders on auditability and traceability.”
“ML/LLM engineer with production experience building a RAG-based LLM support assistant (FastAPI, Redis, Kafka) with multi-layer validation and human-in-the-loop feedback loops to improve accuracy over time. Has orchestration and MLOps depth using Airflow and Kubeflow on Kubernetes (autoscaling, alerting, monitoring) and delivered measurable ops impact (40% ticket efficiency improvement) by partnering closely with customer support teams.”
Shanmukha Jwalith Kristam
Mid-level Data Scientist / ML Engineer specializing in MLOps and Generative AI
“Built and deployed an AI agent to help patients navigate complex housing information by scraping and normalizing unstructured data across all 50 U.S. states, then layering a LangChain RAG system with MMR re-ranking to reduce hallucinations. Experienced in orchestrating multi-agent workflows (LangGraph/CrewAI) and production reliability practices (Pydantic-validated outputs, LLM-as-judge evals, tracing). Also delivered stakeholder-facing explainability via SHAP dashboards for a loan-approval predictive model at Welspot.”
Divya Ganapala
Mid-level Data Scientist specializing in cloud ML, MLOps, and predictive analytics
“NLP/ML engineer with hands-on healthcare and support-ticket text experience, building clinical-note structuring and semantic linking systems using spaCy, BERT clinical embeddings, and FAISS. Emphasizes production-grade delivery (Airflow/Databricks, PySpark, Docker, AWS/FastAPI/Lambda) and rigorous validation via clinician-labeled datasets, retrieval metrics, and user feedback.”
“ML engineer/data scientist who deployed a production credit risk + insurance claims triage platform at Hartford Financial, combining XGBoost default prediction with BERT-based document classification. Demonstrated strong MLOps by cutting inference latency to sub-500ms and building drift monitoring plus automated retraining/deployment pipelines (MLflow, CloudWatch, GitHub Actions, SageMaker) with human-in-the-loop review and SHAP-based explainability for underwriting adoption.”
Yashi Agarwal
Mid-level Machine Learning Engineer specializing in NLP, Generative AI, and RAG systems
“Built and deployed a production LLM-powered phone assistant for a healthcare clinic, combining streaming STT/TTS with RAG over approved clinic documents and strict safety guardrails to prevent unverified medical advice, plus seamless human handoff. Also has hands-on Apache Airflow experience building robust daily ML/data pipelines with data validation, retries/timeouts, monitoring, and metric-gated model deployment, and iterates closely with clinic staff using real call reviews.”
SREEJA REDDY Konda
Mid-level AI/ML Engineer specializing in NLP, MLOps, and predictive analytics
“AI/ML Engineer at Fifth Third Bank who has shipped production fraud detection and risk analysis systems combining ML models with LLM-powered insights/explanations, including real-time monitoring, drift detection, and automated retraining under regulatory explainability constraints. Also built a hybrid-retrieval internal knowledge-base QA system (+20% top-5 relevance) and delivered a customer support chatbot that reduced first response time by 30% through strong stakeholder collaboration.”
sai Pavan
Mid-level AI/ML Engineer specializing in MLOps, NLP, and real-time ML pipelines
“Built a production, real-time insurance claims document-understanding and fraud-detection pipeline using TensorFlow + fine-tuned BERT, deployed on AWS (SageMaker/Lambda/API Gateway) with automated retraining via MLflow and Jenkins. Addressed noisy documents and latency using augmentation and model distillation (3x faster), cutting claims ops manual review by ~50% and reducing fraudulent payouts.”
Teja Babu Mandaloju
Mid-level Data Scientist/MLOps Engineer specializing in NLP, GenAI, and cloud ML platforms
“AI/ML engineer who led production deployment of a multimodal (text/video/image) RAG system on GCP using Gemini 2.5 + Vertex AI Vector Search, scaling to 10M+ documents with sub-second latency and +40% retrieval accuracy. Strong MLOps/orchestration background (Kubernetes, CI/CD, Airflow, MLflow) with proven impact on reliability (75% fewer incidents) and deployment speed (92% faster), plus experience delivering explainable ML (XGBoost + SHAP + Tableau) to non-technical retail stakeholders.”
Lana Mouton
Director-level Digital Marketing & Google Ads Specialist in performance paid media
“Performance marketer who owned a $7M/month Google Ads program for a major U.S. insurance brand, combining full-funnel strategy (Search, YouTube, Performance Max) with offline/value-based conversion tracking built alongside data engineering. Delivered major efficiency and growth gains (~25% lower CPA, 200%+ ROAS lift, ~45% more leads) while improving qualified lead rates to ~45–50% through statistically grounded testing and lead-quality optimization.”
Brittny Belnavis
Mid-level Digital Marketing Specialist specializing in lifecycle email and paid search
“Lifecycle and growth marketer with partnership experience at Kobo Rakuten, including co-marketing promotions with ebook/anime authors measured via CTR and conversions. Has led GTM user-acquisition initiatives across paid media partnerships and lifecycle marketing, using CAC/LTV/retention to optimize campaigns and referral incentive loops, and leverages a personal network to accelerate pilots and reduce sales-cycle time.”
Rajeshwar Peri
Mid-level Data Analyst specializing in healthcare and financial analytics
“Healthcare analytics candidate with hands-on experience turning messy claims and CRM data into validated reporting tables, automating monthly reporting in Python/Airflow, and operationalizing churn metrics in SQL and Tableau. They appear especially strong in stakeholder-aligned metric design and delivered a reported ~10% churn reduction through cohort analysis, segmentation, and at-risk member targeting.”
Muhammad usama Subhani
Mid-level Performance Marketing Manager specializing in digital advertising
“Performance marketer with hands-on experience managing $50K+/month media budgets, including Universal Studios campaigns on DV360 and The Trade Desk. They bring broad cross-channel expertise across programmatic, search, social, and DSP platforms, with a practical testing mindset focused on ROAS, CTR, and conversion efficiency.”
Anvith Reddy T
Mid-level AI/ML Engineer specializing in Generative AI and MLOps
“ML/AI engineer with hands-on ownership of fraud detection and investigator-assist systems, combining anomaly detection with RAG-based LLM summarization in production. Stands out for translating research ideas into reliable cloud-deployed workflows that improved precision to 92%, cut review time by 25-30%, and increased investigator throughput by roughly 30% while also building reusable Python infrastructure for team-wide velocity.”
Alex Miro
Mid-level Business Development Representative specializing in enterprise SaaS sales
“Outbound sales candidate focused on data solutions, with a disciplined high-volume prospecting motion and strong emphasis on senior decision-maker outreach. They partner closely with AEs on account selection, use Sales Navigator and multi-channel cadences, and describe improving meeting quality, pipeline, and closed-won results by targeting VP/C-level stakeholders and iterating messaging through A/B testing.”
Sakshi Patel
Mid-level Software Engineer specializing in e-commerce and supply chain platforms
“AI-focused developer who has built several practical AI products, including EchoMate, a voice-agent system designed to act as a proxy for doctors and support patients when physicians are unavailable. Also has experience with multi-agent/API-based workflows in a solar suitability project, showing interest in applying AI across both healthcare and climate-related use cases.”
George Platon
Principal Full-Stack Engineer specializing in AI, DevOps, and cloud platforms
“Built a production end-to-end AI video-to-reels clip extraction system using a multi-agent architecture with transcription, captioning, effects generation, and centralized orchestration. Demonstrates unusually strong systems thinking around reliability, observability, evaluation, and production tradeoffs for LLM-powered workflows, including Kubernetes/Kafka-based deployment and regression-driven prompt governance.”
Joshua Curry
Senior Full-Stack Engineer specializing in web, mobile, and accessible frontend systems
“Full-stack developer who has built and shipped both traditional web products and AI-powered applications, including a Spotify playlist-combining app, a recruiter-facing RAG chatbot embedded in a portfolio, and a fine-tuned GPT-2 art review generator. Stands out for combining privacy-conscious engineering, practical LLM guardrails, and scrappy production problem-solving—from queue-based inference systems to newsroom digital transformation with multi-tenant WordPress.”
Brad Anderson
Executive product leader specializing in FinTech, SaaS, and digital transformation
“Product leader with experience spanning telecom, fintech mortgage, and hospitality, including a major AT&T rebuild of a fragmented digital sales flow and AI-enabled lending/onboarding products. Brings a strong mix of legacy modernization, cross-functional alignment, UX iteration, and human-centered thinking about AI as an amplifier rather than a replacement.”
Mainak Pandit
Senior Frontend Engineer specializing in React, TypeScript, and product-focused SaaS
“Frontend-leaning product engineer who operated as an end-to-end owner at Cone, a 5-person startup, building the proposal creation and signing platform that became the company’s primary revenue driver. Stands out for combining product judgment with architecture and backend execution, including a self-built Node.js PDF service that cut generation time by ~60% and meaningfully reduced developer overhead.”
Lenny Lin
Junior Full-Stack Engineer specializing in AI and distributed systems
“Built and owned a hackathon project (Gritto) with a Python/FastAPI backend that routes user text through a sequence of Gemini agents to produce structured JSON outputs. Has hands-on production deployment experience using Docker/Docker Compose, GitHub Actions CI/CD, AWS App Runner, MongoDB, and secrets management (Doppler + migration to AWS Secrets Manager), plus implemented a chat-like experience via multiple HTTP requests when SSE wasn’t viable.”
Meet Doshi
Mid-level Data Engineer specializing in cloud data platforms and AI/ML analytics
“Backend/data engineer in healthcare who built an AWS-based clinical analytics platform from scratch (DynamoDB/S3/Airflow/dbt) with sub-second clinician query goals, 99.9% uptime, and HIPAA-grade controls (KMS encryption, IAM RBAC, audit trails). Also modernized ML delivery by replacing a manual 4-hour deployment with a 30-minute Docker/GitHub Actions CI/CD pipeline using parallel runs, parity testing, and rollback, and caught critical EHR data edge cases (date formats/timezones) that could have impacted patient care.”
Raisa McDonald
Senior Digital Marketing Manager specializing in paid media and lead generation
“Performance marketer focused on hospitality (hotel + F&B) who owned multi-platform paid media (Google/Meta/Bing) to drive direct bookings and restaurant event leads. Delivered a major ROAS lift on Google Ads (~2:1 to ~25:1) and rapidly grew retargeting audiences (<1K to 10K in 60 days), while navigating creative fatigue and competitive keyword constraints with disciplined testing and auction-insights-driven decisions.”