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Vetted A/B Testing Professionals
Pre-screened and vetted.
Pranav Chand
Senior AI/ML Engineer specializing in Generative AI and LLM platforms
“Backend engineer focused on multi-tenant enterprise AI personalization and recommendation platforms, combining ML/LLM intent extraction with deterministic policy guardrails for compliance and auditability. Has hands-on AWS experience (ECS/Lambda/DynamoDB/S3) and led a careful DynamoDB single-table migration using dual write/read, canary + feature-flag rollouts, and strong observability/security (JWT/OAuth2, RBAC, Postgres RLS).”
Karen Scrivano
Senior Brand Strategy & Marketing Leader specializing in digital, AI prompting, and customer success
“Marketing/CRM-focused campaign lead with enterprise financial-services rebrand experience, spanning new website and copy creation through national social/digital promotion. Uses Google Analytics and ongoing reporting/QBRs to optimize to KPIs, drive ROI, and successfully retain and upsell clients while expanding reach into new demographics.”
Harshavardhan Reddy
Mid-level AI/ML Data Scientist specializing in NLP, computer vision, and risk analytics
“ML/AI engineer with Capital One experience building production-grade customer segmentation and fraud detection systems combining NLP (transformers) and anomaly detection. Strong MLOps and orchestration background (PySpark ETL, MLflow, Airflow, Docker/Kubernetes, Azure ML) with real-time monitoring/alerting and performance optimizations like quantization and caching, plus proven ability to deliver business-facing insights through Power BI/Tableau for marketing stakeholders.”
pavan kalyan padala
Mid-level Data Scientist specializing in predictive and generative AI
“AI/ML engineer with production LLM experience in regulated financial services (J.P. Morgan Chase), building a customer response engine to automate first-contact resolution while addressing privacy, bias, compliance, and scale. Strong MLOps/orchestration background (Airflow, Docker/Kubernetes, AWS Step Functions, Azure ML/SageMaker) plus proven ability to integrate with legacy systems and drive stakeholder adoption through dashboards, auditability, and training.”
Akshit Modi
Mid-level AI/ML Engineer specializing in healthcare NLP and MLOps
“Healthcare/clinical ML practitioner who built and productionized ClinicalBERT-based pipelines to extract and standardize oncology EHR data, improving downstream model F1 from 0.81 to 0.92 while controlling training cost via LoRA/QLoRA. Experienced orchestrating real-time AWS ETL/ML workflows (Glue, Lambda, SageMaker) and partnering with clinicians using SHAP-based interpretability, contributing to an 18% reduction in readmissions and full adoption.”
Aditya Jaiswal
Intern Software Engineer specializing in cloud, DevOps, and applied AI
“Full-stack engineer with startup ownership experience (Aiir) building 15+ TypeScript/Go microservice APIs on GCP Cloud Run with Kafka-based async event streaming and React CRM integrations for billing/analytics. Strong post-launch operator who tuned Oracle performance (partitioning/indexing/query optimization) and validated a 23% retrieval-time reduction via AWR, and has a quality/DevSecOps mindset (94% Pytest coverage, GitHub Actions, SonarQube, Twistlock, CloudWatch) including migrating 18+ production CI/CD pipelines.”
Ekta Rani
Mid-level Customer Success Manager specializing in enterprise SaaS and digital banking adoption
“Customer Success/CSM leader with Freshworks enterprise experience owning complex accounts end-to-end (onboarding, adoption, renewal, and expansion). Demonstrated impact through quantified outcomes (e.g., +20% resolution speed, +15% CSAT, +25% handling-time improvement) and strong cross-functional execution on high-stakes integrations (Freshdesk–Salesforce) plus product influence via PRDs/user stories (Shopify integration improvements).”
Samikshya Satpathy
Mid-level UI/UX & Product Designer specializing in e-commerce and enterprise SaaS
“Product/UX designer with large-scale consumer and omnichannel experience across Nykaa and Swiggy (100M+ users), combining deep research with high-polish UI and scalable design systems. Demonstrated measurable business impact across ops efficiency (1500 hrs/year saved), app quality (4.3→4.8 rating), and e-commerce conversion (48% uplift), and has owned a growth pod while collaborating closely with UA/growth and engineering.”
Junhui Huang
Intern Machine Learning Engineer specializing in LLMs, MLOps, and NLP
“Built and deployed a production LLM-driven Dungeons & Dragons game where the model acts as a dungeon master, adding a structured combat system and a macro-state tree to ensure campaigns converge to a clear ending. Fine-tuned Gemini 2.5 Flash on Vertex AI and deployed on GCP with Kubernetes, using RAG over DnD rules/spells plus multi-agent orchestration (intent-based routing between narrative and combat agents) to reduce hallucinations and improve reliability.”
Mohammad Husain
Mid-level Performance Marketing & User Research Specialist in E-commerce growth
“Growth and creator/affiliate partnerships operator with Temu experience scaling gamified in-app referral/retention loops (Fishland, Lucky Flip). Built relationships with top, sometimes “black-hat,” affiliates via Discord/Reddit, extracted and systematized winning tactics through A/B/multivariate testing, then scaled them through paid channels. Also brings a personal creator network from a student-founded business plus Instagram/TikTok pages totaling 1M+ followers to ramp campaigns quickly and drive strong ROAS.”
Vaibhav Sharma
Mid-level Software Engineer specializing in AI/ML and data platforms
“AI/ML engineer who built a production agentic system to automate computational research experiments (simulation execution, parameter exploration, and numerical analysis) and mitigated context-window failures using constrained tool-calling/prompt-chaining patterns in LangChain with OpenAI tool-enabled models. Also has adtech/big-data pipeline experience at InMobi, orchestrating Spark jobs in Airflow to filter bot-like user IDs and publish clean IDs to an online NoSQL store for live serving, plus Apache open-source collaboration experience.”
Binghan Zhang
Intern Data Analyst specializing in business intelligence and financial analytics
“Analytics candidate with hands-on experience in both fraud and churn use cases, including SQL-based preparation of 6.5M transaction records and reproducible Python modeling workflows. Stands out for combining technical rigor in data quality, feature engineering, and imbalance handling with strong stakeholder alignment, metric definition, and dashboard adoption.”
Abdullah Muhammad
Mid-level analytics professional specializing in AI, strategy, and business intelligence
“Analytics-focused candidate with hands-on experience using SQL and Python to clean messy business data, automate reporting, and build practical customer analytics solutions. Notable examples include a 70% reduction in reporting time through Python-based Excel automation at Shell and stakeholder-friendly retention/RFM segmentation work for small business clients in freight and winery contexts.”
Anapuru chetana
Mid-level Business Data Analyst specializing in healthcare analytics
“Analytics-focused candidate with strong SQL, Excel, Python, and Tableau skills who supports payroll-, compensation-, and finance-adjacent processes through rigorous data validation and reconciliation. Stands out for uncovering a duplicate-record mapping issue that exposed roughly $250K in revenue leakage and for building repeatable controls, dashboards, and automated checks to improve reporting accuracy.”
Kristina Shen
Intern-level Data Scientist and ML Engineer specializing in analytics and AI systems
“Early-career analytics candidate with hands-on experience in SQL/Python data pipelines, Tableau reporting, and marketing engagement analytics across internship and startup settings. Stands out for combining rigorous data quality practices with practical AI system design, including an end-to-end GPT-4 grading capstone that emphasized explainability and human oversight.”
Darshi Jain
Mid-level Customer Success Manager specializing in ads, product strategy, and analytics
“Revenue-focused seller with experience at Amazon and Vedanta, combining data-driven prospecting, account expansion, and GTM process building. Stands out for turning performance insights into repeatable growth motions—driving $3.1M annual revenue uplift and 40% format adoption at Amazon, while also building new-market playbooks from scratch in high-ambiguity industrial segments.”
Hao Liang
Mid-level Data Scientist specializing in GenAI, customer insights, and forecasting
“ML/AI practitioner with hands-on experience shipping production time-series forecasting and RAG-based customer insights platforms in an enterprise setting. At BASF, he improved seed sales forecasting beyond naive baselines using model selection tailored by brand size, and he also led a RAG solution over Salesforce reports, complaints, and surveys that reached 2,000+ users with strong daily engagement.”
Prathyusha Mardhi
Mid-level AI/ML Engineer specializing in LLM agents and workflow automation
“AI/LLM engineer with strong healthcare domain depth who has shipped production-grade agents for care coordination and clinical workflow automation. Stands out for combining Knowledge Graph RAG, LangGraph orchestration, and rigorous eval/guardrail systems to improve reliability in high-stakes environments, with measurable gains in review time, hallucination reduction, latency, and clinician adoption.”
Mounya Bonuga
Mid-level AI/ML Engineer specializing in multimodal AI and recommendation systems
“ML/AI engineer with hands-on ownership of a production LLM/RAG system at Goldman Sachs, focused on workflow automation and large-scale document search for operational teams. They combine strong MLOps and backend engineering skills with practical GenAI evaluation and safety practices, and cite measurable impact including 22% better task guidance accuracy and sub-second search across millions of records.”
An Duong
Senior Full-Stack Engineer specializing in SaaS, mobile, and AI platforms
“Product-minded full-stack engineer with experience shipping engagement features and core communication systems at DribbleUp and Expys. Stands out for combining rapid MVP execution with rigorous iteration: delivered a leaderboard feature that lifted engagement by 8% initially and 20% overall, built a chat MVP in 3 days, and has hands-on experience deploying LangChain-based concierge agents with evals and human review.”
Soumitro Chatterjee
Director-level Product Leader specializing in FinTech, SaaS, and digital growth
“Senior product leader with experience across Times Internet, Mudah.my, Wells Fargo, and delivery/logistics products, spanning SaaS, marketplace, fintech, and AI-enabled platforms. Stands out for building products end-to-end with strong commercial outcomes, including a multi-channel engagement platform that became a new SaaS revenue stream and AI features that improved marketplace liquidity while keeping humans in control.”
Sai Teja Challa
Mid-Level AI Engineer specializing in NLP, computer vision, and LLM applications
“LLM/RAG practitioner who productionized an LLM-driven customer communication and transaction understanding system at PayPal, emphasizing privacy/compliance guardrails and large-scale data normalization. Experienced in real-time debugging of hallucinations via retrieval pipeline tuning and in leading hands-on developer workshops and sales-aligned POCs to drive adoption.”
Yujie Zhang
Mid-level Embedded Software Engineer specializing in LiDAR firmware and SoC systems
“Firmware architect/lead engineer for automotive LiDAR sensors, designing RTOS-based, layered firmware and solving high-throughput real-time constraints using DMA and lock-free buffering. Built ROS nodes to bridge embedded sensor output to higher-level perception (point clouds, diagnostics, configuration) while isolating real-time logic in firmware. Established an end-to-end CI/CD pipeline with GTest unit tests plus SIL/HIL automation and Dockerized build/test environments.”
Abhinav Naragani
Mid-level Full-Stack Developer specializing in cloud-native web applications
“Software engineer with strong end-to-end ownership of search and listing systems (React/TypeScript frontend with Node.js + Spring Boot backends), focused on shipping fast while managing risk via feature flags, testing, and metrics. Demonstrated measurable UX/performance wins (reduced latency and search abandonment) and built internal observability tooling (dashboard + alerts) that improved incident response. Experienced with microservices reliability patterns including idempotency and dead-letter queues.”