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Vetted Statistical Analysis Professionals
Pre-screened and vetted.
Junior UX Researcher specializing in privacy, trust, and human-centered AI
Mid-level AI/ML Engineer specializing in recommender systems, NLP, and MLOps
Mid-level Data Scientist specializing in marketing analytics and scalable data platforms
Abhishikth Meesala
Mid-level AI/ML Engineer specializing in NLP, Generative AI, and fraud detection
“At PwC, built and productionized an agentic RAG enterprise search assistant over 6M internal documents (8M embeddings), deployed across AWS and GCP. Drove major retrieval gains (72%→92% precision via BM25+dense hybrid with RRF and cross-encoder re-ranking), reduced hallucinations 30%, achieved <2s latency at 50–60K queries/month, and cut support tickets 30%—boosting adoption to 2,500 users by adding source-cited answers.”
Ryan McDowell
Senior Software Engineer specializing in pricing, marketplaces, and data engineering
“Built and operationalized intelligent pricing infrastructure for live event ticketing at StubHub, emphasizing iterative prototyping with traders and production-grade monitoring (Splunk, API/data-stream thresholding). Also partnered with customer-facing teams to drive adoption and helped win a significant consignment revenue-share deal by demoing the system to the Philadelphia 76ers and quantifying pricing efficacy and business impact.”
Mid-level Data Scientist specializing in machine learning, analytics, and cloud data pipelines
Intern AI/ML Engineer specializing in data science, NLP, and reinforcement learning
Junior AI Research Engineer specializing in NLP, speech and generative AI
Intern AI/Data Science Engineer specializing in LLM agents, data engineering, and predictive analytics
Junior Data Scientist specializing in causal inference, NLP/LLMs, and forecasting
Mid-level AI/ML Engineer specializing in Generative AI, LLMs, and RAG for financial services
Junior Software Engineer specializing in LLMs, RAG, and Knowledge Graphs
Principal Data Scientist specializing in AI/ML forecasting and MLOps
Principal Data Scientist specializing in LLMs, RAG, and enterprise AI products
Vaughn Eugenio
Mid-Level Software Engineer specializing in distributed microservices and real-time systems
“Software engineer with production experience at DraftKings and SRC, owning high-impact platform changes like early-start lineup validation fixes and a multi-service refactor to support dual-role players (e.g., Ohtani) using backward-compatible, feature-flagged rollouts. Has embedded onsite with military users to rapidly ship improvements to a COP/TAK mapping integration (TrackSync), and leverages AI tools (Claude) to accelerate learning and delivery in new domains (e.g., ESP32 smart deadbolt project).”
NEHA KOLAN
Mid-Level Software Engineer specializing in microservices and cloud data pipelines
“Full-stack engineer with end-to-end ownership across React/TypeScript frontends, Spring Boot/Node microservices, and production ops on Docker/Kubernetes and AWS (ECS/CloudWatch). Built real-time healthcare eligibility and analytics systems at Cigna and an early-stage seller onboarding platform at Flipkart, driving measurable performance gains (35–40% latency/throughput improvements) through event-driven Kafka pipelines, Redis caching, and strong reliability/observability practices.”