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Vetted Research Assistants in New York
Pre-screened and vetted in New York.
Mid-level Data Scientist specializing in LLMs, RAG, and ML systems
Mid-level Software Engineer specializing in full-stack platforms and applied AI
Mid-level Robotics Engineer specializing in autonomous systems and industrial automation
Intern/Junior Full-Stack & AI Software Engineer specializing in voice agents and web platforms
PavanKalyann Kathiresan
Entry-Level Robotics Software Engineer specializing in ROS 2 autonomy and multi-robot systems
“Robotics software engineer focused on ROS 2 multi-robot coordination, having built task allocation and reliable inter-robot communication for simulated TurtleBot3 fleets. Demonstrates strong integration/debugging skills across Nav2 + gmapping (SLAM drift, TF tree, odometry/sensor fusion) and pairs it with production-minded tooling—Docker/Kubernetes deployments and CI/CD simulation testing via GitHub Actions.”
Darshan Vithlani
Mid-Level Growth Marketer specializing in paid media, demand generation, and marketing analytics
“Performance-focused paid social creative lead with deep Meta experience in DTC/eCommerce for a bridal brand, owning strategy, briefs, testing, and QA while delegating production. Known for rapid iteration (8–12 variants/week) and measurable lifts (2.8 ROAS; CPA down 25%+), plus strong UGC direction and landing-page alignment that materially improves conversion.”
Urvashi Dhingra
Mid-Level Software Engineer specializing in full-stack, cloud, and data platforms
“Backend/full-stack engineer who has owned production TypeScript systems in both fintech-style transaction/rewards flows and HIPAA-regulated healthcare platforms. Deep focus on correctness and reliability (idempotency, retries/DLQs, reconciliation, observability) plus strong infra automation (Docker/Terraform/CI-CD) and measurable performance wins (40% query improvement, 90% test coverage).”
Anar Nurizada
Mid-level Robotics Engineer specializing in simulation-to-real ML control
“Robotics/ML engineer who benchmarks and adapts open-source robot action models, building synthetic datasets in Isaac Sim and modifying vendor code to scale training across multiple GPUs. Also built a production-style computer vision pipeline at Zortag—training a tiny YOLO-based classifier for fake-vs-real label detection and deploying it in a real-time iOS app with additional display/spoof detection.”
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices
Junior Software Engineer specializing in backend systems and ML infrastructure
Mid-level Software Engineer specializing in scalable backend systems and distributed data processing
Mid-level Full-Stack Engineer specializing in React, TypeScript, and AI-enabled web apps
Senior Engineering Manager specializing in AWS cloud-native distributed systems
Mid-Level Backend Software Engineer specializing in FinTech microservices
Junior Software Engineer specializing in AI-driven full-stack and distributed systems
Junior Full-Stack Developer specializing in web apps, APIs, and AI integrations
Priyank Jhaveri
Junior AI/ML & Mobile Engineer specializing in LLMs, synthetic data, and React Native
“Currently at Uplift AI shipping production LLM features that generate personalized growth insights from user reflections using BERT + embeddings + RAG, with strong safety/guardrail practices for sensitive contexts. Also built an end-to-end React Native UGC challenge submission/moderation system that improved repeat submissions and 7-day retention, and has applied rigorous clinical-style evaluation methods on a dental X-ray disease detection project to reduce false negatives.”