.png){kind=logo}
Vetted Research Assistants
Pre-screened and vetted.
Junior Robotics Software Engineer specializing in legged robotics and embedded control
Mid-Level Full-Stack Software Engineer specializing in scalable web platforms and APIs
Ann Emily Gregoire
Senior Frontend Developer specializing in React and industrial ERP systems
“Frontend engineer focused on scalable architecture and long-term maintainability, emphasizing modular component design in React + TypeScript. Has experience building reusable component libraries (including Storybook and shared repos) and collaborating with design/product to refine UX workflows, reducing development time over successive iterations.”
Sree Gautham Alluri
Mid-level Robotics & AI Developer specializing in autonomous navigation and LLM-powered robotic systems
“Robotics Support Engineer at HAI Robotics supporting a 385-robot warehouse fleet at a Shein client site. Built a production automation and reporting workflow to diagnose and resolve abnormal shelf locations, cutting incidents from ~250/day to ~25/day while providing actionable root-cause data to client/ops/maintenance. Hands-on ROS 2 (Humble) debugging across Nav2/localization/TF and sensor integration issues including QoS and firmware coordination.”
Dhananjay Dubey
Senior Full-Stack Game Engineer specializing in multiplayer Unity and mobile systems
“Unity/C# game developer with hands-on experience shipping large-scale multiplayer mobile games, including titles cited at 1M+ and 10M+ downloads. Combines real-time networking and physics optimization expertise with AI/MR research experience, including an IEEE-published sports coaching system using pose estimation, SMPL-X, and LSTM models. Particularly strong in latency-sensitive, cross-platform interactive systems spanning mobile, multiplayer, and mixed reality.”
Vidhi Shah
Director-level Brand Strategist and Creative Producer specializing in media and entertainment
“Startup operator from a fast-scaling media company who grew from associate to building and scaling the brand solutions team while working closely with founders. Brings a rare mix of client leadership, team building, and operating design, including helping restructure the company from department-based teams into cross-functional silos and crafting accessible messaging for a Web3 marketplace client.”
Junior Robotics and Computer Vision Engineer specializing in perception and autonomy
Junior Robotics & Mechatronics Engineer specializing in embedded automation and robotic systems
Director-level data and analytics leader specializing in real estate and geospatial intelligence
Executive People & Culture Leader specializing in Tech and FinTech
Diana Minine Gudinho
Mid-level Data Scientist specializing in GenAI, RAG, and forecasting
“ML/NLP engineer focused on large-scale data linking for e-commerce-style catalogs and customer records, combining transformer embeddings (BERT/Sentence-BERT), NER, and FAISS-based vector search. Has delivered measurable lifts (e.g., +30% matching accuracy, Precision@10 62%→84%) and built production-grade, scalable pipelines in Airflow/PySpark with strong data quality and schema-drift handling.”
Mid-Level Full-Stack Software Engineer specializing in microservices and Generative AI
Mid-Level Full-Stack Developer specializing in MERN and AR/VR applications
Executive AI Architect specializing in low-power edge/embedded AI systems
Himanshu Kiran Garud
Mid-level Software Engineer specializing in full-stack systems and applied AI
“Backend/ML engineer who has built both enterprise data pipelines and real-time AI products: modular Python (Flask/FastAPI) services integrating automation scripts and low-latency ML inference (MediaPipe, PyTorch) plus OpenAI-powered feedback. Demonstrated measurable performance wins (~30% faster HR workflows; ~40% faster AWS pipelines across 100+ Oscar Health feeds) and strong multi-tenant/data-isolation patterns (schema-based isolation, RBAC, microservices).”
Alban Delamarre
Senior Unity Developer specializing in AI-driven gameplay and VR systems
“Unity/C# developer focused on mission-driven interactive products spanning mobile, VR, and AI-powered learning experiences. They have shipped educational and healthcare simulations, including a grocery-skills game for autistic users with 10k+ users and VR nurse-training/de-escalation scenarios, while also building LLM-driven avatar systems for career exploration and mock interviews.”
Rithiwik Garuda
Mid-level Full-Stack Engineer specializing in cloud-native, event-driven data platforms
“Backend/data engineer with hands-on production experience building Python (FastAPI/Flask) data enrichment services secured with Okta OAuth2 and monitored via Splunk/Dynatrace. Has delivered AWS event-driven and data-migration solutions (Lambda + Kafka to EKS; Glue from on-prem Oracle to S3/data lake) and modernized Informatica match/merge logic to cloud services using parallel-run parity validation and stakeholder sign-off.”
Shashank Chauhan
Mid-level Software Engineer specializing in AI/ML and cloud data platforms
“ML engineer with hands-on experience taking a Gaussian Process Regression-based intelligent survey timing system from build to real-world deployment, including a 3-week RCT on 120 participants and measurable improvements (15% response rate, 23% data quality). Also served as a key technical resource at CData for customer-facing demos and debugging hundreds of production issues, bridging engineering with Sales and Customer Success.”
Dara McNally
Junior Computer Vision Researcher specializing in deep learning and object detection
“Robotics engineer who built and scaled a distributed perception stack on a Unitree Go1 quadruped, coordinating 5 Jetson Nanos and a Raspberry Pi to capture, aggregate, and stream multi-camera video in real time via UDP/GStreamer and custom ROS nodes. Also implemented a YOLOv9-based detection pipeline enhanced with Grad-CAM-driven selective image enhancement (e.g., MIRNet/UFormer) to improve real-time detections and robot reactions to visual stimuli.”