Vetted Research Assistants

“Software engineer with experience at Striim and Amazon who ships end-to-end production systems across UI, backend, ML, and operations. Built a real-time PII detection capability for a streaming data platform by integrating Python ML inference into a Java monolith via gRPC sidecars, achieving ~3M events/hour throughput and ~93% accuracy, and helped drive enterprise adoption (Fiserv, CVS). Also modernized internal Amazon tooling for multi-region scale with modularization and fully automated deployments.”

Antara Bhavsar

Screened

Mid-level Software Engineer specializing in cloud-native systems and Android development

Bloomington, IN3y exp

“Application-focused software engineer with experience at Amazon and Motorola shipping production systems ranging from developer monitoring/on-call tooling (Alcazar, ~40% MTTR improvement) to consumer AI features used by 100K+ users. Currently building an AI/ML-driven platform with a Python/FastAPI backend on AWS (ECS/RDS/S3) and has handled real production latency/scaling incidents end-to-end.”

“Built an emergency drone-pilot dispatch platform for fire departments, law enforcement, and FEMA, owning it end-to-end from product concept through iOS app, backend dispatch logic, and ongoing iteration. Particularly strong in designing mission-critical, regulation-aware workflows that combine FAA/LAANC compliance, geolocation, flight planning, and even autonomy/computer-vision systems into a reliable operational product.”

“Robotics software candidate with hands-on experience building a self-balancing, Segway-like robotic ambulator by deriving and iteratively improving the full dynamics model (including bearing losses, BLDC back-EMF, and accurate COM estimation). Has practical ROS/ROS2 exposure (tf2, RViz, rosbag2, slam_toolbox) plus Gazebo/Simulink simulation and Turtlebot vision-based obstacle avoidance using ROS + MATLAB.”

“Robotics software engineer/researcher at Stanford PDML Lab building VisualFT, a ROS2-based visual-tactile sensing system for compliant force-control guidance in acupressure/ultrasound-style manipulation. Also interned at Neocis (dental robotics) improving safety-critical collision detection using Bullet Physics with automated validation and CI (Jenkins/CDash).”

“Operations- and systems-minded candidate with experience improving hospital billing workflows and automating a campus package pickup/drop-off system that streamlined operations for 400 students and 20 student workers. While they do not have direct outbound prospecting experience, they articulated a thoughtful, research-driven framework for building an SDR pipeline engine from scratch.”

“Backend-leaning full-stack engineer with Amazon production experience on book and author search suggestions, plus hands-on work integrating AI agents with Node.js, Bedrock, and OpenAI Assistants. Also built internal admin tools for safety training, OSHA compliance, and digital badge workflows, showing strength in turning ambiguous operational problems into practical shipped products.”