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Vetted Data Structures and Algorithms Professionals

Pre-screened and vetted.

AG

Mid-level Full-Stack Developer specializing in cloud-native data platforms

New York, NY5y exp
DatabricksSUNY
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RC

Intern Software Engineer specializing in full-stack and cloud development

Denver, CO2y exp
AmazonUC Irvine
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HL

Intern Machine Learning Engineer specializing in Generative AI and LLM systems

Hong Kong, China1y exp
Blue InsuranceDuke University
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CK

Mid-Level Software Engineer specializing in cloud microservices and DevOps automation

Bangalore, India4y exp
SAPPenn State University
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GG

Mid-Level Full-Stack Software Engineer specializing in web apps, cloud, and data visualization

USA3y exp
MicrosoftUniversity of North Texas
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AT

Intern/Entry Software Engineer specializing in AI document intelligence and web development

Remote0y exp
OutamationUC Santa Cruz
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NM

Senior Full-Stack Developer specializing in AI-driven cloud-native systems

United States5y exp
AmazonUniversity of Central Missouri
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SM

Mid-level Software Engineer specializing in backend systems, cloud, and AI

San Francisco, CA2y exp
AmazonTexas A&M University
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PA

Junior Software Developer specializing in C++ systems and performance engineering

San Jose, CA1y exp
AMDNorth Carolina State University
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SK

Mid-level AI/ML Engineer specializing in production ML, NLP, and computer vision

USA6y exp
UberUniversity of Maryland, Baltimore County
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PS

Senior Software Engineer specializing in cloud-native data platforms

6y exp
EParts ServicesCarnegie Mellon University
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SS

Mid-level Full-Stack Software Engineer specializing in microservices and cloud-native systems

Seattle, WA6y exp
UberUniversity of Texas at Arlington
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EB

Mid-Level Physics/Simulation Engineer specializing in gameplay and real-time destruction

Glendale, CA6y exp
That’s No Moon EntertainmentCarnegie Mellon University
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IK

Intern Aerospace/Robotics Engineer specializing in GNC, autonomy, and sensor fusion

Champaign, IL3y exp
AndurilUniversity of Illinois Urbana-Champaign

University robotics researcher graduating May 2026 who integrated an Intel RealSense D435i onto a TurtleBot3 (Jetson Nano) and built a ROS 2 node + OpenCV pipeline to feed color-based cues into navigation/path planning for RL grid-world experiments. Has hands-on ROS 2 experience spanning Gazebo simulation, Nav2, ros2_control, multi-robot namespacing, and ROS1-to-ROS2 bridging, plus CI/CD exposure (GitLab CI, Jenkins) from internships including aircraft navigation work.

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TA

Mid-level Robotics Engineer specializing in SLAM, perception, and state estimation

4y exp
General MotorsUniversity of Michigan

Robotics software lead with 4+ years of ROS/ROS2 experience spanning a startup (Inductive Robotics) and General Motors, building autonomous mobile manipulation and AMR material-handling stacks. Has hands-on depth in SLAM/navigation (Cartographer/Nav2), perception, and simulation, and has directly modified Cartographer to handle real-world sensor dropouts. Currently working on fleet-scale mapping capabilities (map merging/editing, trajectory pruning) for multi-robot deployments.

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PP

Mid-Level Backend/Cloud Engineer specializing in AWS/Azure microservices

Richardson, TX4y exp
AmazonUniversity of Texas at Dallas

Full-stack engineer who built a smart loan approval workflow for a Goldman Sachs hackathon (React/Node/Express/Postgres) including KYC handling, reviewer queues, and an ML-based pre-scoring/auto-reject step. Also has Amazon internship experience driving a customer-facing long-polling change that reduced empty requests by 84%, and demonstrates strong system design depth in real-time voice + LLM streaming architectures.

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LT

Mid-level Software Engineer specializing in ML platforms and cloud-native backend systems

San Francisco, CA5y exp
City and County of San FranciscoSan Francisco State University

Software engineer with experience at Google and the City and County of San Francisco building production AI systems, including a RAG-based internal support chatbot and ML-driven ticket priority tagging. Has scaled data/ML platforms with Airflow on GCP (1M+ records/day, 99.9% SLA) and deployed multi-component systems with Docker and Kubernetes (GKE), using modern LLM tooling (LangChain/CrewAI, Claude/OpenAI, Pinecone/ChromaDB, Bedrock/Ollama).

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XJ

Xiao Jiang

Screened

Mid-level Gameplay Engineer specializing in Unity and Unreal Engine

Hangzhou, China3y exp
KuaishouUSC

Gameplay engineer with hands-on experience across Unreal Engine 5 and Unity, owning systems from level streaming/teleportation to motion-matched character movement. Has shipped/implemented multiplayer features including GAS-based replication with prediction/reconciliation and a deterministic lockstep runner using fixed-point math. Strong at diagnosing hard-to-repro physics issues and balancing performance/feel (e.g., mobile voxel A* pathfinding at 60 FPS, Chaos destruction tuned to avoid trapping players).

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JM

Jonathan Ma

Screened

Intern Robotics & Computer Vision Engineer specializing in surgical robotics

Columbia, Maryland2y exp
Optosurgical LLCUniversity of Pennsylvania

Robotics software engineer who built and owned an autonomous laparoscope tracking system on a UR3e with an eye-in-hand RealSense camera, integrating YOLO-based tool detection with velocity control under a strict RCM constraint and deploying successfully in a hospital setting. Deep ROS2/MoveIt2 experience (architecture, QoS, custom nodes) plus autonomy stack work across SLAM, planning, and real-time latency/control debugging.

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PP

Intern Software Engineer specializing in distributed systems and security

San Jose, CA6y exp
AnyLogUniversity of Pennsylvania

Built a production LLM-powered analyst assistant at Discern Security to speed up SOC investigations using a RAG pipeline over security vendor documentation (Python PDF ingestion, vector search). Demonstrates deep, security-critical LLM engineering: structure-aware chunking with custom table parsing, grounded/cited responses, prompt-injection defenses, and post-generation validation, validated via golden datasets and adversarial testing; tool is used daily by analysts.

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JS

Jonas Shuai

Screened

Mid-level Full-Stack Software Engineer specializing in cloud, microservices, and React/Java

Menlo Park, CA3y exp
Mainspring EnergyUniversity of San Francisco

Software engineer with experience at PayPal and JPMC building large-scale onboarding/account setup systems using React/TypeScript with Spring Boot/Node microservices and Kafka. Also built an Ignition-based SCADA monitoring tool at Mainspring Energy that became the default for manufacturing/test engineers by aggregating real-time telemetry and historical test data.

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CD

Intern Robotics/Software Engineer specializing in autonomy, computer vision, and controls

San Diego, CA0y exp
TP Engineering ServicesUniversity of Michigan

Robotics software engineer with a master’s focused in the field who has integrated a multi-sensor robotics fusion laser system (fault detection, PLC comms, PyTorch-based CV diagnostics, and an engineer-facing status front end) under NDA. Has ROS experience from the University of Michigan Autonomous Robotic Vehicle team using Nav2/SLAM Toolbox/Gmapping with RViz and ROS bag-driven debugging, plus Gazebo simulation work and upcoming drone path-planning optimization research.

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AS

Junior Software Engineer specializing in distributed systems and backend microservices

Bangalore, India1y exp
NykaaStony Brook University

Distributed systems engineer (ex-Nykaa, Licious) who built a PBFT-based Byzantine fault-tolerant consensus system in Go for a multi-node banking-style application, including checkpointing and automated failover/leader election. Strong production reliability background with Docker, Jenkins CI/CD, and monitoring/on-call troubleshooting using Grafana and New Relic; no direct ROS/robotics hardware experience yet but has highly transferable multi-node coordination expertise.

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PK

Junior Software Engineer specializing in full-stack systems and distributed log analytics

Miami, FL1y exp
NeocisCarnegie Mellon University

CMU candidate with hands-on experience taking LLM concepts from research prototypes toward production-ready designs (structured outputs, guardrails, failure-scenario evaluation). Also partnered with sales/customer teams at Mazecare to drive adoption with Dontia Alliance (largest dental clinic chain in Singapore) and engaged Singapore government stakeholders, bridging clinical workflow needs with IT security/integration concerns.

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