Vetted Data Structures Professionals

Pre-screened and vetted.

VL

Mid-level Full-Stack Developer specializing in cloud-native microservices

USA5y exp
Capital OneStevens Institute of Technology
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DM

Mid-level Software Engineer specializing in full-stack and cloud-native systems

New York, NY6y exp
VerizonUniversity of North Carolina at Charlotte
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SG

Mid-level Backend Software Engineer specializing in AWS microservices and REST APIs

Redmond, WA7y exp
AmazonUniversity of North Texas
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SS

Software Engineer specializing in distributed systems, messaging platforms, and AI-enabled products

Los Angeles, CA2y exp
FeatherUSC
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JJ

Mid-level Data Analyst specializing in ETL, data quality, and entity resolution

8y exp
ComcastWashington University in St. Louis
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PP

Senior Customer Success & Analytics professional specializing in BI and cross-functional strategy

Overland Park, KS7y exp
MphasisUC Berkeley
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RK

Mid-level Cloud and DevOps Engineer specializing in AWS infrastructure and platform automation

San Jose, CA5y exp
AmazonSan José State University
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GK

Intern Software Engineer specializing in cloud-native distributed backend systems

Portland, OR3y exp
NikeOregon State University
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MN

Junior Full-Stack Software Engineer specializing in web, mobile, and AI applications

El Segundo, CA1y exp
TechEmpowerUC Berkeley
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RC

Junior Technical Product Manager specializing in SaaS, AI automation, and API integrations

Durham, North Carolina2y exp
Duke UniversityDuke University
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SG

Senior AI/ML Engineer specializing in LLM applications, RAG systems, and MLOps

6y exp
PersistentUSC
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VN

Mid-Level Software Engineer specializing in FinTech trading and portfolio platforms

Denver, CO4y exp
Morgan StanleyUniversity of Denver
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SC

Intern AI/Software Engineer specializing in LLM agents and full-stack automation

San Francisco, CA1y exp
Addy AICarnegie Mellon University
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SG

Mid-Level Software Engineer specializing in AI platforms and backend systems

New York, NY6y exp
IndeedNYU
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SS

Mid-level Backend Software Engineer specializing in FinTech and cloud microservices

Bellevue, WA4y exp
UberAuburn University at Montgomery
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RA

Junior Robotics Software Engineer specializing in embedded radar and ROS2 autonomy

Mountain View, CA2y exp
SonatusJohns Hopkins University

Robotics software engineer who has built full ROS 2 stacks for both a semi-automated robotic ultrasound system (UR5e + depth camera) and a quadrotor planning/MPC pipeline in Gazebo. Strong in integrating major ROS 2 frameworks (MoveIt/Nav2/RTAB-Map), writing custom packages (URDF, ACADOS-based MPC, laser landmark detection), and optimizing real-time behavior via GPU parallelization and distributed multi-threaded ROS 2 architectures; also contributes to ROS 2 core (structured parameters).

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SS

Shayan Shokri

Screened

Intern ML Engineer specializing in LLMs and NLP research

Seattle, WA0y exp
TruvetaCity University of New York

ML/LLM practitioner with experience at Truveta building an LLM-based evaluation framework; identified non-overlapping evaluator failure modes and proposed an ensemble approach that enabled scaling training data and drove ~5% performance gains across multiple internal projects. Strong focus on robustness to distribution shift (augmentation/domain adaptation/meta-learning) and production reliability via monitoring, drift detection, and safe fallbacks.

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Akashleena Sarkar - Junior Software Engineer specializing in robotics and real-time distributed systems in Mountain View, CA

Junior Software Engineer specializing in robotics and real-time distributed systems

Mountain View, CA2y exp
Intrinsic Innovation LLCUC Santa Cruz

Robotics software engineer focused on low-compute navigation/SLAM: built a 6-DOF SLAM validation pipeline (IMU + 2D LiDAR + ultrasonic) producing ~1cm OctoMap accuracy and deployed it on an Intel Atom by optimizing particle-filter SLAM with a greedy max-likelihood update. Deep ROS 2 experience (executors, composable/lifecycle nodes, QoS, timestamping) plus simulation and deployment tooling (Gazebo C++ plugins, Docker, CI/CD, ROS 2 build farm) and drone navigation work with MAVROS/PX4.

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Alp Komban - Junior Machine Learning Engineer specializing in computer vision for medical imaging in Mountain View, CA

Alp Komban

Screened

Junior Machine Learning Engineer specializing in computer vision for medical imaging

Mountain View, CA2y exp
Smartlens Inc.Cornell University

Applied ML/LLM practitioner working in healthcare-facing products, using RAG and LoRA fine-tuning on medical data and implementing production monitoring (confidence scoring) for clinician oversight. Has hands-on experience debugging agentic/LLM pipelines (including OCR preprocessing fixes) and regularly delivers technical demos to doctors, investors, and conferences—contributing to adoption and even helping close a funding round through end-to-end pipeline walkthroughs.

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YV

Intern Data Scientist / Software Engineer specializing in ML, computer vision, and cloud

United States2y exp
CCC Intelligent SolutionsJohns Hopkins University
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GK

Intern-level Software Engineer specializing in backend systems and applied AI

San Diego, CA1y exp
QualcommUniversity of Maryland, College Park
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