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Vetted C Professionals

Pre-screened and vetted.

CPythonC++JavaGitDocker
RM

Rahman Mohammad

Mid-Level Full-Stack Developer specializing in MERN and AR/VR applications

Indiana, USA4y exp
Purdue University NorthwestPurdue University Northwest
A/B TestingAdobe Creative SuiteAlgorithmsAngularJSAPI IntegrationBootstrap+111
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ZK

Zach Kelling

Executive Founder/CTO specializing in full-stack engineering and blockchain systems

14y exp
Hanzo
GoTypeScriptJavaScriptPythonCC+++95
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SK

Sai krishna P

Senior Backend Software Engineer specializing in Java microservices and cloud platforms

5y exp
Family ExpressValparaiso University
AgileAngularAPI DesignAuthenticationAuthorizationAWS+108
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SP

Sri Premanth Pasumarthi

Mid-level AI/ML Engineer specializing in cloud-native data pipelines and RAG systems

Texas, USA5y exp
TCSUniversity of South Florida
AgileAJAXApache AirflowAuthenticationAuthorizationAWS+143
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BS

Bhanu Saisree Thanniru

Mid-level Full-Stack Software Engineer specializing in Java/Spring Boot and React

5y exp
University of North Carolina at CharlotteUniversity of North Carolina at Charlotte
AngularAPI IntegrationAWS CloudFormationAWS LambdaAzure DevOpsC+109
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KG

Kim Go

Executive Technology Leader specializing in cloud security, product strategy, and scalable platforms

Santa Monica, California25y exp
ACCURATE INCYork University
API DesignAWSCC++CRMData Validation+67
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DM

Devisri Macharla

Junior Full-Stack Developer specializing in AI and cloud-native systems

Oregon, United States3y exp
NerdPineKennesaw State University
C#CC++.NETPythonJava+86
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SK

Shingirai Kucherera

Mid-Level Low-Code Developer specializing in Dynamics 365 and Power Platform

Alpharetta, GA4y exp
University of South FloridaGeorgia Southern University
JavaHTMLCSSPythonCC+++42
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YP

Yash Patel

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

TX, USA4y exp
DXC TechnologyTexas A&M University
SDLCAgileWaterfallPythonJavaC+89
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RM

Raviteja Moolinti Nallakkagari

Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps

4y exp
Development Dimensions InternationalUniversity at Buffalo
PythonCC++RScalaMachine Learning+90
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SD

SaiChaithrik Dangeti

Junior Full-Stack Developer specializing in Java/Spring Boot and Angular

1y exp
RyderUniversity of Texas at Dallas
AngularApache HadoopApache SparkAWSBootstrapC+60
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SS

Shyam Sundar Aswadha Narayanan

Senior Software Engineer specializing in robotics, computer vision, and scientific instrumentation

Dallas, TX15y exp
DCG SystemsUniversity of London
C#CC++PythonJavaSQL+105
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MS

Mira Saleh

Senior Recruiter specializing in engineering and AEC staffing

Chicago, IL9y exp
Flux ResourcesUniversity of Iowa
CommunicationTime ManagementCC++JavaPython+27
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DP

Dr.AdamPage Page

Executive AI Architect specializing in low-power edge/embedded AI systems

Austin, TX18y exp
AMBiQUniversity of Maryland, Baltimore County
BudgetingGenerative AIRetrieval-Augmented Generation (RAG)Performance optimizationPyTorchTensorFlow+118
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HK

Himanshu Kiran Garud

Screened ReferencesStrong rec.

Mid-Level Software Engineer specializing in full-stack web and data engineering

United States4y exp
EPRIUniversity of North Carolina at Charlotte

“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).”

PythonJavaScriptJavaC++CC#+189
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US

Urvish Shah

Screened ReferencesStrong rec.

Mid-level Robotics Software & Systems Engineer specializing in ROS2 multi-robot systems

Buffalo, NY5y exp
University at BuffaloUniversity at Buffalo

“Robotics software engineer with ROS2 multi-robot experience spanning decentralized signal source localization (LoRa RSSI on TurtleBot3) and a master’s-thesis project on collaborative object transportation with 4 robots. Strong in sim-to-real debugging—implemented noise modeling (RBF) and practical hardware/coordination fixes (CoG tuning, clock sync/flags) to make algorithms work reliably on real robots.”

RoboticsROS 2C++PythonLinuxGazebo+104
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