Vetted C Professionals

Pre-screened and vetted.

SR

Executive Technology Leader in AI/ML, cloud platforms, and biotech/healthcare data systems

29y exp
Santa Ana BioCarnegie Mellon University

Engineering leader with experience building point-of-care diagnostics platforms (IoT-connected PCR device delivering results in <15 minutes) and scaling multidisciplinary teams (55+). Has led major data/IoT architecture decisions (multi-cluster Kubernetes with secure routing; Kafka + Gobblin over MQTT) and runs execution with Agile roadmaps tightly aligned to GTM and senior leadership.

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CW

Mid-level Software Engineer specializing in Windows graphics performance and cloud automation

Redmond, WA6y exp
MicrosoftOregon State University

Graphics software engineer with academic robotics/HRI experience at Oregon State University under Dr. Heather Knight, leading a ROS+Python physical robot and Unity/C# VR system to study how motion/texture/collisions are perceived in VR (2 papers + thesis). Also built ROS-based Wizard-of-Oz TurtleBot study systems and multi-robot coordination experiments, plus industry experience with Docker/Kubeflow ML tooling and Azure DevOps CI/CD automation.

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EO

Ege Ozgul

Screened

Junior Embedded/Robotics Engineer specializing in AI diagnostics, simulation, and real-time control

Palo Alto, CA1y exp
RivianNortheastern University
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Shahmeer Malik - Junior Software Development Engineer specializing in cloud security and CI/CD in Herndon, VA

Junior Software Development Engineer specializing in cloud security and CI/CD

Herndon, VA2y exp
AmazonUniversity of Michigan

Backend/security-focused engineer supporting a service with 100k+ monthly users. Built an automated load-testing suite that reproduced and mitigated catastrophic host failures from oversized SCP/rsync transfers via host-level throttling, and proposed a future sharding approach for very large transfers. Also created an internal agent to summarize anomalous metrics and provide ready-to-run debug queries, significantly reducing ops review time.

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Keerthana Senthilnathan - Junior Machine Learning Engineer specializing in LLM systems and inference reliability in California, USA

Junior Machine Learning Engineer specializing in LLM systems and inference reliability

California, USA1y exp
llm-dUC San Diego

ML/LLM infrastructure-focused engineer who built a production stateful LLM inference service that cuts latency and GPU compute for repeated/overlapping prompts via caching with correctness guardrails. Strong in Kubernetes-based deployment and reliability engineering, using A/B testing and similarity-based evaluation to quantify performance gains without sacrificing output quality.

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GL

Grey Luo

Screened

Junior Software Engineer specializing in LLM agents and AWS backend systems

Seattle, WA1y exp
AmazonUC San Diego

Built and owned the end-to-end architecture for a Quick Flows “research card” backend at AWS, using an event-driven AWS stack (SNS/SQS, DynamoDB, S3) to support asynchronous research output processing and status tracking. Emphasized maintainability via unit tests, smoke tests, and CI/CD with staged environments (devtest and gamma).

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AC

Senior Data Scientist specializing in machine learning, NLP, and MLOps

Dallas, TX8y exp
AstroSirensUniversity of Houston

ML/NLP engineer with experience building production-grade legal-tech and data platforms, including a GPT-4/LangChain contract review system using ElasticSearch embeddings (RAG) deployed on AWS EKS. Strong in entity resolution and scalable batch/streaming pipelines (Kafka/Spark), with measurable impact (70%+ reduction in contract review time) and a focus on monitoring and CI/CD for reliable delivery.

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AC

Aesha Choksi

Screened

Director-level Engineering Leader specializing in Cloud Security and Data Platforms

San Francisco, CA20y exp
SysdigCalifornia State University, East Bay

Engineering leader in cloud security at SysTech with player-coach experience spanning cross-team data/ownership standardization and reporting platform user-journey improvements. Stays technically deep through observability (SLA/SLOs, dashboards, alerting), rigorous code reviews (including AI-assisted coding), and end-to-end incident ownership in IAM/agentless cloud event collection. Targeting $270K–$300K base plus bonus/equity.

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Sandeep Rohilla - Principal Backend/Platform Engineer specializing in GenAI agent orchestration and LLM pipelines in San Francisco, CA

Principal Backend/Platform Engineer specializing in GenAI agent orchestration and LLM pipelines

San Francisco, CA19y exp
MyResumeStar.comUSC

LLM-focused engineer/sales-engineering profile with hands-on experience productionizing complex systems: scalable distributed architecture, multi-tenant monitoring, canary/shadow rollouts, and robust fallback strategies. Demonstrated real-time troubleshooting depth (p99 latency spikes traced to DB connection limits causing retry storms) and strong developer-facing communication via RAG workshops and live, customer-specific demos that helped close deals quickly.

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ED

Junior Security Engineer specializing in LLM-based incident response and on-chain threat intelligence

San Jose, CA2y exp
OKXCornell University
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Naveen Shenoy - Junior Software Engineer specializing in distributed systems, cloud, and data infrastructure in Pittsburgh, PA

Junior Software Engineer specializing in distributed systems, cloud, and data infrastructure

Pittsburgh, PA1y exp
NetAppCarnegie Mellon University
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Eshna Gupta - Intern Software Engineer specializing in full-stack development and machine learning in Menlo Park, CA

Intern Software Engineer specializing in full-stack development and machine learning

Menlo Park, CA3y exp
MetaUSC
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Ankur Ahlawat - Senior Software Engineer specializing in game development and 3D/AR/VR systems in Los Angeles, CA

Senior Software Engineer specializing in game development and 3D/AR/VR systems

Los Angeles, CA18y exp
Warner Bros.Carnegie Mellon University
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MG

Senior Applied Scientist specializing in LLMs, GenAI, and agentic systems

Seattle, WA5y exp
AmazonUSC
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KK

Director of Engineering specializing in capital markets risk, trading systems, and AI/ML platforms

San Jose, CA29y exp
CognizantNYU
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BH

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

Irvine, CA4y exp
AmazonUC San Diego
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PC

Junior Robotics Engineer specializing in semantic navigation and computer vision

Ann Arbor, MI1y exp
University of MichiganUniversity of Michigan
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Mahad Rehan - Entry-Level Software Engineer specializing in full-stack web and AWS microservices in Vancouver, BC

Entry-Level Software Engineer specializing in full-stack web and AWS microservices

Vancouver, BC2y exp
AmazonQueen's University
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BB

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

Seattle, WA6y exp
MicrosoftColorado State University
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JD

Mid-level Machine Learning Engineer specializing in real-time fraud detection and edge AI

Bay Area, CA6y exp
StripeUniversity of Tampa
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Shih Hsuan Lin - Intern Full-Stack Software Engineer specializing in LLM-integrated web apps and microservices in Boston, MA

Intern Full-Stack Software Engineer specializing in LLM-integrated web apps and microservices

Boston, MA2y exp
AmazonCarnegie Mellon University
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Keshav Agarwal - Junior Software Engineer specializing in full-stack systems and ML/GenAI

Junior Software Engineer specializing in full-stack systems and ML/GenAI

2y exp
InformaticaUniversity of Illinois Urbana-Champaign
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CO

Senior Software Engineer specializing in cloud payments, cryptography, and low-latency systems

Remote16y exp
Amazon Web ServicesDePaul University
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SB

Senior QA/Test Engineer specializing in cross-platform testing and identity, automotive, and consumer apps

Kirkland, WA12y exp
GoogleNational School of Hotel Management
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