Vetted Version Control Professionals

Pre-screened and vetted.

LN

Mid-level Data Science AI/ML Engineer specializing in Generative AI, LLMs, and RAG systems

USA3y exp
Samsara

Built a production RAG-based "knowledge copilot" for support/ops using LangChain/LangGraph, implementing the full pipeline (ingestion, chunking, embeddings, vector DB retrieval/rerank, guarded generation with citations) and operating it as monitored microservices with CI/CD. Also designed an event-driven, streaming backend for real-time inventory ordering predictions that reduced stockouts by 25%, and has hands-on incident response experience stabilizing LLM API latency/5xx spikes using Datadog/APM and resilience patterns.

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AA

Senior Full-Stack Software Engineer specializing in cloud-native microservices

Austin, TX6y exp
AppleTexas A&M University-Kingsville
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NP

Mid-level Backend/Full-Stack Software Engineer specializing in cloud-native microservices and APIs

San Francisco, CA5y exp
MetaConcordia University Wisconsin
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Tushant Bhaware - Mid-Level Software Engineer specializing in microservices, React, Python, and iOS in Bangalore, India

Mid-Level Software Engineer specializing in microservices, React, Python, and iOS

Bangalore, India5y exp
AmazonSGGS Institute of Engineering and Technology
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AZ

Senior Backend Software Engineer specializing in Python and AWS cloud services

Los Angeles, CA10y exp
MojoTechUniversity of Illinois Chicago
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AR

Mid-level Data Scientist specializing in ML, NLP, and fraud/anomaly detection

Remote, USA4y exp
StripeIndiana Wesleyan University
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YV

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

Bay Area, CA5y exp
SalesforceUniversity of North Carolina at Charlotte
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HH

Senior Product Engineer/Manager specializing in data-driven product and systems operations

Fremont, CA7y exp
MetaSan José State University
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SL

Junior Full-Stack Software Developer specializing in FinTech and enterprise applications

Chicago, IL2y exp
PayPalPurdue University
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JM

Principal Data Scientist specializing in Generative AI and MLOps

Hamilton Township, NJ10y exp
PineconeNew Jersey Institute of Technology
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JC

Senior Machine Learning Engineer specializing in GenAI, NLP, and MLOps

McKinney, TX8y exp
UberTexas Southern University
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JR

Mid-level Frontend Engineer specializing in cloud enterprise applications

East Palo Alto, CA3y exp
Amazon Web ServicesSaint Petersburg State University of Economics
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SG

Mid-level AI/ML Engineer specializing in multimodal and generative AI at scale

San Francisco, CA6y exp
MetaWilmington University
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OA

Senior DevOps Engineer specializing in cloud infrastructure, Kubernetes, and CI/CD automation

12y exp
Micron TechnologyTexas A&M University
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LG

Mid-level Full-Stack Engineer specializing in Python microservices and cloud automation

San Jose, CA6y exp
MicrosoftSaint Louis University
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MV

Mid-level QA Engineer specializing in test automation and FinTech trading systems

Remote6y exp
RobinhoodBelarusian State University
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SP

Mid-level Full-Stack Developer specializing in AWS modernization and Java/Angular

Dallas, TX6y exp
AmazonHumphreys University
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Kanishka Harwani - Intern Robotics & Embedded Systems Engineer specializing in ROS2 autonomous mobile robots in New York, NY

Kanishka Harwani

Screened ReferencesModerate rec.

Intern Robotics & Embedded Systems Engineer specializing in ROS2 autonomous mobile robots

New York, NY1y exp
New York UniversityNYU

Recent graduate with a prototyping/hardware engineering background who is building a ROS2-dependent swarm robotics system for transporting non-standard cargo using 3+ robots. Has hands-on experience integrating multiple sensor modalities (LiDAR, IMU, GPS, radar) and developing custom teleoperation ROS nodes, currently tackling networking/communication challenges in multi-robot coordination.

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VK

Vasanthi Koya

Screened

Senior Full-Stack/Data Engineer specializing in cloud data pipelines for legal and financial platforms

Schaumburg, IL6y exp
DocuSignUniversity of Illinois Springfield

Data/analytics engineer who built and operated a DocuSign-based real-time analytics platform end-to-end, processing 20–50k webhook events/day with ~99.5% reliability. Strong in idempotent event processing, schema-evolution-safe ingestion (raw JSON + dynamic parsing), and serving data via versioned, low-latency REST APIs with solid CI/CD and observability.

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