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Vetted Matplotlib Professionals

Pre-screened and vetted.

AB

Mid-level Software Engineer specializing in backend, full-stack, and network automation

Arlington, TX4y exp
University of Texas at ArlingtonUniversity of Texas at Arlington
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EM

Junior Software Engineer specializing in full-stack, systems, and AI development

Chantilly, Virginia2y exp
Data Annotation TechGeorge Mason University
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MK

Engineering Manager and Full-Stack Engineer specializing in SaaS platforms

Gurugram, India10y exp
AdLiftChandigarh University
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GV

Junior AI/ML Engineer specializing in LLM and RAG applications

Atlanta, GA2y exp
Pralogic TechnologiesArizona State University
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SR

Mid-Level Full-Stack & Mobile Engineer specializing in AI-powered web and mobile apps

Golden, CO3y exp
ZinniaColorado School of Mines
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NB

Junior Software Engineer specializing in cloud-native backend and LLM applications

Dallas, TX2y exp
TechCore GLobalUniversity of Texas at Arlington
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AB

Junior Machine Learning Engineer specializing in scalable ML systems and LLMs

Chicago, IL2y exp
Illinois Institute of TechnologyIllinois Institute of Technology
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HB

Mid-level AI/ML Engineer specializing in Generative AI, LLMs, and NLP

USA3y exp
LumeoFinanceNJIT
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SV

Mid-level AI Engineer specializing in LLM safety, red teaming, and evaluation

Minneapolis, MN4y exp
Arcane SystemsUniversity of Central Florida
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VP

Mid-level Python Developer specializing in web APIs and cloud deployments

Remote, USA5y exp
SynergisticITMissouri State University
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RT

Junior AI/ML Engineer specializing in LLM applications, RAG, and multimodal computer vision

Milpitas, CA3y exp
PicaggoKansas State University
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DF

Senior Full-Stack & AI Engineer specializing in FinTech and Healthcare

Princeton, Texas9y exp
NextGen CapitalUniversity of Texas at Dallas
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SL

Senior Data Engineer specializing in Machine Learning and Healthcare Data Platforms

WoodBridge, VA12y exp
Uncommon AnalyticsUniversity of Phoenix
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SP

Mid-level Software Engineer specializing in high-performance systems and hardware validation

Buffalo, NY5y exp
CytocyberneticsUniversity at Buffalo
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HV

Mid-level Data Scientist specializing in FinTech and healthcare NLP/LLMs

4y exp
University of North TexasUniversity of North Texas
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AG

Junior Software Engineer specializing in backend systems and RAG applications

San Francisco, CA1y exp
ProStruct Engineering, Inc.University of Florida
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UK

Intern Full-Stack Software Engineer specializing in cloud, microservices, and ML/NLP

India3y exp
Hue LogicsSan José State University
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RP

Rukmini Pisipati

Screened ReferencesModerate rec.

Junior AI/ML Engineer specializing in LLM automation and NLP

Indiana, United States2y exp
Human.ReadableUniversity of Cincinnati

Built and shipped a production LLM hallucination detection and monitoring pipeline using semantic-level entropy (embedding-clustered multi-generation variance) to flag unreliable outputs in downstream automation. Implemented a scalable async architecture (FastAPI + Docker + Redis/Celery) with strong observability (structured logs + PostgreSQL) and developed evaluation loops combining controlled prompts and human review; also partnered with non-technical stakeholders on AI-driven form validation/document processing.

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DP

David Pang

Screened

Intern Full-Stack Software Engineer specializing in web apps and healthcare APIs

1y exp
ScriptChain HealthUniversity at Buffalo

Full-stack developer who built an end-to-end e-commerce application with admin/blog/announcement features using Node/Express and AWS S3, emphasizing security via expiring presigned URLs. Also has strong distributed-systems fundamentals from implementing the Raft consensus algorithm (replication logs, majority acks, leader elections) and has created build automation tools (GNU Makefiles/scripts) to streamline team workflows.

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VP

Vishesh Patel

Screened

Junior AI/ML Engineer specializing in Python ML, NLP, and model deployment

Piscataway, New Jersey3y exp
Fairfield UniversityFairfield University

Built and productionized a real-time social-media sentiment analysis system used by a marketing team to monitor brand/campaign performance. Experienced in orchestrating LLM workflows with LangChain (validation → prompting → parsing → post-processing), plus monitoring, retraining, and RAG-style retrieval using embeddings/vector stores to keep outputs reliable over time.

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