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Vetted Matplotlib Professionals
Pre-screened and vetted.
Junior Data Systems Analyst specializing in ML, NLP, and cloud deployment
Mid-level AI/LLM Application Engineer specializing in RAG, agents, and Python/PyTorch
Mid-level AI/ML Engineer specializing in fraud detection, credit risk, and NLP/RAG
Junior Software Engineer specializing in computer vision and LLM-powered systems
Junior AI/ML Engineer specializing in LLMs, automation, and backend data pipelines
Junior Data Analyst specializing in analytics engineering and forecasting
Entry-Level Software Engineer specializing in full-stack JavaScript and machine learning
Junior Generative AI Engineer specializing in LLM systems and RAG
Mid-level Database Developer specializing in SQL, ETL, and cloud data platforms
Mid-level AI/ML Engineer specializing in fraud detection, credit risk, and NLP
Mid-level AI & Data Science professional specializing in MLOps, deep learning, and UAV research
Junior Full-Stack Developer specializing in Django/React and cloud-native APIs
Gabe Hoing
Intern-level software engineer specializing in full-stack and data systems
“Built an AI agent management system in a senior design project to support cybersecurity analysts with gathering and triaging emerging threat intelligence from sources like CISA. Stands out for a thoughtful, production-minded approach to AI development, using specialized agents, strict output schemas, and deterministic controls to manage failure cases.”
Mahaboob Johny
Mid-level Data Analyst specializing in SQL/Python analytics, ETL pipelines, and BI dashboards
“Data/AI practitioner who built a production LLM-driven healthcare claims analytics and dashboarding system to reduce avoidable ER visits—processing 1.4M+ claims, flagging 19% as non-emergent, and projecting ~$2.8M in annual savings. Demonstrates strong real-world LLM reliability and performance engineering (grounding, numeric validation, caching, materialized views, quantization) plus orchestration experience with Airflow and Azure Data Factory.”
Mahad Asif
Mid-level Game Developer specializing in Unity, AR/VR, and cross-platform products
“Exceptionally young game developer who says he began at age 10 and was employed as a Unity developer at 13. He has hands-on experience building gameplay systems, VR/Web/mobile projects, Photon multiplayer features, and AI/ML experiments—including an open-source protein-model research pipeline reportedly under peer review at PLOS ONE.”
Navleen Kaur
Entry-level Business Analyst specializing in data analytics and process improvement
“Analytics-focused candidate with experience turning messy operational and educational program data into validated reporting assets, dashboards, and AI-ready datasets. They stand out for pairing SQL/Python data preparation with rigorous validation and lightweight NLP on open-ended feedback, driving reported improvements in reporting efficiency, engagement, and student success outcomes.”
Sirisha Gadde
Intern Data Analyst specializing in analytics and machine learning
“FAU-based analytics candidate with hands-on academic project experience across SQL data preparation, Python/NLP sentiment analysis, and predictive modeling. They stand out for turning messy datasets into clean reporting tables, building reproducible analysis workflows, and translating findings into practical recommendations around operations, credit risk, and marketing ROI.”
Amer Pehlic
Junior Software Engineer specializing in Python data analysis and robotics
“Undergraduate Research Assistant at Virginia Commonwealth University with exposure to autonomous vehicle and UAV platforms in the Open Cyber City lab, assembling and setting up Duckiebots/Duckiedrones. Built introductory ROS 2 Python projects (ping-pong pub/sub and services) and has some experience setting up Docker for Duckietown-based robotics environments.”