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Vetted Matplotlib Professionals
Pre-screened and vetted.
Principal Data Scientist specializing in Generative AI, LLMs, and ML platforms
Mid-level Data Scientist specializing in customer analytics, ML pipelines, and churn forecasting
Junior Full-Stack/AI Engineer specializing in mobile apps, data pipelines, and agentic systems
Mid-level AI/ML Engineer specializing in GenAI, RAG, and cloud-native ML platforms
Mid-level AI/ML Engineer specializing in recommender systems, NLP, and MLOps
Mid-level AI/ML Engineer specializing in NLP, RAG, and agentic AI
Mid-level AI/ML Data Engineer specializing in analytics, ML pipelines, and LLM applications
Mid-level AI Data Scientist specializing in financial risk, fraud detection, and NLP/LLM systems
Mid-level Data Scientist specializing in marketing analytics and scalable data platforms
Senior Data Scientist specializing in Generative AI, NLP, and MLOps
Senior Machine Learning Engineer specializing in NLP, Generative AI, and healthcare/legal AI
VP Data Engineer specializing in AI-driven analytics platforms for investment management
Senior AI Platform Engineer specializing in agentic AI and RAG systems
Senior AI/ML Engineer specializing in GenAI, LLMs, NLP, and MLOps
JYOTHI N
Senior Data Scientist specializing in analytics, experimentation, and BI on AWS
“Data/ML practitioner focused on healthcare data quality and record linkage: analyzed 10M+ records, built anomaly detection and NLP-driven entity resolution, and automated AWS ETL/validation pipelines (Glue/Redshift/Lambda), cutting data errors by 40% and generating $500k in annual savings. Has hands-on experience with embeddings (Sentence Transformers/spaCy), FAISS vector search, and fine-tuning for domain-specific matching.”
Samuel Ehrenstein
Mid-level Computer Vision & ML Researcher specializing in medical imaging and 3D vision
“PhD (CS) candidate with hands-on autonomy and robotics experience: improved safety-critical behavior for Kodiak’s self-driving 18-wheeler trucks, increasing overtaking clearance by ~2 feet and reducing safety alerts. Also debugged a C++ SLAM system for 3D colon reconstruction and built a low-budget distributed simulation cluster using Linux, Docker, and Python, plus implemented multi-hop SSH-based comms for an underwater robotics competition minibot.”
Vikas Kathuria
Senior Software Engineer specializing in Cloud, Zero Trust, and Enterprise Platforms
“Zero Trust security product lead focused on UI/API delivery, stability, and customer adoption at enterprise scale, including deployments serving 1200 customers. Stands out for hands-on production debugging across the full stack, customer-facing incident ownership, and a pragmatic approach to turning failures into automated regression coverage.”
Shankar Koduvayur Ramaswami
Mid-level Machine Learning Engineer specializing in industrial deep learning and predictive control
“AI engineer building and deploying deep-learning-based optimization/control systems for petrochemical plants, with a focus on maintaining operational stability under real-world constraints. Core contributor to model and inference design; introduced a stability-focused non-linear objective and sped up second-layer optimization via on-the-fly first-order approximations. Experienced using Kubernetes for end-to-end testing and effective in translating customer expectations into measurable evaluation plots for non-technical stakeholders.”