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Vetted Matplotlib Professionals
Pre-screened and vetted.
Mid-level Data Scientist specializing in ML, data engineering, and real-time analytics
Mid-level MLOps/ML Engineer specializing in LLMs and financial risk modeling
Junior Full-Stack Software Engineer specializing in Node.js, Django, and cloud microservices
Mid-level Data Scientist specializing in Generative AI, RAG systems, and MLOps
Mid-Level Full-Stack Developer specializing in MERN and AR/VR applications
Intern Full-Stack Developer specializing in AI and web applications
Mid-level Software Engineer specializing in AI and cloud-native data platforms
Mid-level Software Engineer specializing in backend, full-stack, and network automation
Mid-level Machine Learning Engineer specializing in LLMs, Generative AI, and MLOps
Senior Data Scientist and Machine Learning Researcher specializing in NLP, LLMs, and MLOps
Mid-level AI/ML Engineer specializing in Generative AI and RAG assistants
Mid-level Data Analyst specializing in BI, ETL, and cloud analytics
Mid-level Machine Learning Engineer specializing in healthcare and financial AI
Mid-level Full-Stack Software Engineer specializing in cloud-native and AI-powered systems
Sahil Gupta
Junior AI Software Engineer specializing in LLM agents, RAG, and healthcare NLP
“Backend engineer who built an agentic LLM system for private equity/finance that answers questions over enterprise contracts and documents using a vector-db RAG pipeline. Differentiator is a trust-focused citation framework (with highlighted source text) to reduce hallucinations in high-stakes workflows, plus strong DevOps experience deploying microservices on Kubernetes with Helm/GitOps and building Kafka real-time pipelines.”
Priyanka Ramesh
Junior Full-Stack Software Engineer specializing in Java/Spring Boot and React
“Backend engineer (IpserLab) who owned Python services for a production quiz/analytics platform, focusing on reliability and low-latency behavior under peak load. Hands-on with Kubernetes + Docker deployments and GitHub Actions CI/CD in a GitOps-style workflow, including solving configuration drift and enabling fast rollbacks. Also implemented Kafka-based event streaming with idempotent consumers and strong observability (lag tracking, structured logging, alerting).”
Tanweer Ashif
Mid-level AI/ML Engineer and Data Scientist specializing in LLMs and MLOps
“Data science/AI intern at University at Buffalo Business Services who built and deployed production systems spanning classic ML and LLM assistants. Delivered real-time competitor intelligence for a Cornell-partnered, $1B beverage launch by scraping/cleaning 5,000+ SKUs and deploying models via API, then built a domain-aware LLM assistant to modernize Excel-based workflows with strong grounding, privacy controls, and sub-5s latency.”
Shashank Chauhan
Mid-level Software Engineer specializing in AI/ML and cloud data platforms
“ML engineer with hands-on experience taking a Gaussian Process Regression-based intelligent survey timing system from build to real-world deployment, including a 3-week RCT on 120 participants and measurable improvements (15% response rate, 23% data quality). Also served as a key technical resource at CData for customer-facing demos and debugging hundreds of production issues, bridging engineering with Sales and Customer Success.”