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Vetted Matplotlib Professionals
Pre-screened and vetted.
Mid-level Full-Stack Software Engineer specializing in cloud-native AI and enterprise platforms
Mid-level Software Engineer specializing in Java microservices and cloud-native systems
Mid-Level Full-Stack Software Engineer specializing in SaaS logistics and cloud-native systems
Mid-level AI/ML Engineer specializing in LLMs, RAG, and agentic AI systems
Entry-Level Software Engineer specializing in full-stack and data engineering
Junior Data Scientist specializing in cybersecurity and AI/ML
Intern Data Scientist / ML Engineer specializing in predictive modeling and data pipelines
Mid-level AI/ML Engineer specializing in cloud AI, MLOps, and NLP
Mid-level Data Analyst specializing in marketing analytics and machine learning
Mid-level Applied AI Engineer specializing in LLM agents and RAG systems
Mid-level Data Scientist specializing in predictive modeling and applied mathematics
Senior Full-Stack Engineer specializing in growth, analytics, and funnel optimization
Entry-level Full-Stack Developer specializing in AI/ML and web applications
Swarag Reddy Pingili
Junior AI/ML Software Engineer specializing in LLM agents and RAG systems
“AI/back-end engineer at Canon who helped build and operate an internal production LLM platform that acts as a secure middle layer between users and models, defending against jailbreaks/prompt injection while enabling RAG, memory, and grounded responses over company data. Experienced with LangChain/LangGraph orchestration, vector DB retrieval, and reliability practices (testing, monitoring, adversarial prompts) to run high-throughput, low-latency AI workflows in production.”
Maneesh Ujji
Junior Machine Learning & Data Science professional specializing in AI agents and applied ML
“IT Analyst/research background with hands-on experience deploying and hardening a multi-agent AI support/triage system (ticket ingestion + knowledge-base retrieval) with strong emphasis on reliability and observability. Has debugged real production issues spanning backend services and network latency (sync failures/partial writes) and is comfortable in Linux environments; also has academic exposure to robotics simulation and ROS2.”
Pranava Reddy Kothapally
Junior Data Engineer specializing in Azure, CRM data pipelines, and marketing personalization
“LLM/AI engineer who has deployed production RAG conversational analytics and Text-to-SQL systems over Snowflake and curated data marts, emphasizing enterprise-grade guardrails for accuracy, security, and cost. Notable for a structured approach to reducing hallucinations (curated metric/table registry, SQL validation, RBAC, and citation-backed responses) and for building resilient, observable multi-step agent workflows using LangChain/LlamaIndex and Airflow.”
Swapnil Ramanna
Mid-level Data Scientist specializing in Generative AI and Healthcare Analytics
“Built a LangGraph-based, tool-routing LLM chatbot to deliver fast, trustworthy investment-stock insights (including tariff impact) and deployed it to production on Snowflake after initially developing in Azure with AI Search and the Microsoft Agent Framework. Improved routing robustness by moving from LLM-based decisions to a deterministic router backed by schema-relationship graphs and YAML metadata, and ran the project iteratively with non-technical stakeholders over an 8-month engagement.”