.png){kind=logo}
Vetted pandas Professionals
Pre-screened and vetted.
Mid-level Software Engineer specializing in Generative AI and cloud-native microservices
Mid-level Generative AI Engineer specializing in LLMs, RAG, and MLOps
Mid-level Full-Stack Developer specializing in React, Node.js, and AI automation
Entry-Level Software Engineer specializing in full-stack JavaScript and machine learning
Mid-level Database Developer specializing in SQL, ETL, and cloud data platforms
Entry-Level Software Engineer specializing in healthcare data and AI-enabled tools
Mid-level AI/ML Engineer specializing in fraud detection, credit risk, and NLP
Senior Data Scientist / ML Engineer specializing in NLP, speech AI, and computer vision
Junior Full-Stack Software Engineer specializing in Python/React and AI-powered web apps
Intern Full-Stack Software Engineer specializing in Node.js, AWS, and scalable backend systems
Mid-level AI/ML Engineer specializing in Generative AI, NLP, and RAG systems
Junior Machine Learning Engineer specializing in Generative AI and LLM agents
Mid-level Generative AI Engineer specializing in LLMs, RAG, and agentic systems
Mid-level AI & Data Science professional specializing in MLOps, deep learning, and UAV research
Junior Full-Stack Developer specializing in AI integrations and LLM research
Mid-level AI/ML Research Engineer specializing in NLP, LLM agents, and multimodal systems
Junior Full-Stack Developer specializing in Django/React and cloud-native APIs
Jeevan Kumar
Mid-level Full-Stack AI Engineer specializing in LLM systems and RAG
“Built and shipped a production "Campaign AI" multi-agent system (LangGraph) that personalizes B2B outbound emails at scale using Apollo.io prospect data, clustering-based segmentation, and 21 persona variants. Notably uncovered that high click rates were largely email security scanners and created a validated bot-detection/scoring pipeline (timestamps/IP/user-agent/click patterns), bringing reported engagement down from ~40% to a trusted 5–8% that aligned with real conversions.”
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.”
Hashir Umar
Senior Full-Stack Software Engineer specializing in AWS, TypeScript, and scalable microservices
“Frontend engineer who led the end-to-end UI for a virtual trivia/multiplayer game, including architecture (component-driven + design system), quality practices (TypeScript, linting/formatting, unit + E2E tests), and real-time synchronization for ~100 concurrent players using Pusher. Emphasizes pixel-perfect, mobile-first responsive delivery with Tailwind and design tokens, plus ongoing refactors for reusability and performance.”