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Vetted pandas Professionals
Pre-screened and vetted.
Senior AI/ML Engineer specializing in NLP, LLMs, speech, and computer vision
Intern Data Science and Web Development student specializing in machine learning
Senior AI/ML Engineer specializing in NLP, LLMs, speech, and computer vision
Senior Full-Stack Engineer specializing in Python, data platforms, and cloud systems
Mid-level Python Backend Engineer specializing in microservices and AWS
Junior Software Engineer specializing in AI/ML, data pipelines, and real-time dashboards
Junior Backend Engineer specializing in Python/Django and subscription-based systems
Mid-level Full-Stack Developer specializing in Python, React, and cloud-native microservices
Junior Full-Stack Software Engineer specializing in web apps, data visualization, and ML tooling
Senior AI/ML Engineer specializing in NLP, LLMs, speech, and computer vision
Mid-Level Software Engineer specializing in Java/Spring Boot microservices and cloud platforms
Shane Pearce
Mid-level IT and full-stack professional specializing in web development
“Built and owned a real-time browser-based messaging app for family users using Python, Flask, WebSockets, and Socket.io. Demonstrated hands-on debugging of client-server event issues, plus user-focused improvements like dark mode, mobile responsiveness, and separate display-name functionality driven by direct user requests.”
Junior Full-Stack Developer specializing in React, Node.js, and SQL
Junior Data Scientist/Data Analyst specializing in machine learning and business intelligence
Entry-level Sales Development Representative specializing in outbound prospecting and BANT qualification
Intern Full-Stack Software Engineer specializing in AI-powered applications
Maulik Maganbhai Ghatala
Entry Backend Software Engineer specializing in Python/FastAPI and cloud-native APIs
“Backend engineer who built and evolved a low-latency document search platform (C++/gRPC on Kubernetes with a vector database), emphasizing resilience under concurrent load through strict deadlines, retries, idempotency, and observability. Also experienced building secure, frontend-friendly FastAPI services (Pydantic + JWT) and executing safe incremental refactors using feature flags and parallel validation.”
Richa Chanpuriya
Mid-level Backend/Agentic AI Engineer specializing in GenAI automation and RAG systems
“Built and shipped a production AI-driven privacy automation system that autonomously navigates data broker sites to submit opt-out/data deletion requests end-to-end, including robust CAPTCHA detection/solving (e.g., reCAPTCHA/hCaptcha/Cloudflare) via 2Captcha. Experienced in orchestrating stateful LLM agent workflows with LangGraph and hardening them for production with strict state management, retries/fallbacks, validation layers, and database-backed observability/audit logs, collaborating closely with legal/compliance stakeholders.”
Manas Kumar Sherla
Junior Machine Learning Engineer specializing in NLP and LLM-based clinical AI
“Built a production automated resume matching system using Python, FAISS vector search, and Selenium-based job scraping, including mitigation for IP blocking and heterogeneous site structures. Also develops LLM/RAG applications with LangChain, using Pydantic-guardrailed structured outputs and LLM-as-a-judge evaluation (including a project focused on tone/semantics for a 3D avatar’s emotional responses).”