.png){kind=logo}
Vetted pandas Professionals
Pre-screened and vetted.
Intern AI/ML Software Engineer specializing in NLP and model serving
Junior Software Engineer specializing in Python microservices and AWS
Entry-Level UX Designer and Computer Science Graduate specializing in data-driven product design
Mid-level R&D Engineer specializing in applied AI, experimentation, and cloud-integrated prototypes
Junior Software Development Engineer specializing in cloud and full-stack development
Mid-level Python Developer specializing in cloud-native APIs and microservices
Intern Full-Stack Engineer specializing in web applications and FinTech tools
Intern Full-Stack Software Engineer specializing in web platforms and IoT
Junior Full-Stack Software Engineer specializing in Spring Boot, React, and mobile apps
Mid-level AI/ML Engineer specializing in LLMs and RAG 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
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).”