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Vetted pandas Professionals
Pre-screened and vetted.
Senior Full-Stack Software Engineer specializing in web platforms and AI/ML-enabled services
Mid-level Data Scientist / GenAI & ML Engineer specializing in LLM apps and MLOps
Senior Python Backend Engineer specializing in cloud-native SaaS and microservices
Senior Full-Stack Developer specializing in cloud-native microservices and AI-driven healthcare apps
Senior Full-Stack Python Engineer specializing in cloud microservices and AI/LLM systems
Senior Full-Stack Python Engineer specializing in trading and FinTech platforms
Senior Full-Stack Engineer specializing in AI/ML product engineering
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Mid-level AI/ML Engineer specializing in Generative AI, LLMs, and scalable inference
Mid-level Full-Stack Software Engineer specializing in FinTech analytics and security
Junior AI/ML Software Engineer specializing in NLP, LLM evaluation, and recommendation systems
Senior Full-Stack Software Engineer specializing in FinTech payments and risk systems
Mid-level AI/ML Engineer specializing in generative AI, LLMs, and MLOps
Mid-level Software Engineer specializing in backend APIs, data pipelines, and cloud microservices
Mid-level Applied AI Engineer specializing in LLMs, MLOps, and real-time AI systems
Mid-level Machine Learning Engineer specializing in Generative AI and LLM applications
Noelle Keto
Intern/Student Software Engineer specializing in full-stack development, AI/ML, and quantitative finance
“Software engineering intern who built an internal AI-agent automation using the Gemini API to reduce manual CRM data entry, iterating prompts closely with analysts to address precision concerns. Also worked on a medical image-diagnostics LLM project involving fine-tuning and benchmarking multiple model approaches, and has quant/sales-trading experience building automated pricers for complex options and persuading sales teams to adopt them with ROI-focused metrics.”
Prasanth Peddireddy
Entry-level Supply Chain & Test Engineer specializing in warehouse automation and robotics
“P&G operator who is also building and selling an AI receptionist (voice agent) SaaS for healthcare/service clinics, using EHR + calendar API compatibility to target accounts and letting the Voice AI run parts of the demo to prove value. Has already closed and deployed to two clients in the last two months, with production impact via reduced front-desk overhead and automated scheduling/FAQs, and brings a structured, scalable deployment/process mindset from global WMS rollouts.”