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Vetted Flask Professionals
Pre-screened and vetted.
Junior Full-Stack Software Engineer specializing in Python/React and AI-powered web apps
Junior Software Engineer specializing in data analytics and machine learning
Mid-level AI/ML Engineer specializing in Generative AI, NLP, and RAG systems
Senior Full-Stack Software Engineer specializing in web apps and distributed systems
Entry-Level Full-Stack Engineer specializing in backend APIs and cloud architectures
Junior Full-Stack Developer specializing in AI integrations and LLM research
Intern Full-Stack Software Engineer specializing in cloud deployment and data analytics
Mid-Level Software Engineer specializing in distributed microservices and cloud-native systems
Junior Full-Stack Engineer specializing in Next.js and modern web platforms
Mid-Level Full-Stack Software Engineer specializing in AI automation and RAG agents
Mid-level Back-End Engineer specializing in scalable APIs and multi-tenant systems
Mid-Level Full-Stack Software Engineer specializing in web apps and AI-powered tools
Junior Full-Stack Software Engineer specializing in cloud-native microservices
Intern Full-Stack Developer specializing in React, Node.js, and TypeScript
Junior Full-Stack Developer specializing in Django/React and cloud-native APIs
Intern software engineer specializing in AI, data science, and full-stack development
Mid-level Full-Stack AI Engineer specializing in agentic AI and RAG systems
Intern Software Engineer specializing in backend, AI, and full-stack web systems
Haeshitha Indukuri
Entry AI/ML Engineer specializing in Generative AI, LLMs, and MLOps
“Built and productionized a MediCloud/Medicoud LLM microservice platform that lets clinicians query medical data in natural language, orchestrating multi-step RAG-style workflows with LangChain and evaluating/debugging with LangSmith. Delivered measurable gains (consistency ~70%→90% / +20%; latency ~2.0s→1.1s / -40%) by implementing structured prompts, fallback logic across multiple LLMs, hybrid retrieval tuning, and AWS Lambda performance optimizations (package size, async, caching).”
Gabe Hoing
Intern-level software engineer specializing in full-stack and data systems
“Built an AI agent management system in a senior design project to support cybersecurity analysts with gathering and triaging emerging threat intelligence from sources like CISA. Stands out for a thoughtful, production-minded approach to AI development, using specialized agents, strict output schemas, and deterministic controls to manage failure cases.”
“Full-stack AI engineer who has built and deployed multiple end-to-end LLM products, including an AI interview assistant, a multi-agent market research platform, and a policy document explainer. Particularly strong in productionizing agentic workflows, integrating tools like Whisper, Tavus, LiveKit, CrewAI, and LangGraph, and hardening messy real-world AI/document pipelines with validation, memory isolation, and fallback handling.”