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Vetted Flask Professionals
Pre-screened and vetted.
Mid-level Software Engineer specializing in backend systems, cloud microservices, and AI-driven automation
Junior Full-Stack Software Engineer specializing in Real Estate SaaS and AI automation
Mid-Level Full-Stack Software Engineer specializing in cloud microservices and LLM/RAG systems
Mid-level AI/ML Engineer specializing in NLP, RAG, and agentic AI
Mid-Level Full-Stack Software Engineer specializing in FinTech and AI risk scoring
Senior Full-Stack & AI/ML Engineer specializing in cloud-native platforms and LLM systems
Mid-Level Full-Stack Software Engineer specializing in Java/Spring Boot and React
Intern Data Scientist specializing in NLP and Large Language Models
Mid-level Full-Stack Developer specializing in FinTech and fraud detection
Mid-level AI/ML Engineer and Developer Educator specializing in GenAI, RAG, and AI community building
Senior Machine Learning Engineer specializing in NLP, Generative AI, and healthcare/legal AI
Senior Applications Engineer specializing in ERP Financial Systems and GenAI automation
Junior Full-Stack Software Engineer specializing in SaaS and AI-powered web apps
Mid-Level Software Engineer specializing in AI platforms and backend systems
Mid-level Data Engineer specializing in cloud lakehouse and streaming pipelines
Longyang Xu
Junior Full-Stack Software Engineer specializing in cloud microservices and ML-driven products
“Backend engineer with hands-on ownership of Python/Flask microservices and recommendation systems across edtech and telecom. Deployed and operated real-time personalization/recommendation platforms on AWS EKS with Jenkins-based CI/CD, GitOps-style declarative configs, and strong observability practices. Has migration experience moving legacy mixed environments to modern containerized Kubernetes and built Kafka pipelines feeding ML services while managing schema evolution.”
Hari Kiran Reddy Rommala
Mid-Level Full-Stack Software Engineer specializing in cloud-native data platforms
“LLM/agentic systems practitioner who specializes in moving customer prototypes into production within microservices environments, emphasizing reliability, latency, security, and measurable success metrics. Experienced in real-time troubleshooting using logs/traces and in enabling adoption through hands-on developer workshops (including live coding in Java Spring Boot) and pre-sales POCs that address technical objections and integration risk.”
Swastik Chowdhury
Mid-level Data Engineer specializing in cloud data platforms and real-time streaming
“Worked on onboarding a Middle East logistics client processing thousands of invoices/month, building a production-ready pipeline that routes known vendor PDFs to deterministic regex parsers via Tax ID matching and falls back to LlamaParse for unknown layouts. Added financial consistency validation plus human-in-the-loop review and logging/metrics to continuously reduce LLM usage and improve template coverage.”
Jenny Cheng
Junior Full-Stack/ML Engineer specializing in LLM applications and cloud deployment
“Full-stack developer with capstone and project experience delivering production-ready systems in unstructured environments, including a Faculty Tracking system for real departmental use. Strong in React performance debugging (re-render optimization with useMemo), Prisma-backed multi-database setups (MySQL local / SQL Server production on a UCI Health VM), and end-user support workflows that feed back into improved Help documentation.”
Abhyush Rajak
Mid-level Backend Software Engineer specializing in FinTech APIs and microservices
“Backend/event-driven systems engineer who built an end-to-end “software robot” for AI-driven invoice processing: FastAPI ingestion + OCR integration + classification mapping, with strong emphasis on reliability (idempotency, retries) and scalability (background workers, event-driven architecture). Experienced in production-grade distributed systems tooling (Kafka, Docker/Kubernetes, GitHub Actions, ArgoCD) and real-time debugging via tracing/telemetry, and expects $10k–$12k/month.”