.png){kind=logo}
Vetted Flask Professionals
Pre-screened and vetted.
Christopher Kanten
Senior Backend Engineer specializing in Node.js, Java, and regulated SaaS platforms
“Built a production LLM-powered root cause analysis agent for supply chain alerts that helped operations managers avoid manual dashboard investigation. Demonstrates unusually strong depth in agent reliability, orchestration, and observability, with concrete production practices like hallucination blocking, shadow testing on 500 cases, and data-driven improvements that raised user agreement to 94% while cutting GPT-4 usage by 60%.”
Christopher Chu
Senior Backend Engineer specializing in distributed systems and cloud microservices
“Backend/data engineer with experience at Nike building high-volume order orchestration and validation APIs using FastAPI microservices on AWS EKS with Kafka, Redis, and Postgres. Strong in production reliability (timeouts/retries/idempotency), GitOps (Argo CD) + Terraform deployments, and data pipelines (AWS Glue/S3), with hands-on incident ownership and legacy modernization into API-driven services.”
Harish Kasu
Mid-level AI/ML Engineer specializing in Generative AI, RAG, and MLOps
“AI/LLM engineer with production experience at NVIDIA and Microsoft, including building a RAG-based enterprise knowledge assistant that improved accuracy by 42% and scaled to thousands of queries. Deep in inference optimization (TensorRT-LLM, Triton, quantization, speculative decoding) and MLOps/observability (Prometheus/Grafana, MLflow, LangSmith), plus orchestration with Kubeflow/Airflow across multi-cloud.”
Yishi Wang
Junior Machine Learning & Data Science professional specializing in LLMs and analytics
“Amazon internship experience building production GenAI analytics for the returns organization: a multi-agent LLM+RAG system that let analysts query multiple heterogeneous data sources in natural language without hand-written SQL. Also built and operationalized four Apache Airflow DAGs for large-scale ETL, emphasizing observability and freshness-aware metadata to keep outputs accurate and up to date.”
Mid-Level Software Engineer specializing in cloud-native backend systems and FinTech
Senior Full-Stack Engineer specializing in scalable web platforms and AI-driven products
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices
Mid-level AI/ML Engineer specializing in LLMs, RAG, and distributed MLOps
Senior Full-Stack Software Engineer specializing in scalable web and mobile applications
Senior Full-Stack Platform Engineer specializing in scalable cloud systems and AI integrations
Director-level Backend & Data Engineering Leader specializing in AWS serverless platforms
Senior Full-Stack Software Engineer specializing in cloud-native microservices and AI platforms
Senior Full-Stack Software Engineer specializing in cloud-native web applications
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and scalable GPU inference
Intern Machine Learning Engineer specializing in LLMs, RAG, and model quantization
Senior Full-Stack Engineer specializing in AI-powered SaaS and cloud-native analytics
Senior Full-Stack AI/ML Engineer specializing in cloud data platforms and GenAI
Mid-Level Full-Stack Software Engineer specializing in Python/Java microservices and cloud
Mid-level AI/ML Engineer specializing in LLMs, RAG, and production MLOps
Senior Applied AI Engineer specializing in LLMs, NLP, and production AI systems
Senior Python Developer specializing in AI/ML and cloud-native microservices
Senior Software Engineer specializing in cloud-native distributed systems
Senior Software Engineer specializing in Python, APIs, and cloud-native integrations