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Vetted Flask Professionals
Pre-screened and vetted.
Director-level Technical Leader specializing in healthcare IT, e-commerce automation, and crypto data platforms
Mid-level Python Backend Engineer specializing in microservices and AWS
Junior Software Engineer specializing in AI/ML, data pipelines, and real-time dashboards
Mid-level AI Engineer specializing in LLMs, RAG, and enterprise compliance & fraud 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
Mid-level Machine Learning Engineer specializing in Generative AI and healthcare NLP
Austin Hall
Entry-Level Full-Stack Software Engineer specializing in web applications and APIs
“Backend engineer who built and evolved ConGreG8 end-to-end: a stateless Node/Express REST API on MongoDB for fast, location-based church discovery. Demonstrates strong performance and operability discipline (instrumentation, p95 latency, slow-query analysis) with a reported ~30% response-time improvement, plus security depth via JWT/OAuth and Supabase-style row-level security. Experienced in safe refactors with contract preservation, dual-read validation, and incremental rollouts.”
Abdul Wahid Jahangir
Junior Software Engineer specializing in full-stack web and e-commerce automation
“Full-stack engineer who built an end-to-end Next.js + Flask admin platform for Ciocca S.p.a., now used daily by 100+ employees for operations and warehouse workflows. Strong in performance tuning (API redesign, query optimization), secure RBAC, background job offloading, and integrating AI-powered internal tools that automate reporting and reduce manual workload.”
Saif Sarhan
Entry Python Backend Engineer specializing in AI automation and scalable APIs
“Built a solo full-stack equipment manager app for the game Dragon's Dogma, scraping a wiki with Beautiful Soup, transforming data to JSON, modeling armor/weapon schemas, and integrating everything into a PostgreSQL-backed API with caching. Dockerized and deployed the application to the web.”
Junior Data Scientist/Data Analyst specializing in machine learning and business intelligence
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).”
Mid-Level Full-Stack Developer specializing in Python/FastAPI and React
Junior Full-Stack Data Engineer specializing in data pipelines and analytics
Junior Full-Stack Software Engineer specializing in React/Next.js and TypeScript
Mid-Level Full-Stack Software Engineer specializing in automation and self-hosted infrastructure
Entry-Level Full-Stack Software Engineer specializing in backend systems and cloud deployment