Vetted Flask Professionals

“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.”

“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.”

AungKaung Khant

Screened

Junior Software Engineer specializing in full-stack web and IoT development

Cupertino, CA3y exp

“Computer Science student and indie hacker who builds open-source products in public, including a Chrome extension called "Add to ChatGPT" that reached 30+ installs in its first week. Has hands-on experience with full-stack social platform development and AI-integrated side projects, with a strong pattern of self-teaching, rapid shipping, and iterative bug fixing.”

Shane Pearce

Screened

Mid-level IT and full-stack professional specializing in web development

Remote6y exp

“Built and owned a real-time browser-based messaging app for family users using Python, Flask, WebSockets, and Socket.io. Demonstrated hands-on debugging of client-server event issues, plus user-focused improvements like dark mode, mobile responsiveness, and separate display-name functionality driven by direct user requests.”

“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.”

Manas Kumar Sherla

Screened

Junior Machine Learning Engineer specializing in NLP and LLM-based clinical AI

Charleston, IL2y exp

“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).”

Rajan Yadav

Screened

Intern Software Development Engineer specializing in full-stack web development

Hyderabad, India0y exp

“Built Aviora, an AI voice conversational assistant, end-to-end as a zero-to-one product spanning product decisions, frontend, backend, deployment, and production monitoring. Particularly strong in turning AI capabilities into intuitive real-time user experiences, with hands-on work in voice UX, WebSocket reliability, and performance optimization for hundreds of active users.”

Rutvi Rathod

Screened

Junior Full-Stack Software Engineer specializing in AI and web applications

San Jose, CA1y exp

“LLM/AI backend engineer with hands-on experience taking customer LLM prototypes into production using FastAPI, containerization, CI/CD, and OpenTelemetry-based observability. Demonstrated measurable impact by cutting LLM costs ~40% and reducing workflow errors ~50% through schema-enforced outputs, better tool definitions, retries, and prompt/model optimization; also supports pre-sales via technical discovery and rapid integration demos.”

Tejaswini E

Screened

Entry-level Software Engineer specializing in computer science and applied ML/IoT

Bengaluru, India0y exp

“Built a community cleanliness reporting Android app focused on helping citizens and volunteers report illegal waste dumping through maps, image uploads, and real-time updates. Stands out for combining modern Android UI architecture, Firebase-backed real-time features, and practical performance tuning for lower-end devices while keeping the experience simple for general public users.”