Vetted FastAPI Professionals

Felipe Icaza

Screened ReferencesStrong rec.

Senior Full-Stack Developer specializing in React/Next.js and NestJS

Toronto, ON4y exp

“Frontend-focused full-stack engineer who built and shipped Atlas Link (atlaslink.io), an ops/admin dashboard for an alumni directory designed to scale across clients and large datasets. Strong on architecture boundaries, typed API contracts, and performance-heavy table UIs, with a rigorous testing approach (TypeScript/Jest/React Testing Library) and experience modernizing a legacy ASP.NET MVC app with a new component layer and cleaned-up CSS system.”

“Built and deployed a production bilingual (Bengali/English) AI virtual assistant that replaced IVR for telecom customer service at massive scale (~15M users), integrating ASR/TTS, Rasa dialogue management, and custom NLP. Overcame low-resource Bengali data and noisy call-center audio with synthetic data augmentation and transformer fine-tuning, achieving significant production gains including ~50% reduction in support calls.”

“Built and shipped an AI-powered journaling app feature that analyzes user text for emotions in real time, owning everything from React/TypeScript UX (dynamic theming + Framer Motion) to a FastAPI backend integrating Hugging Face. Has hands-on production experience deploying Dockerized services on AWS (EC2/RDS/S3/CloudWatch) with GitHub Actions CI/CD, and resolved a real latency/scaling incident by converting blocking external API calls to async with retries/timeouts.”

Muhammad Murtaza Murtaza

Screened

Mid-level Machine Learning Engineer specializing in NLP, Computer Vision & Predictive Analytics

Islamabad, Pakistan5y exp

“Built a production LLM fine-tuning pipeline for domain-specific code generation at Pigeonbyte Technologies, including automated collection and rigorous quality filtering of 10M+ code samples (AST validation, sandbox execution/testing, deduplication, drift monitoring, and human-in-the-loop review). Also implemented end-to-end ML orchestration in Apache Airflow with data quality gates, dataset versioning in S3, benchmarking, and automated model promotion, and has a reliability-first approach to agent/workflow design.”

“Robotics engineer who built an educational/research robotic arm end-to-end, including IK/FK math, simulation-based validation, and ROS2 Humble integration with multiple teleoperation inputs (DualSense and Leap Motion). Also optimized a resource-constrained ESP32-S3 wireless maze robot to stream real-time video and sensor data over WiFi using TCP/HTTP with RTOS-based concurrency and binary struct packing.”

“Early engineering hire at The Coaching Market (B2B2C e-learning startup) who owned re-engineering core REST APIs (FastAPI) and shipping an enhanced Next.js UI, plus automating most deployments via CircleCI/Vercel. Strong in data-driven iteration (surveys/Jira/Slack + Google Analytics, A/B tests) and reliability/performance improvements with measurable impact (30% less downtime, 40% faster releases, 25% faster loads).”

Mohammad Khaja Faizan

Screened

Junior Backend Software Engineer specializing in API-driven systems

Corpus Christi, TX2y exp

“Backend engineer focused on Python/FastAPI who has designed and evolved an API-driven platform with an emphasis on clean contracts, data integrity, and scalable service boundaries. Demonstrated production-minded reliability work by addressing partial writes/retry failure modes with idempotency and validation, eliminating duplicate/corrupted records, and has implemented layered security including Supabase-managed auth, RBAC, and row-level security.”

Hitha Sunkara

Screened

Junior Full-Stack Developer specializing in web apps and machine learning

Long Beach, CA3y exp

“Built and organized SQL databases for a grocery pricing update backend and has hands-on experience designing FastAPI/Python APIs with security controls like authentication, RBAC, and strict validation. Also brings research experience identifying real-world failure modes (weather-driven sensor/model inaccuracies in MSE wall corrosion work) and adapting models to improve robustness, plus UI design support on an email-restricted campus hackathon enrollment flow.”

Kolby Kalafut

Screened

Senior Full-Stack Engineer specializing in e-commerce and operations platforms

Dallas, TX8y exp

“Sole software engineer for an ecommerce operation who ships and operates full-stack products end-to-end. Built a production AI voice agent integrated with Shopify and internal systems that now handles 4,000+ customer calls/month, plus a branded mobile app credited with $4M+ in sales and a self-serve returns/warehouse platform with strong React/TS UX and robust AWS operations.”

“Hands-on automation and QA-focused developer using AI agents, MCP tools, and LLMs to streamline business workflows. Built agents for automated Jira bug logging, executive summary dashboards, and a rule-explainer that translates technical business rules into plain language for end users, while also supporting Selenium-to-Playwright migration and guiding peers on AI implementation.”

“Software engineer actively using AI-first development workflows, including Cursor, prompt engineering, and multi-agent setups, to dramatically compress development time. Most notably, they say they built a Regression Optimizer product end-to-end from scratch and used multi-agent approaches to improve troubleshooting and response quality.”

“Built and deployed an LLM-powered automation pipeline that ingests voice and documents, transcribes/extracts key information into structured data, and routes it through backend workflows using Python/FastAPI. Uses n8n to orchestrate multi-step AI processes with validation, retries, and monitoring, and iterates with stakeholders via rapid demos to refine changing requirements.”

Muhammad Midhat

Screened

Senior Full-Stack/Backend Engineer specializing in APIs, distributed systems, and AI integrations

9y exp

“AI/backend engineer who has built and scaled production LLM-powered SaaS features (document assistant + compliance review agent) on a Node.js/TypeScript + Postgres/Redis stack deployed to GCP Kubernetes. Demonstrates strong production reliability chops—async queueing, autoscaling, observability, and database tuning—with quantified wins (p95 latency -60%, query 4s to <200ms) and robust AI guardrails (strict RAG, schema validation, citations, HITL).”

Sarang Pratham

Screened

Junior Software Engineer specializing in data engineering and GenAI

Kundapur, India3y exp

“Built and deployed a production LLM-powered recruitment chatbot that automates key recruiting steps (sourcing, candidate engagement, screening). Strong in agent orchestration with LangGraph, including guided graph-based workflows, context-aware routing, and reliability measures like clarifying steps plus human-in-the-loop evaluation.”

Rasheed Samady

Screened

Entry-level AI Engineer specializing in automation and ML platforms

San Francisco, CA0y exp

“Built a production Python lead intelligence pipeline that combined external APIs, website crawling, and automated opportunity brief generation, with strong emphasis on reliability, observability, and recovery. Also has hands-on Playwright experience hardening flaky, dynamic web automations and reducing intermittent failures to under 5% through logging, screenshots, session management, and retry strategies.”

“Backend/data engineer with hands-on production experience building a FastAPI Python service on AWS for real-time AI workflows (Postgres/Redis, containers behind API Gateway) with strong reliability practices (JWT auth, timeouts/retries, health checks). Has delivered AWS infrastructure using Terraform + GitHub Actions across environments, built Glue ETL pipelines into Snowflake with idempotent recovery, and modernized legacy batch workflows via parallel-run parity validation and phased cutovers.”

Aldrin Azucena

Screened

Mid-level Full-Stack Software Developer specializing in web apps, CI/CD, and cloud infrastructure

Lethbridge, Alberta, Canada4y exp

“Frontend engineer (~4 years) who led an admin dashboard for potato farmers end-to-end, integrating real-time and historical weather data to drive disease-severity predictions. Built scientifically validated calculation pipelines (FAO Penman-Monteith, late blight models), rigorous Cypress/unit testing, and print/PDF-ready reporting, while optimizing performance and API load with debouncing, caching, and feature-flagged rollouts.”

“AI engineer with hands-on experience shipping production systems across semantic search, RAG/LLM applications, and computer vision. Built a personalized e-commerce search platform with measurable relevance and latency gains, and deployed grounded GenAI chat systems that significantly reduced hallucinations while lowering support burden. Also brings edge-deployment experience in monocular depth estimation and 3D reconstruction, suggesting strong breadth across modern applied AI.”

“New-grad software engineer who built a real-world smart-city traffic camera/operations dashboard pitched to Peachtree Corners, GA, integrating Bosch cameras with an MQTT/Node-RED/InfluxDB pipeline and Grafana visualizations. Implemented rule-based alerts (including SMS dispatch for janitorial cleaning) and improved production reliability with queuing, redundancy, monitoring, and load testing, reaching ~99% message delivery. Actively seeking onsite, customer-facing roles with travel.”

“Built a Smart Resume Screening tool with a React frontend and a Python backend, owning most backend architecture and delivery. Implemented FastAPI endpoints for file upload and NLP/ML inference, created the end-to-end resume classification pipeline, logged predictions to a database for accuracy tracking, and deployed a Dockerized service optimized for low-latency, concurrent processing.”

“Early-career full-stack engineer who has not yet shipped a professional customer-facing product but has built sophisticated AI-driven systems in personal/academic work, including a multi-tenant AI knowledge base (async ingestion, pgvector semantic search, SSE real-time updates, knowledge graphs) and an AI-powered code review assistant designed to process thousands of jobs via Redis/BullMQ.”