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Andrii MendelAM

Andrii Mendel

Freelance AI/ML & Conversational AI Developer

€1,751/day
Toronto, CA
8-15 years

Average response time: 1 hour

About Andrii

  • English

    Native or bilingual

  • Spanish

    Conversational

Remote only
Primarily works remotely

Experience

  • Freelance
    Back-End & Cloud Engineer
    January 2013 - Today (13 years and 6 months)
    Cordova, Memphis, TN, USA
    • • Designed and deployed a multi-tenant shipment tracking platform for a mid-size logistics company serving 8,500+ daily active users across the U.S. and Canada, built on Node.js, Express, PostgreSQL, and Redis; reduced average query response time by 43% through query optimization and read replica routing.
    • • Built a HIPAA-compliant appointment and billing API for a regional telehealth provider using Python/FastAPI, PostgreSQL, and AWS RDS, integrating with Stripe for co-pay processing and Twilio for SMS appointment reminders.
    • • Architected an event-driven order processing pipeline on AWS (SQS, Lambda, DynamoDB) capable of handling 150,000+ order events per day for a regional e-commerce fulfillment client; achieved 99.97% uptime over 18 months.
    • • Developed and maintained RESTful and GraphQL APIs consumed by web and mobile front-ends across 20+ client projects; wrote OpenAPI specs and maintained Postman collections for each.
    • • Led migration of a monolithic PHP/MySQL application to a containerized Node.js/PostgreSQL microservices architecture on AWS ECS, cutting deployment time from 2 hours to under 8 minutes via GitHub Actions CI/CD.
    • • Maintained a 4.94/5.0 average rating on Upwork across 180+ completed contracts over ten years of active freelancing.
    Stack: Node.js
    ◦ · Express
    ◦ · Python
    ◦ · FastAPI
    ◦ · Go
    ◦ · PostgreSQL
    ◦ · MySQL
    ◦ · RDS, SQS, Lambda, ECS
  • Free Freelancing
    Freelance AI/ML & Conversational AI Developer
    September 2020 - Today (5 years and 10 months)
    Cordova, Memphis, TN, USA
    • • Built a WhatsApp-based AI customer support chatbot for a regional insurance brokerage using Twilio, GPT-4o, and LangChain with intent classification, dynamic human-handoff routing, and session state management via Redis; reduced inbound support ticket volume by 34% within the first two months of deployment.
    • • Developed a voice AI assistant for a healthcare scheduling provider using OpenAI Whisper (STT) and TTS, integrated with Twilio Programmable Voice and a custom NestJS orchestration layer; handled 1,200+ automated appointment bookings per month with a 91% task completion rate.
    • • Architected a multi-stage RAG pipeline against a proprietary product knowledge base using LangChain, Pinecone, and pgvector, enabling semantic search and Q&A; over 30GB+ of technical documentation for an enterprise manufacturing client.
    • • Implemented LLM-powered document processing workflows (contract parsing, invoice extraction, summarization) using GPT-4o with structured output and function calling, integrated into existing back-end systems via REST
    APIs.
    • • Built and deployed a multi-agent task orchestration system using LangGraph for an operations automation client, coordinating research, drafting, and review agents with human-in-the-loop checkpoints.
    • • Fine-tuned and evaluated open-source models (Llama 3, Mistral) using QLoRA on AWS SageMaker for domain-specific classification tasks; reduced inference cost by 60% versus GPT-4 equivalents with comparable accuracy on target benchmarks.
    Stack: Python
    ◦ · LangChain
    ◦ · LangGraph
    ◦ · OpenAI API (GPT-4o, Whisper)
    ◦ · Pinecone
    ◦ · pgvector
    ◦ · Twilio (WhatsApp, Voice)
    ◦ · AWS SageMaker
    ◦ · Hugging Face
    ◦ · Redis
    ◦ · FastAPI
    ◦ · Node.js
    ◦ · NestJS
  • Free Freelancing
    Freelance DevOps & Infrastructure Engineer
    June 2016 - Today (10 years and 1 month)
    Cordova, Memphis, TN, USA
    • • Provisioned and managed cloud infrastructure for 15+ clients using Terraform and AWS CloudFormation; standardized IaC templates reduced onboarding time for new client environments by 60%.
    • • Configured and maintained Kubernetes clusters (EKS and self-managed) for two SaaS clients, implementing horizontal pod autoscaling and automated rollbacks that eliminated unplanned downtime during traffic spikes.
    • • Set up centralized observability stacks (Prometheus, Grafana, Loki) with PagerDuty alerting for three production environments; reduced mean time to resolution (MTTR) for P1 incidents from 47 minutes to under 12 minutes.
    • • Implemented zero-downtime blue/green and canary deployment strategies for a fintech client processing $2M+ in daily transactions, satisfying strict SLA and audit requirements.
    • • Conducted security hardening reviews and remediation for five client environments, addressing IAM misconfigurations, open security groups, and unencrypted S3 bucket policies.
    Stack: Kubernetes
    ◦ · Docker
    ◦ · Terraform
    ◦ · AWS (EKS, ECS, CloudFormation, IAM, CloudWatch)
    ◦ · GCP
    ◦ · Prometheus
    ◦ · Grafana
    ◦ · Loki
    ◦ · PagerDuty
    ◦ · GitHub Actions
    ◦ · Jenkins
    ◦ · Ansible

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Education

  • Bachelor of Science
    University of Memphis
    2011
    Bachelor of Science
  • Associate of Applied Science
    Southwest Tennessee Community College
    2009
    Associate of Applied Science

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