Mohammad El Prince

Hi, I'm

Mohammad El Prince

AI Engineer & Full-Stack Software Engineer

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About Me

Mohammad El Prince

Mohammad

Software Development at Amazon

I'm a software engineer with a data background who builds and ships production systems on AWS — retrieval-augmented and agentic AI applications, serverless platforms, and type-safe full-stack products. I own engineering end to end, from architecture through production.

Flexible with timezones

Based in Milton, ON, available globally

Certifications

Amazon Web Services

Certified

2 AWS certifications: AWS Solutions Architect Associate · AWS Cloud Practitioner

Available for work

Have a vision?Let's build it

together.

Resume
It's still Day 1.
Jeff Bezos
  • 15+Serverless applications shipped
  • 8+Locations served
  • 2+Years of experience
  • 20+Technologies

Experience

  1. Present

    AI Engineering Focus

    Amazon

    Extending serverless and backend expertise into AI engineering — RAG, LLM applications, agents, retrieval pipelines, tool calling, and evaluation.

    RAG · LLM Agents · Retrieval Pipelines · Evaluation

  2. 02/2025 – Present

    Data Analyst — Software Development Focus

    Amazon

    Building serverless applications and a multi-region quality management platform (React 19, TypeScript, tRPC, AWS CDK) serving managers at North American fulfillment centers.

    React 19 · TypeScript · tRPC · AWS CDK

  3. 02/2023 – 10/2023

    Full Stack Web Development

    Flatiron School

    Full Stack Web Development online program in Python and JavaScript.

    Python · JavaScript · React · Full-Stack

  4. 2021 – 2024

    Operations

    Amazon

    Operations roles across multiple Ontario locations (Hamilton, St. Thomas, London, Mississauga) before transitioning to software development.

    Operations · Leadership · Process Improvement

  5. 01/2019 – 02/2021

    Master of Engineering — Mechanical Engineering

    University of Guelph

    Course-based Master of Engineering in Mechanical Engineering in Guelph, ON.

    Mechanical Engineering · Data Analysis · Research

Featured Projects

Quality Management Platform

Confidential
Quality Management Platform preview

Problem

Amazon fulfillment centers needed a scalable, multi-region platform to manage quality processes, track metrics, and provide real-time analytics dashboards for operations teams.

Solution

A TypeScript monorepo using React 19, tRPC, and AWS CDK to deliver a serverless API with CDN-based auth, analytics dashboards, and full infrastructure as code — deployed across multiple AWS regions.

Architecture

A TypeScript monorepo fronts a CDN that handles authentication and serves the React 19 web client. Client requests reach a type-safe tRPC API running on serverless compute, which reads and writes operational and analytics data. The entire multi-region footprint is provisioned and deployed through AWS CDK infrastructure as code, with 100% test coverage enforced across the stack.

Tech Stack

  • TypeScript
  • React
  • tRPC
  • AWS CDK
  • Serverless API

Challenges

  • Coordinating consistent quality data across multiple AWS regions.
  • Securing the API behind CDN-based authentication without adding latency.
  • Sustaining 100% test coverage across a growing TypeScript monorepo.

Results

  • Multi-region serverless platform serving operations teams in production.
  • 100% test coverage maintained across the full stack.
  • Infrastructure fully reproducible through AWS CDK as code.

AI Engineering

  • Retrieval-Augmented Generation

    Described competency

    Grounding language-model responses in external knowledge by retrieving relevant context at query time and feeding it into the prompt, reducing hallucination and keeping answers current with authoritative sources.

  • LLM Applications

    Described competency

    Designing production application flows around large language models — prompt design, streaming responses, context-window management, structured output, and guardrails — built on the same TypeScript and serverless foundations used for the platform work at Amazon.

  • Agents

    Described competency

    Composing autonomous and semi-autonomous agent workflows that plan, call tools, and iterate toward a goal, with explicit state, stopping conditions, and human-in-the-loop checkpoints for reliability.

  • Retrieval & Embedding Pipelines

    Described competency

    Building ingestion and embedding pipelines that chunk source content, generate vector embeddings, and index them for semantic retrieval — a natural extension of the serverless data-automation pipelines already shipped on AWS Lambda and EventBridge.

  • Tool Calling

    Described competency

    Exposing typed functions and external APIs to a language model so it can invoke them with validated arguments, mapping model intents onto real backend actions with the same type-safety discipline used for tRPC APIs.

  • Evaluation Pipelines

    Described competency

    Measuring model and application quality through automated evaluation harnesses — golden datasets, regression checks, and scoring metrics — applying the 100% test-coverage discipline maintained on the Quality Management Platform to non-deterministic systems.

Engineering Excellence

  • System Design

    Designing full-stack systems end to end — from edge authentication and type-safe APIs to data modeling and analytics — for the Quality Management Platform serving managers across North American fulfillment centers.

    • Designed a TypeScript monorepo (React 19, tRPC, AWS CDK) with a serverless API layer and CDN-based authentication.
    • Implemented edge-level authentication, role-based access control, and real-time user monitoring.
    • Built analytics dashboards with multi-location filtering and manager-level data aggregation.
    • AWS Lambda
    • CloudFront
    • DynamoDB

  • Scalability

    Building event-driven, serverless workloads that scale to production traffic across multiple locations without managing servers.

    • Developed 15+ serverless data-automation tools processing operational data from S3 and internal APIs.
    • Delivered real-time alerts via SES, SNS, and Slack to operations teams.
    • Launched the platform MVP at a pilot location and expanded toward 8+ additional fulfillment centers.
    • AWS Lambda
    • EventBridge
    • SES
    • SNS
    • S3

  • Cloud Architecture

    Architecting and deploying a multi-region web platform entirely as infrastructure-as-code, reproducible through AWS CDK with automated CI/CD.

    • Provisioned a multi-region footprint through AWS CDK infrastructure as code.
    • Owned the full lifecycle from architecture design through CI/CD deployment and production monitoring.
    • Configured CDN delivery, edge authentication, and observability for production workloads.
    • CDK
    • CloudFront
    • CloudWatch
    • Route 53
    • WAF

  • AWS Services

    Hands-on depth across the AWS serverless and infrastructure stack used to run the platform and data-automation tools in production.

    • Compute and APIs on AWS Lambda with tRPC and DynamoDB persistence.
    • Messaging and notifications through EventBridge, SES, and SNS.
    • Edge delivery and security via CloudFront, WAF, and Route 53, with monitoring through CloudWatch and RUM.
    • AWS Lambda
    • DynamoDB
    • S3
    • CloudFront
    • EventBridge
    • SES
    • SNS
    • CloudWatch
    • RUM
    • WAF
    • Route 53

  • Backend Engineering

    Writing type-safe, well-tested backend services in TypeScript and Python, owning the software lifecycle from requirements through production monitoring.

    • Built type-safe tRPC APIs backed by DynamoDB with role-based access control.
    • Maintained 100% test coverage across 6 packages using Vitest, ESLint, and snapshot testing.
    • Automated CI/CD pipelines for repeatable, infrastructure-as-code deployments.
    • AWS Lambda
    • DynamoDB

Skills

  • Backend

    • TypeScript
    • Python
    • Node.js
    • tRPC
    • Vitest
    • Git
    • Nx
    • ESLint
    • Prettier

  • Frontend

    • React 19
    • JavaScript
    • HTML/CSS
    • Vite

  • Cloud

    • AWS Lambda
    • CDK
    • S3
    • CloudFront
    • EventBridge
    • SES
    • SNS
    • CloudWatch
    • RUM
    • WAF
    • Route 53
    • Infrastructure as Code

  • AI

    • Retrieval-Augmented Generation
    • LLM Applications
    • Agents
    • Retrieval & Embedding Pipelines
    • Tool Calling
    • Evaluation Pipelines

  • Databases

    • DynamoDB
    • SQL

Certifications

  • AWS Certified Solutions Architect – Associate

    Amazon Web Services

  • AWS Certified Cloud Practitioner

    Amazon Web Services

Contact

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Open to AI Engineer, Software Engineer, and Backend Engineer roles. Reach out through any channel below.

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