# Hammad Parveez - Software Engineer

Canonical site: https://devhammad.com/
Location: Turkey
Email: hammadpervez14@gmail.com
Resume PDF: https://devhammad.com/Hammad-Parveez-Resume.pdf

> Software Engineer with 5+ years building production mobile, web, and cloud
> systems. Flutter, TypeScript, Firebase, Google Cloud, CI/CD, and AI agent
> tooling.

## About

I build production software across the stack: Flutter apps on iOS and Android,
TypeScript backends on Firebase and Google Cloud, and the CI/CD pipelines that
ship them.

Lately I focus on AI-assisted engineering. At my current company I built a
GitHub workflow where an AI coding agent picks up issues on sandboxed runners
and delivers reviewed pull requests, integrated LLM features into a consumer
travel-wellness product, and published developer tooling like an MCP server for
pub.dev.

Five years in, I have shipped recruitment, travel, and wellness apps to the App
Store and Play Store, built real-time notification systems, designed a
format-preserving encryption scheme for redemption codes, and written a few
hundred test files along the way.

## By the numbers

- 5+ years of experience
- 4200+ commits at 10XU over 28 months
- 900+ merged pull requests (97.5% merge rate)

## AI-assisted engineering

"I don't just use AI tools - I built the pipeline my team ships with."

The pipeline: a GitHub issue with @claude mentioned on it, picked up by Claude
Code on a sandboxed CI runner, which opens a pull request with branch, commits,
tests and checks, which then goes through human review before merge and deploy.

Rolled out across all company repositories: cross-repo pull requests,
screenshot ingestion so the agent can read attached images, GitHub App auth,
and a reusable dispatcher workflow. Dozens of agent-authored pull requests
merged after human review.

## Experience

### Software Engineer - 10XU Limited (formerly WithU Holdings Limited)

London, UK (remote). April 2024 to August 2026.

- Core engineer on a consumer travel-wellness platform: Flutter iOS/Android
  app, a 33-domain TypeScript Cloud Functions backend, and four production web
  apps. 924 of 948 pull requests merged over 28 months, with commits
  across 24 repositories.
- Built GitHub automation where an AI coding agent turns issues into reviewed
  pull requests on sandboxed CI runners, rolled out across all company
  repositories.
- Designed the redemption-code platform. Uniqueness is guaranteed by
  construction rather than by retrying on collisions, using FF1
  format-preserving encryption, which is a bijection over the code space;
  verified against a one-million-code benchmark. Shipped with a profanity
  pre-screen at mint time, a redemption ledger, eleven admin endpoints covering
  paginated and batch reads, mutations and CSV export, and deep-link entry via
  Branch.io.
- Built the flight and jet lag engine, the platform's largest work area at 119
  pull requests: provider webhooks with automatic failover, IANA timezone and
  daylight-saving correct scheduling, deterministic day-by-day plans, and
  deduplicated push notifications.
- Built the video delivery pipeline: ffmpeg HLS and MP4 transcoding,
  cross-account S3 media migration in parallel batches, CloudFront signed URLs,
  and an in-app HLS pre-cache layer that made story-style video transitions
  start instantly instead of buffering.
- Built the content pipeline moving workout and wellness content from Airtable
  through Firestore to S3 across development, staging and production, wrapped
  in a single CLI so non-engineers could run a release.
- Owned iOS and Android release automation on self-hosted Mac runners: code
  signing, store uploads, test gating, deploy notifications, and crash
  symbolication alerting into Slack. Separately ported the internal deal-admin
  tool from Flutter Web to Next.js and took it to production in eight days.

### Senior Flutter Developer - Bayt (Talentera)

Dubai, UAE (remote). January 2023 to April 2024.

- Delivered REST API integrations end to end, with offline caching (Hive,
  SharedPreferences), state management and unit tests, in a production
  recruitment app used by employers across the Gulf.
- Built CI pipelines on Codemagic and CircleCI automating build, test and
  release for Android and iOS, with custom flavours for several environments
  and teams.
- Cut latency in the app's critical user flows, and refactored the codebase
  toward MVVM so further change was safe to make.

### Senior Flutter Developer - ShiftCTRL

New York, USA (remote, part-time). February 2022 to January 2023.

- Took the product to release on the App Store, Play Store and Huawei
  AppGallery, and set up the build and release pipelines behind it.
- Built the app's REST integrations and offline storage (Hive, GetStorage,
  SharedPreferences), plus Firebase Cloud Messaging and local notifications.
- Extended third-party libraries in Kotlin and Java where the product needed
  behaviour they did not support, and led debugging and code review for the
  team.

### Flutter Developer - Eusopht

Karachi, Pakistan. January 2022 to August 2022.

- Delivered apps through the full lifecycle from design to deployment;
  mentored junior developers.

### Flutter Developer (Intern) - Digital Graphiks

Karachi, Pakistan. January 2021 to May 2021.

- Integrated WordPress REST, Shopify Storefront, and GraphQL APIs into Flutter
  apps.

## Systems built at 10XU

Each entry names the part that was actually difficult, since that is what an
interview will probe.

### Redemption Code Platform

Stack: TypeScript, Cloud Functions, Firestore, FF1.

Partner deal redemption end to end: code minting, a redemption ledger, eleven
admin endpoints with paginated and batch reads, CSV export, and deep-link entry
through Branch.io.

The hard part: uniqueness is guaranteed by construction rather than by retrying
on collisions. FF1 format-preserving encryption is a bijection over the code
space, so two deals cannot mint the same code. Verified against a
one-million-code benchmark before rollout.

### Video Delivery Pipeline

Stack: TypeScript, ffmpeg, AWS S3, CloudFront.

Every workout and wellness video in the product moved through this: ffmpeg HLS
and MP4 transcoding, cross-account S3 migration in parallel batches, and
CloudFront signed URLs.

The hard part: story-style video had to start on tap, not buffer. An in-app HLS
pre-cache layer fetches segments and pre-initialises controllers a step ahead of
the viewer, with memory diagnostics so pre-caching never starves playback.

### Flight and Jet Lag Engine

Stack: Dart, TypeScript, Cloud Tasks, FCM.

Track a flight, generate a day-by-day light, sleep and caffeine plan around it,
and notify the traveller at the right local moment. The largest single work area
at 119 pull requests.

The hard part: almost every bug here was a timezone bug. Provider webhooks
arrive in UTC, plans are lived in local time, and daylight-saving folds break
naive arithmetic. It needed IANA-correct scheduling, deduplicated pushes, and a
characterization test suite before the engine could safely be refactored.

### Content Pipeline

Stack: TypeScript, Dart, Airtable, Firestore, S3.

Workout and wellness content flowing from Airtable through Firestore to S3
across development, staging and production, with Dart generators and TypeScript
uploaders behind a single CLI.

The hard part: the people publishing content are not engineers. The whole thing
had to collapse into one command that is safe to re-run, skips unchanged assets,
and cannot silently wipe published media.

### Venue Data Extraction

Stack: TypeScript, Google Places API, LLM agents, Docker.

City-scale gym and studio dataset built from third-party APIs: grid-based
extraction over Google Places, automatic detection of each venue's booking
provider, and LLM agents reading day-pass and pricing detail out of
unstructured pages.

The hard part: scraped data is worthless if you cannot say how wrong it is.
Accuracy was measured against a hand-checked ground-truth sample rather than
assumed, which is what made the output usable for a product decision.

### Product Analytics and KPI Reporting

Stack: RudderStack, Mixpanel, BigQuery, Bash.

A single event map wired through RudderStack into Mixpanel and BigQuery, plus
automated daily and weekly engineering reports posted into Slack.

The hard part: getting product and engineering to trust one definition of each
event. That meant a written event map, fixing an alias call that was merging
Mixpanel accounts on login, and a volume flag to keep critical events readable.

### Dart Service on Cloud Run

Stack: Dart, Cloud Run, Auth0.

A Dart HTTP backend deployed to Cloud Run with Auth0 JWT verification, run as an
alternative runtime alongside the TypeScript Cloud Functions. Smaller than the
others: the interesting part was proving a Dart service could sit behind the
same auth contract as the existing functions, so the team could share models
across app and backend.

## Projects

### English With Aliyah

Stack: Flutter, Next.js, Python.

Language-learning app built solo end to end, with two offline ML pipelines.
Kokoro text-to-speech on CPU generates every lesson's audio, and on-device
speech recognition (Whisper tiny.en via sherpa-onnx) scores the learner
speaking, with no network and no per-use API cost. Data-driven Flutter app
localised in three languages, a Next.js content CMS, 122 test files plus
integration tests, shipped through GitHub Actions.

### Pub.dev MCP Server

Stack: Python, MCP, npm. https://www.npmjs.com/package/pub-dev-mcp-server

Model Context Protocol server that lets AI assistants search pub.dev packages
and read their documentation. Published on npm with a hosted HTTP API, so any
MCP-capable agent can use it with one config entry.

### Crypto Analysis Agent

Stack: Python, FastAPI, LLM.
https://github.com/hammadparveez/crypto-analysis-agent

Real-time crypto analysis system: live price feeds for top coins, 10+
technical indicators on live charts, and multi-source news scraping with LLM
sentiment analysis behind a FastAPI backend.

### LLM Model Compare

Stack: TypeScript, LangGraph, Playwright.
https://github.com/hammadparveez/langgraph-model-compare

Web harness that runs the same prompt against GPT, Claude, Gemini, and Llama
side by side, with latency benchmarks and Playwright end-to-end tests. Keys
stay session-only in the browser.

### architecture_cli

Stack: Dart, pub.dev. https://pub.dev/packages/architecture_cli

CLI on pub.dev that scaffolds Flutter projects in eight architecture patterns
- MVC, MVVM, MVP, Clean, BLoC and more - and writes per-folder guideline docs
so teams start consistent.

### easy_card_scanner

Stack: Dart, Flutter plugin. https://pub.dev/packages/easy_card_scanner

Flutter plugin for on-device credit card scanning, published on pub.dev with
fixes over the upstream scanner integration it builds on.

## Personal builds

Lower bar than Projects: real and explainable, but not published packages.
Status is stated where something is not a shipped product.

- Google Meet Recorder (Chrome MV3, MediaRecorder, JavaScript). Chrome extension
  that captures, records and transcribes a Google Meet call from the browser,
  with no meeting bot joining the room.
- Browser Context Capture (Chrome MV3, VS Code API, Node.js). A Chrome extension
  paired with a VS Code extension that streams the text of your active tab into
  the workspace, so Copilot can use whatever documentation you are reading as
  context without copy-paste.
- Chat to Pull Request Agent (Next.js, Express, TypeScript, SSE). Web chat front
  end over the Cursor Background Agents API: describe a change in conversation
  and the agent branches, commits and opens a pull request. GitHub OAuth with
  streamed progress over server-sent events.
- Local TTS Content Pipeline (Python, Kokoro, Flask, ffmpeg). Offline speech
  generation for lesson audio: Kokoro on CPU, a small Flask studio for
  auditioning voices, ffmpeg AAC encoding at 64 kbps mono, and a manifest so
  re-runs only regenerate text that changed.
- On-Device Speech Recognition (Dart, sherpa-onnx, Whisper, Riverpod). Offline
  speech-to-text inside a Flutter app: a Whisper tiny.en model pulled down in a
  native background task that survives backgrounding and resumes rather than
  restarting, then run locally through sherpa-onnx. One shared in-flight
  download so a prefetch and a manual tap can never start two, with install
  checks, retry, and a repair path for a corrupt model. Proof of concept, wired
  into the lesson speaking step.
- Agent Runtime Security Notes. Four reference guides on running coding agents
  safely: runtime setup, prompt-injection defence, multi-agent usage, and a
  security quick reference. Written reference, not a shipped system.
- Explainer Render Pipeline (Remotion, Whisper, ffmpeg). Turns a recorded take
  into a finished short: Whisper transcript to an edit timeline to a Remotion
  render, with loudness normalisation and speed-up applied at encode.
- Advisory Firm Website (Astro, Tailwind, Playwright). Marketing and
  lead-generation site for a boutique audit and advisory firm across three
  regions. Static build tuned for SEO and speed. Built with placeholder
  branding, pending client details.

## Skills

### Languages

Dart, TypeScript, JavaScript, Python, Kotlin

### Mobile

Flutter (iOS, Android, Web), BLoC, Riverpod, Provider, push and local
notifications, deep linking (Branch.io), offline storage (Hive), RevenueCat,
Crashlytics, HLS video playback, store releases

### Cloud and backend

Cloud Functions, Firestore, Firebase Auth, Hosting, Cloud Run, Cloud Build,
Cloud Tasks, Node.js, REST, OpenAPI

### AI and LLM

Claude Code and agent workflows, Anthropic / OpenAI / Gemini APIs, structured
outputs, MCP servers, LLM testing and evals, on-device inference (Whisper via
sherpa-onnx, Kokoro TTS)

### DevOps

GitHub Actions, self-hosted runners, Codemagic, CircleCI, release automation,
test gating

### Web and testing

Next.js, React, Tailwind CSS, unit and integration tests, Playwright e2e

## Shipped work

Screens from products shipped to the App Store and Play Store:

- TrvlWell (10XU): travel-wellness iOS and Android app. Flight itinerary
  tracking, jet lag guidance with light/sleep/caffeine timing across time
  zones, guided audio sessions and workouts, offline downloads, nearby gym
  discovery, and Omira, an in-app AI assistant for travel and nutrition
  questions.
- Talentera Employer (Bayt): recruitment app for employers. Hiring dashboard,
  job pipelines with CV inbox and shortlist counts, and candidate CV activity
  timelines with notes and tags.
- StyleO: consumer commerce app with email and Google authentication.
- Bachay.com: kidswear storefront app with category browsing and
  recently-viewed products.

## Links

- GitHub: https://github.com/hammadparveez
- LinkedIn: https://linkedin.com/in/hammadparveez
- Medium: https://medium.com/@hammadpervez
- Stack Overflow: https://stackoverflow.com/users/9576373