👋 Hi there, I'm

Muhammad Tayyab Ashraf

I lead engineering teams and build full-stack systems end to end. With 5+ years in Node.js, NestJS, React, and AWS, I own solution architecture, development, and DevOps — shipping reliable systems that scale.

Muhammad Tayyab Ashraf — Team Lead & Full-Stack Engineer

About Me

Get to know the developer behind the code.

Muhammad Tayyab Ashraf portrait

Team Lead & Full-Stack Engineer based in Lahore

I'm a Team Lead and full-stack engineer based in Lahore, Pakistan. I have 5+ years of experience owning the full software lifecycle — from architecture and development to deployment and production.

I work mainly with Node.js, NestJS, React, and AWS. I design clean REST APIs, event-driven services, and CI/CD pipelines, and I drive the architecture decisions behind them.

I also bring AI into real products using LLMs and RAG. I lead and mentor developers, set coding standards, and care about clean code, strong performance, and work that lasts.

  • mtayyabmalik99@gmail.com
  • Johar Town, Lahore, Pakistan
Problem SolverTeam PlayerFast LearnerDetail Oriented
5+ YearsExperience
ProductionReady Systems
BS ITGPA 3.4

My Skills

Technologies and tools I use to bring ideas to life.

Node.js95%
NestJS92%
Express.js90%
MongoDB90%
Django90%
FastAPI90%
AWS (EC2, CloudFront, Lambda, SQS, S3 ...)85%
PostgreSQL / SQL82%
Supabase78%
Generative AI / RAG80%
React.js85%
Next.js90%
TypeScript88%
CI/CD Pipelines80%

Leadership & Architecture

Team LeadershipSolution ArchitectureSystem DesignCode ReviewMentoringAgile Delivery

Backend Development

Node.jsNestJSExpress.jsREST APIsMicroservicesEvent-Driven Architecture

Frontend / Full-Stack

ReactMERN StackResponsive Web Apps

Cloud, Deployment & DevOps

AWS (EC2, Lambda, SQS)CI/CD PipelinesAutomated DeploymentsProduction Monitoring

Databases

MongoDBPostgreSQLDynamoDBSQLSupabase

AI & Automation

Generative AILLM IntegrationsRAG Systems

Work Experience

My professional journey building scalable systems.

Team Lead / Senior Full-Stack Engineer

TECHMADE (Pvt) Ltd
07/2023 – Present

Lahore, Pakistan

  • Lead the engineering team across the full development lifecycle — requirements, solution architecture, implementation, code review, deployment, and production support.
  • Own solution architecture for scalable backend services built on NestJS and AWS (EC2, Lambda, SQS), defining service boundaries, data models, and integration patterns.
  • Designed and implemented event-driven architectures with background job processing to decouple services and improve reliability and throughput.
  • Architected and shipped AI/LLM-integrated features (Generative AI, RAG systems) into production, from prototype to deployed solution.
  • Built and maintain CI/CD pipelines, driving automated testing, zero-downtime deployments, and infrastructure best practices.
  • Mentor developers, set coding standards, and lead performance optimization and architecture review sessions.

Full-Stack Engineer

Firm Tech Services (Pvt) Ltd
04/2023 – 10/2023

Lahore, Pakistan

  • Developed end-to-end MERN applications, owning both React front ends and Node.js/Express back ends with a focus on reliability and maintainability.
  • Designed REST APIs and database schemas (MongoDB, PostgreSQL) and handled deployment and release processes.

MERN Developer / Software Engineer

Hunch Automation (Pvt) Ltd
01/2022 – 09/2023

Lahore, Pakistan

  • Built scalable full-stack web applications and backend services used in production.
  • Collaborated with cross-functional teams on production deployments, releases, and post-release stabilization.

Software Developer (Node.js)

XiramSoft
02/2021 – 12/2021

Kasur, Pakistan

  • Developed Node.js APIs and backend modules, building the foundation for full-stack and architecture work.

Education & Languages

My academic background and the languages I speak.

BS Information Technology

University of Education, Lahore
2023

GPA: 3.4

Languages

Urdu

Native

English

Professional Working Proficiency

Featured Projects

A selection of things I've built. Managed from the dashboard.

Skedulr preview Featured

Skedulr

Skedulr is a full-stack SaaS platform I built for UK homecare and domiciliary care agencies, replacing spreadsheets and disconnected tools with one system for scheduling, care delivery, compliance, and finance. It includes smart rota building with route optimization, a simple carer mobile app with clock-in/out and digital visit notes, CQC-compliant care plans, automated invoicing and payroll, and a built-in recruitment tool. all backed by tiered pricing for agencies of any size. Designed for a regulated industry, the platform balances an easy, low-tech-literacy interface for carers with powerful back-office automation for office staff, and meets GDPR/CQC compliance standards with ISO 27001 and ISO 9001 certification.

ReactNodejsNestjsMongoDBAWS
Madrasa preview Featured

Madrasa

Madrasa.io is a full-stack web platform I designed and built end-to-end, connecting students around the world with qualified Quran and Islamic studies tutors for live online learning. The platform supports both one-on-one and small-batch class formats, allowing students to learn Quran recitation, Tajweed, Hifz (memorization), and broader Islamic studies at a pace and schedule that suits them. As the sole full-stack developer on the project, I handled everything from the user-facing frontend to the backend systems powering tutor-student matching, class scheduling, and account management — building a platform that works smoothly for students, parents, and tutors across different time zones. A key focus throughout development was creating an experience that feels simple and approachable for users of all technical skill levels, since the platform serves a wide range of age groups and backgrounds, from young children with parental oversight to working professionals fitting in lessons around their day. The result is a reliable, scalable system that brings traditional Islamic education into a modern, accessible online format.

ReactNodejsMongoDBWebRTCVideo Calling
Phase 5 preview Featured

Phase 5

Phase 5 is a SaaS product I built to bring the experience of a physical martial arts studio online, letting instructors teach and manage students through a single digital platform. It supports class scheduling, student progress tracking (belts/ranks), and instructional content delivery, giving martial arts schools the tools to run and grow their training programs remotely just as effectively as in person.

ReactNodejsMongoDBAWStwilio
Legal Advisar preview Featured

Legal Advisar

Legal Advisar is a legal-tech platform that connects people with verified advocates for online consultations, anywhere in the world. A user describes their problem — criminal, family, property, corporate, immigration, tax or cybercrime — chooses an advocate near them or abroad, and meets by secure video call, which removes the geography problem that normally decides who can get decent legal advice. Around the consultation side sits the part I find more interesting: a free, public library of legal texts and plain-language guides, a blog, and a community Q&A, all built so that someone who cannot afford a consultation still leaves with something useful. That mix drove the architecture. The library and articles are content-heavy pages that need to rank in search and load fast for readers on slow connections, so they are server-rendered and cached, with structured data and clean canonical URLs throughout. The consultation flow is the opposite — authenticated, stateful, and privacy-sensitive, handling advocate verification, profiles and availability, booking, and the video session itself. Building both in one product meant keeping a strict boundary between the public content surface and the private consultation surface, with search, multi-country advocate discovery, and a document/purchase flow for paid legal texts layered on top.

Next.jsReactNode.jsMongoDBVideo Consultation
Instagram DM Automation preview Featured

Instagram DM Automation

I built a system that automates and manages Instagram direct messages with AI-powered lead qualification built in. Conversations are initially handled by AI, which engages incoming leads, analyzes intent, and classifies each one as B2C, B2B, or hybrid — assigning a lead-quality score based on the conversation. Human agents can step in and take over any conversation directly from the dashboard at any point, giving the business a hybrid AI-plus-human workflow for qualifying and converting Instagram leads without needing to manage everything inside the Instagram app itself. I built this using Meta's Graph API and Business Manager infrastructure. The platform connects to the business's Instagram account (via Meta App + system user setup) and handles conversations in real time through webhook-based message syncing, with token scoping and permissions managed under the hood.

ReactNodejsMongoDBInstagramMeta Business
Body Runner preview Featured

Body Runner

Body Runner is a browser game I built where your body is the controller. It's a three-lane endless runner, but instead of tapping keys you physically step left or right to change lane, jump to clear a barrier, crouch to roll under a beam, and join both hands to start or retry a run. The webcam feeds a MediaPipe pose model that runs entirely in the browser — no install, no app store, and no video ever leaving the player's device, which was a hard requirement for me since asking people to point a camera at their living room is only reasonable if nothing is uploaded. The interesting engineering is in the gap between a noisy pose signal and a game that feels fair: raw landmarks jitter constantly, so the input layer smooths the skeleton over time, calibrates to each player's height and distance from the camera, and uses tuned thresholds for jump and crouch rather than fixed pixel values. Every one of those thresholds is exposed in a settings panel, along with a skeleton overlay and guide lines, so a player in a cramped room or bad lighting can dial it in instead of giving up. The game itself is a custom canvas renderer with a procedurally generated track, progressive speed scaling, score and best-score tracking, and a live FPS readout — because pose detection and rendering compete for the same frame budget and I wanted that visible. There are full fallbacks too: no camera, or no room to move, and you can swipe the track or use the arrow keys.

Next.jsReactTypeScriptMediaPipeComputer Vision

Latest Articles

Thoughts, tutorials and notes on backend engineering & the cloud.

Get In Touch

Have a project in mind or just want to say hi? Let's talk.

Let's build something great together.

I'm always open to discussing new projects, opportunities or partnerships. Reach out and I'll respond as soon as I can.