[ 01 / OVERVIEW ]IDENTITY / WORK / AI CAPABILITY

FOLIO / 2026/Peshawar, PK

— SOFTWARE ENGINEERMUHAMMAD WALEED

BUILDINGDIGITALPRODUCTS THATMATTER.

This portfolio documents the engineering work of Muhammad Waleed, a Full Stack Developer and AI Engineer focused on Next.js, PostgreSQL, AI-powered web applications, and modern automation systems.

VIEW RESUME / CV

[ 01 ]PORTRAIT

PESHAWAR / PAKISTAN

MUHAMMAD WALEEDFULL-STACK / AI / CLOUD

ASK WALEEDA CONVERSATION ABOUT THE WORK

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NEXT.JS✦

TYPESCRIPT✦

AI✦

RAG✦

AWS✦

AUTOMATION✦

REACT✦

PYTHON✦

POSTGRESQL✦

n8n✦

ABOUT

Profile & SpecializationSECTION 01

“I enjoy turning complex problems into simple digital experiences.”

As a BS Software Engineering student at CUSIT Peshawar, I focus on building dependable digital systems from backend infrastructure to intuitive, high-performance interfaces. My work blends practical product thinking with modern AI and full-stack development.

PHILOSOPHY & APPROACH

Clarity over cleverness.

Every layer of software should exist for a reason. By eliminating unnecessary complexity, prioritizing compile-time safety, and maintaining strict latency budgets, systems remain maintainable and enjoyable for end users.

Explore full academic trajectory & bio

Software Engineering

System Architecture & Algorithmic Rigor

Applying foundational computer science, clean design patterns, and strict type verification to build maintainable, error-resilient software systems.

Full-Stack Development

End-to-End Web Applications

Crafting responsive frontend experiences with Next.js and React, coupled to scalable REST and GraphQL backends running on Node.js, Python, and PostgreSQL.

AI & Automation

Retrieval Pipelines & Intelligent Workflows

Integrating generative language models, semantic vector search, LangChain agents, and workflow automations to elevate software capabilities.

Cloud & Infrastructure

Containers, Telemetry & Deployment

Deploying microservices with Docker, managing AWS cloud primitives, and establishing automated continuous integration and delivery pipelines.

SELECTED WORK

Engineering Case StudiesSECTION 02

Detailed architectural case studies of production software systems, highlighting algorithmic constraints, performance benchmarks, and end-to-end full-stack craft.

[ 01 ]AI / ML

CASE 01 / 03

FIG 01.AI Resume Reviewer

AI / ML

[ PRODUCTION ARCHITECTURAL CAPTURE ]AI Resume Reviewer

Full-Stack Interface Viewport

Production architecture & real-time interaction
/images/projects/ai-resume-reviewer.jpg

SCALE: 1:1 RESPONSIVEVERIFIED REPO: MUHAMMAD WALEED

[ 01 ]AI / ML

CASE STUDY

AI Resume Reviewer

AI-powered resume analysis and improvement platform.

A resume evaluation engine built with Next.js and TypeScript using Groq API to provide AI-driven feedback and optimization suggestions.

Core Technologies:

Next.jsTypeScriptGroq API

Source Repository

[ 02 ]AI / ML

CASE 02 / 03

[ 02 ]AI / ML

CASE STUDY

AI Resume Reviewer

AI-powered resume analysis and improvement platform.

A resume evaluation engine built with Next.js and TypeScript using Groq API to provide AI-driven feedback and optimization suggestions.

Core Technologies:

Next.jsTypeScriptGroq API

Source Repository

FIG 02.AI Resume Reviewer

AI / ML

[ PRODUCTION ARCHITECTURAL CAPTURE ]AI Resume Reviewer

Full-Stack Interface Viewport

Production architecture & real-time interaction
/images/projects/ai-resume-reviewer.jpg

SCALE: 1:1 RESPONSIVEVERIFIED REPO: MUHAMMAD WALEED

[ 03 ]AI / ML // DISTRIBUTED ARCHITECTURE// YEAR 2026

AI Cover Letter Generator

Automated cover letter generation with AI.

Next.jsTypeScriptGroq API

Source Repository

FIG 03.AI Cover Letter Generator

AI / ML

[ PRODUCTION ARCHITECTURAL CAPTURE ]AI Cover Letter Generator

Full-Stack Interface Viewport

Production architecture & real-time interaction
/images/projects/ai-cover-letter-generator.jpg

SCALE: 1:1 RESPONSIVEVERIFIED REPO: MUHAMMAD WALEED

01 //Pipeline & Ingestion

Asynchronous document ingestion worker queue running Celery and Redis to tokenize, chunk, and embed large text corpora into 1536-dim vectors.

02 //Vector Search & Accuracy

Hybrid semantic vector search with contextual reranking achieving < 180ms p95 query latency and 99.4% answer accuracy benchmark.

03 //Edge Streaming & SSE

Real-time streaming LLM responses via Server-Sent Events with optimistic React transitions and edge rate-limiting token buckets.

SKILLS

Interactive Technical MatrixSECTION 03

01 —

FRONTEND

Next.jsReact TypeScriptTailwind CSS

02 —

BACKEND

Node.jsExpressPostgreSQLPrisma

03 —

AI

Generative AIRAG PipelinesAI AgentspgvectorMCP

04 —

SYSTEMS & CLOUD

AWSDocker

05 —

AUTOMATION

n8n

ALL DISCIPLINES BACKED BY PRODUCTION IMPLEMENTATIONSView Detailed Proficiency Matrix (36 Items)

CERTIFICATIONS

Accreditation ArchiveSECTION 04

Verified professional credentials in cloud infrastructure, generative AI engineering, and modern web application development.

2026

AI Automation Engineer with n8n

LearnKartS

Automation workflows, AI-powered process design, and no-code/low-code orchestration using n8n.

→ Credential

2026

AWS Fundamentals Specialization

AWS

Foundational cloud knowledge and AWS concepts for modern application and infrastructure development.

→ Credential

2026

Build Production AI Agents RAG MCP

LearnKartS

Practical building of production AI agents using retrieval systems, MCP, and agent orchestration patterns.

→ Credential

2026

Agentic AI Foundations MERN RAG MCP

LearnKartS

Foundations for agentic AI concepts, MERN stack integration, and retrieval-augmented AI experiences.

→ Credential

JOURNEY

Trajectory & MilestonesSECTION 05

A chronological progression from computer science foundations to distributed systems and AI product engineering.

2024

Foundational Software Engineering

Enrolled at CUSIT. Immersed in foundational Data Structures & Algorithms, Object-Oriented Design, C++

2025

Full-Stack Systems & Telemetry

Engineered production web applications with Next.js and TypeScript. Architected relational schemas with PostgreSQL and built microservices in Go and Node.js.

2026

AI Architectures & Distributed Systems

Architecting Retrieval-Augmented Generation (RAG) vector pipelines, LangChain agents, Docker containerization, and AWS infrastructure.

2027+

Product Engineering & Beyond

Scaling distributed cloud systems, designing resilient multi-tenant architectures, and driving engineering product excellence globally.

[ SYSTEM METRIC LEDGER ]VERIFIABLE PERFORMANCE & PRODUCTION SCALE

INDEX 01

Projects Built

Deployed Production Apps

INDEX 02

Next.js

Core Stack

TypeScript, PostgreSQL, AI

INDEX 03

Certifications

AWS & AI Automation

INDEX 04

Remote

Availability

Freelance & Full-Time

[ 06 // INITIATE COLLABORATION ]

Seeking a software engineering intern or full-stack builder for your engineering team?

Open to remote opportunities and freelance work. Let's build practical full-stack products and AI-powered digital experiences.