Ahmed Raza Khan
AWS Certified Machine Learning Associate & Full-Stack Software Engineer. Passionate about AI, Cloud, and Scalable Solutions.
Ahmed Raza Khan
Full-Stack Software Engineer / ML Associate
3yrs
Experience
HONORS
Events & Achievements
A living archive of professional milestones, industry events, and certified technical achievements.
About Me
I am an AWS Certified Machine Learning Associate and Full-Stack Software Engineer passionate about AI, Cloud, and Scalable Solutions. With 3 years of professional experience, I specialize in building robust backend systems, interactive frontend interfaces, and cloud-powered AI integrations.
My expertise spans across Node.js, Python, FastAPI, and React.js, with a strong focus on AWS Cloud technologies. I am dedicated to creating impactful digital experiences through precision, scalability, and innovation.
Core Technologies
Explore the sophisticated tech stack I utilize to architect and deploy modern web applications.
Available to architect and engineer high-impact solutions where AI and Cloud meet scalable design.
Reach outVerified Credentials
AWS Machine LearningAWS AI Practitioner
JS Algorithms
IELTS AcademicCertifications
Professional credentials validating my expertise in Artificial Intelligence, Machine Learning, and Software Development.
Featured Projects
A collection of enterprise-grade solutions and AI-driven applications built with precision and scalability.
Orai: AI Layer 1 Ecosystem
Decentralized AI Oracle and subnetwork infrastructure for verifiable AI services in Web3 environments.
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MyWill MyWay: Smart Legal Platform
The world's first AI Avatar Smart Legal Platform for Wills, enabling effortless Will creation and remote video witnessing.
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TenderInABox: Automated BOQ Costing
AI-driven procurement solution that automates complex Bill of Quantities costing from technical documents.
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Community Crime Watch: SOS Platform
Real-time safety alerting and SOS system for community-led incident reporting and responder collaboration.
Explore Case StudyWork Experience
Software Engineer
ExpertsCloud, Lahore, Pakistan
- • Built and maintained backend microservices using Node.js and Python for a multi-tenant SaaS platform serving enterprise clients.
- • Delivered end-to-end AI features by integrating AWS Bedrock LLM APIs, powering frontend smart search and document summarization, which reduced manual processing time by ~60%.
- • Improved full-stack application performance by optimizing database queries and adding caching layers, dropping average API response times from 420ms to 110ms.
- • Configured Docker-based deployments and automated CI/CD pipelines to streamline feature delivery across the engineering team.
- • Mentored two junior engineers through pair programming and code reviews, sharing knowledge on backend architecture and cloud deployment practices.
Backend Engineer
Zyacom, Remote (Texas, USA)
- • Owned the software lifecycle for a US-based startup, taking features from initial system design through to robust AWS cloud deployment.
- • Created and documented 60+ REST API endpoints using FastAPI, actively collaborating to ensure smooth data flows into the React frontend.
- • Hosted the application backend on AWS EC2 and S3, reliably processing over 5,000 API requests daily while keeping 99.8% uptime.
- • Automated the release process with GitHub Actions and Docker, reducing deployment time from 40 minutes to under 8 minutes.
- • Partnered closely with remote stakeholders across time zones to connect complex server logic with everyday user experiences.
Full-Stack Developer
GMG Solutions, On-site
- • Developed 6 full-stack projects from scratch using React.js and Node.js, delivering a real-time chat app, project management tools, and custom SaaS platforms.
- • Created a flexible admin dashboard codebase to connect React interfaces with Node.js APIs, saving roughly 2 weeks of setup time for each new project.
- • Setup normalized relational databases in PostgreSQL and MySQL, allowing complex user reports to load in under a second.
- • Handled both frontend UI components and backend API development to effectively translate client requirements into working features.
- • Gathered requirements directly from clients and iterated on features to hit target deadlines, achieving 5-star internal performance reviews.
Education
Entrepreneurship (CES)
Focused on innovation, teamwork, leadership, and creating impactful projects within an elite startup incubator environment.
Computer Science BS
Comprehensive study of software development, database management, algorithms, and modern computing technologies.
Recent Activity
A chronicle of engineering challenges, technical leadership, and architectural milestones in 2025.
Building an Autonomous AI Agent with RAG
Implemented a Retrieval-Augmented Generation (RAG) system for automated customer support.
Generative AI Workflow Optimization
Streamlining image and text generation pipelines for content creators.
Serverless AI Infrastructure on AWS
Deploying scalable machine learning models using AWS Bedrock and Lambda.
Vector Database Implementation for Search
Replacing traditional keyword search with semantic vector embeddings.
Technical Insights
Exploring the frontiers of AI architecture, cloud engineering, and modern full-stack development.
Mastering RAG: Architecting Scalable AI Knowledge Bases
A deep dive into Retrieval-Augmented Generation (RAG) and how to build production-ready AI systems that leverage your own data with precision.
The Future of Full-Stack: Integrating Generative AI
How the role of full-stack engineers is evolving in the era of Generative AI and how to effectively integrate AI models into modern web architectures.
Let’s build something exceptional together.
Currently open to high-impact roles, engineerin4g leadership opportunities, or technical consultations.