Backend-Focused Software Engineer experienced in building reliable, scalable backend systems and REST APIs using Node.js, Python, and modern database technologies.
Thinking in terms of architecture, scalability, reliability, and the systems behind them.
Hi, I'm Adil! I'm a back-end-focused Software Engineer with experience designing and building reliable, scalable back-end and server-side solutions. My experience includes NodeJS, NestJS, Python, FastAPI, .NET, PostgreSQL, REST APIs, and relational databases, with a focus on back-end architecture, API development, database design, and maintainable production-grade software. I've also gained nearly 2 years of experience through software engineering and AI-focused internships, working on practical development and research-oriented projects.
Alongside back-end development, I have a strong interest in Artificial Intelligence and its practical integration into software systems. I have worked with LLMs, AI agents, RAG, vector databases, and AI APIs, while exploring computer vision and Edge AI through hands-on projects. I enjoy understanding how systems work, solving engineering problems, and continuously learning technologies that help me build better software. My goal is to grow as a back-end engineer and system architect while incorporating AI and emerging technologies where they provide real value.
Jan 2024 — Oct 2025
1 yr 10 mo
Designed and developed backend services and features for production applications using NestJS, Fastify, TypeORM, and PostgreSQL. Worked on different production level services and third party integrations. Also worked on chatbots and AI integrations and agents for different applications with python and FastAPI.
Aug 2026 — Sep 2026
1 mo
Worked on Edge AI research focused on deploying real-time AI/ML models on resource-constrained embedded systems. Explored model development, optimization, and deployment considerations for real-time inference. Also worked with computer vision and deep learning models for object detection and tracking and its deployment on edge devices.
Selected work across backend engineering, AI/ML, and systems development.
A scalable backend platform designed for multi-tenant service management with role-based authorization, geospatial functionality, notifications, payments, and third-party integrations. This is a project i did during my time at CodeBryx and can't share the source code for this project but you can check out my nestjs utilities repo which contains some of the utilities i used in this project.
A research-oriented Edge AI pipeline exploring real-time custom object detection and deployment on resource-constrained embedded systems. This project explores the work I did during my internship at Prince Sultan University and the source code and resources are available in the above repo.
An AI-powered Slack bot for automated community-member research and analysis, rebuilt with FastAPI, Python, Google Gemini, LangChain, Slack Bolt, and PostgreSQL. This project started from a tutorial by Ania Kubów / freeCodeCamp, but I independently reimplemented the backend using FastAPI instead of the original Node.js/Express stack and deployed it using FastAPI Cloud.
Designing reliable APIs, services, databases, and scalable backend systems.
Learning about parallel computation, distributed systems, and efficient large-scale processing.
Exploring the deployment of AI and software solutions on resource-constrained devices and embedded systems.
Building practical AI systems and exploring how intelligent capabilities can be integrated into software.
Exploring machine learning models, neural networks, and their application to real-world problems.
Working with visual data, object detection, image understanding, and real-time vision systems.
University of the Punjab
Department of Software Engineering · FCIT
Selected as a Teaching Assistant for Machine Learning, supporting undergraduate students through coursework, labs, and practical exercises.
Received a government-funded merit scholarship and laptop based on academic performance during BS.
Completed an AI research internship focused on Edge AI, computer vision, and real-time inference for resource-constrained systems.