Shafiq Ur Rehman
Full-Stack Software Engineer | Cloud, DevOps & AI Engineering
I build scalable full-stack web applications and turn ideas into working products. I design and deploy microservices on cloud platforms, and apply DevOps practices to ship reliable systems. I build AI-powered features and work with large language models to solve real problems. I focus on clean code, strong problem-solving, and technology that adds real value for users and businesses.
About Me
Passionate about building transformative solutions that create real impact
My Journey
As a Software Engineer and Full-Stack Developer, I have built and deployed multiple full-stack applications, from Learning Management Systems to E-Commerce platforms and real-time messaging apps. I enjoy transforming ideas into scalable web and mobile solutions using React, Next.js, React Native, Node.js, and MongoDB.
My journey is shaped by continuous learning and hands-on projects. I've worked with modern tools like Docker, AWS, Redis, and RTK Query, while also exploring databases such as PostgreSQL and MySQL. Alongside web development, I actively practice Data Structures & Algorithms in C++ to strengthen my problem-solving skills.
Beyond coding, I contribute to open-source projects and share knowledge to help other developers grow. I believe technology should not just solve problems but also make education and opportunities more accessible to everyone.
When I'm not building projects, you’ll find me preparing for coding contests, experimenting with new frameworks, or exploring DevOps and cloud technologies. I’m driven by curiosity, growth, and the impact technology can create in real life.
How I Work
Clean Code
Writing maintainable, scalable code that stands the test of time
Continuous Learning
Constantly updating my skills and adapting to new tools and technologies
Collaboration
Working effectively with cross-functional teams to deliver exceptional results
Performance
Optimizing applications for speed, accessibility, and user experience
Technical Expertise
Technologies I've worked with in real-world projects and professional environments
C++
JavaScript
TypeScript
Node.js
Express.js
React.js
Next.js
Vue.js
React Native
MongoDB
MySQL
Redis
Docker
AWS
Firebase
Git
CI/CD
Linux Systems
Kubernetes
Terraform
GitHub Actions
Jenkins
Nginx
Python
OpenAI API
LangChain
Professional Journey
Building scalable systems and digital solutions across diverse technology stacks through hands-on development and collaborative problem-solving.
Top C++ Coder & LLM Trainer
Turing
Working as a Top C++ Coder and LLM Trainer, contributing to competitive programming problem development, algorithmic problem-solving, and Large Language Model training.
Key Achievements
- Contributed to Large Language Model (LLM) training using RLHF (Reinforcement Learning with Human Feedback) by creating, solving, and evaluating competitive programming (CP) problems.
- Solved and developed algorithmic and problem-solving tasks in Python and C++, focusing on correctness, efficiency, and edge-case handling.
- Provided high-quality solutions, feedback, and corrections to train and evaluate AI models, improving reasoning and code generation quality.
Technologies Used
Software Engineer Intern
Stem Solutions
Worked on full-stack web and mobile app development during a structured internship program.
Key Achievements
- Developed frontend interfaces for web and mobile applications during a structured internship program, focusing on responsive design and user experience.
- Collaborated with development teams using Git version control and agile methodologies
- Implemented reusable components and optimized frontend performance.
Technologies Used
DSA Trainer & Mentor
Dev Weekends Fellowship Program
Conducted training sessions on Data Structures & Algorithms (C++) and mentored students through the fellowship program.
Key Achievements
- Delivered structured DSA training sessions to 300+ students.
- Provided one-on-one mentorship to improve coding techniques and problem-solving skills.
- Conducted progress assessments and provided constructive feedback.
Technologies Used
Featured Projects
Innovative solutions that bridge MERN stack technology with real-world impact
E-Commerce Platform
Full-stack e-commerce app with authentication and Redux.
Aurora ChatBot
Full-stack MERN e-commerce platform built around product management, featuring a powerful admin panel with advanced controls, a modern clean UI, and an integrated chatbot for enhanced user interaction.
Elearning
Industry-level LMS with authentication, Redis, and RTK Query state management.
Horizon Impact Fund Managers
Paid client project with advanced auth, 2FA, Redis, and RTK Query.
ServiceMarket
A comprehensive React Native application for service providers to manage leads, bookings, and business operations across multiple service categories with real-time notifications and analytics.
Real Estate Platform
Property listings platform with authentication and advanced filters.
Travel Website
Multi-page travel site with modern responsive design.
Expense Tracker
Mobile application to track daily expenses with charts and insights.
Writing & Talks
Sharing knowledge through technical articles and public speaking.
State Managment In React
A deep-dive session on React state management — covering component vs application-level state, prop drilling, Context API, and performance optimizations like Virtual DOM diffing and Fiber's priority-based reconciliation.
Authentication Authorization & Security
Delivered an in-depth session on authentication and authorization, covering session-based authentication, JWT, OAuth 2.0, Google Authentication, security best practices, and interview-focused questions with real-world implementation concepts.
JavaScript Under the Hood
Delivered a live technical session on JavaScript Under the Hood, explaining the JavaScript engine, execution context, call stack, event loop, memory management, and asynchronous programming concepts.
Performance & Scalability Fundamentals
Delivered an in-depth session on performance and scalability, covering latency, throughput, caching, load balancing, horizontal and vertical scaling, fault tolerance, and system design concepts through real-world architecture diagrams.
DSA Session: String Theory & Core Concepts
Delivered an session on string concepts, covering common string operations, optimization techniques, and the foundations required for coding interviews.
DSA Problem Solving: Strings with Leetcode Problems
Solved string problems with coding examples, explaining optimized approaches, interview-focused solutions, problem-solving mindset, edge cases, and time and space complexity analysis.
DSA Session: Slow & Fast Pointers Fundamentals
Delivered an session on the Slow & Fast Pointer technique, covering its core concepts, pointer movement strategies, common use cases, and the intuition behind solving coding interview problems efficiently.
DSA Session: Slow & Fast Pointers Problem Solving
Solved Slow & Fast Pointer coding problems step by step, focusing on interview-ready solutions, problem-solving mindset, optimized approaches, and edge cases.
DSA Live Session: Arrays with Leetcode Problems
Delivered a live problem-solving session on LeetCode arrays, solving multiple array problems step by step while explaining the thought process, optimal approaches, and time and space complexity analysis.
Arrays (Part 2) with Leetcode Problems
Conducted a continuation session on array problem solving, covering more LeetCode challenges with a focus on pattern recognition, algorithmic thinking, optimized solutions, and coding best practices.
How React Achieves High Performance, Even With Extra Layers
Explains how React optimizes performance despite abstraction layers.
From Simple LLMs to Reliable AI Systems: Building Reflexion, Based Agents with LangGraph
The article covers why single-pass LLMs are unreliable and how Reflexion fixes this by making AI agents critique and retry their own outputs. LangGraph provides the infrastructure to wire that self-correction loop together.
JavaScript Execution Context Made Simple
Simplified breakdown of execution context and call stack.
How to Choose the Right AI Model for the Right Job
Explores different AI models, their strengths and trade-offs, and provides practical guidance on selecting the right model based on the problem, performance, cost, and real-world use case.
Retrieval-Augmented Generation (RAG): How It Works, 10 Advanced Techniques, and Common Limitations
Simplified breakdown of execution context and call stack.
Committed to staying current with the latest technologies and best practices
Certifications Achievements
Validating technical expertise through recognized certifications and competitive programming success.
ICPC Asia Topi Online Preliminary Contest
ICPC Foundation
Honorable Mention in the 2024 ICPC Asia Topi Online Preliminary Programming Contest.
Dev Weekends Bronze Fellowship
Dev Weekends
Awarded the Bronze Fellowship by Dev Weekends in recognition of steady effort, perseverance, continuous learning, and positive contribution throughout the fellowship journey.
AI Engineer Core Track: LLM Engineering, RAG, QLoRA & Agents
Udemy
Completed an advanced AI Engineering program covering Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), QLoRA fine-tuning, AI agents, vector databases, prompt engineering, and production-ready AI application development.
Microservices with Node.js and React
Udemy
Completed a comprehensive course on building scalable microservices using Node.js and React, covering event-driven architecture, Docker, Kubernetes, authentication, testing, CI/CD, and production-ready distributed systems.
AI Engineer Agentic Track: The Complete Agent & MCP Course
Udemy
Completed an advanced course on building autonomous AI agents using the Model Context Protocol (MCP), agent workflows, tool integration, memory, planning, and multi-agent systems for real-world AI applications.
Get In Touch
Ready to bring your ideas to life? Let's discuss your next project