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Full Stack Java Developer @ Nakisa | AI Engineer | AI Automation | RAG | MCP | Spring Boot | Microservices | Spring Cloud | REST API | Hibernate | AWS | CI&CD | Vue | Quasar | MySQL | Backend | Crypto | Blockchain | n8n
👋 I’m a Software Engineer with 6+ years of hands-on experience in building scalable enterprise applications using Java, Spring Boot, Microservices, Vue.js, and Quasar. I specialize in developing reliable backend systems, REST APIs, cloud-ready applications, and smooth deployment workflows using Docker, Jenkins, CI/CD pipelines, Kubernetes, and AWS. 💻 Core Technical Skills: • Java | Spring Boot | Microservices • Vue.js | Quasar | REST APIs • MySQL | Git | Jira • Docker | Jenkins | CI/CD • Kubernetes | AWS 🤖 AI & Modern Technology Focus: Along with my core software engineering background, I have been actively expanding my expertise in Artificial Intelligence, AI Agents, MCP, Prompt Engineering, and AI Automation. I have completed multiple AI-focused courses, including practical learning around building AI agents, integrating external tools and data sources, and understanding how AI systems can be applied in real-world software products. 🚀 What I Enjoy: • Solving complex technical problems • Learning and applying new technologies quickly • Building scalable and maintainable systems • Working with cross-functional teams • Combining traditional software engineering with modern AI capabilities I’m passionate about building smarter, more efficient, and future-ready applications by combining strong software engineering practices with AI-powered solutions. I’m always open to new opportunities, collaborations, and ideas in software engineering, AI automation, and intelligent application development. Let’s connect and build the future of technology together.
University of the Punjab
Bachelor of Science - BS, Software Engineering
January 1, 2015 – January 1, 2019
Punjab Group Of Colleges
Intermediate, Pre-Engineering
January 1, 2013 – January 1, 2015
Qurban Boys High School
Matriculation, Science
January 1, 2011 – January 1, 2013
Nakisa
Full Stack Java Developer
February 1, 2024 – Present
Lahore, Punjab, Pakistan · On-site
ByTrade
Backend Java Developer
October 1, 2022 – November 1, 2023
Dubai, United Arab Emirates · On-site
DDP China Center
Java Developer
June 1, 2022 – September 1, 2022
Dubai, United Arab Emirates · On-site
Nakisa
Software Developer
November 1, 2019 – May 1, 2022
Lahore District, Punjab, Pakistan · On-site
MoonPay Crypto Payment Gateway
February 1, 2023 – March 1, 2023
Integrated APIs of MoonPay payment gateway to the ByTrade Exchange.
Flow Codes in the Asset Accounting Determination
November 1, 2021 – February 1, 2022
This feature encompassed configuring "Flow Code", managing posted documents, and efficiently storing them in the database. Additionally, it will generate reports tailored to specific document types, all while considering critical CR/DR indicators. Ensuring seamless integration with GL (General Ledger) accounts was integral to this feature's success, contributing significantly to a well-structured and optimized workflow.
Emotions Detection using Deep Learning
September 1, 2018 – June 1, 2019
My Final Year Project, the purpose of which was to detect the six basic and one neutral facial expressions of human beings. It was an R&D project. Our team was of four members and I was a Team Lead. We collected the dataset from Kaggle database and trained, validated, and tested it on real time images. Our biggest achievement was that we improved the accuracy of code from 58% to 68% by using Convolutional Neural Networks, data augmentation, and many pre-processing techniques. Our paper is under supervision and progress.
Facial Keypoint Detection
September 1, 2018 – February 1, 2019
A Data Science Project in which we analyzed and trained the data for the detection of facial keypoints using dataset imported from kaggle database by using various libraries like Keras, PyTorch, Scikit-Learn, Tensor Flow, and Pandas to understand it. Understanding of code and deep learning was our huge achievement in this project.
Doctor Plus | Android App
March 1, 2018 – June 1, 2018
It was an Android Application in java created by me and my friend. This app contains 3 screens for patient, doctor and admin. It provides a platform where a patient can search and appoint doctor according to his desired needs. Doctor can login to accept/reject appointment. Admin can manage all the records.
Next Lancer Website
March 1, 2017 – July 1, 2017
It was my Database Systems projects in which I developed UI on Microsoft Excel and write SQL queries on Oracle 10 g. ERD was developed using Visio.
Screen Saver
September 1, 2016 – February 1, 2017
I have done this project using Assembly Language.
The Complete Prompt Engineering for AI Bootcamp (2025)
Udemy
June 23, 2026 – Present
Convolutional Neural Network
Coursera
June 23, 2026 – Present
SQL Fundamentals Course
Sololearn
June 23, 2026 – Present
HTML Fundamentals Course
Sololearn
June 23, 2026 – Present
CSS Fundamentals Course
Sololearn
June 23, 2026 – Present
JavaScript Tutorial Cours
Sololearn
June 23, 2026 – Present
C++ Tutorial Course
Sololearn
June 23, 2026 – Present
C# Tutorial Course
Sololearn
June 23, 2026 – Present
Java Tutorial Course
Sololearn
June 23, 2026 – Present
Coding Knights - Programming Competition
Punjab University College of Information Technology,(FCIT),Lahore
June 23, 2026 – Present
Artist
Punjab Group Of Colleges
June 23, 2026 – Present
Proctor
Punjab Group Of Colleges
June 23, 2026 – Present
Freelancing Crash Course
Punjab University College of Information Technology,(FCIT),Lahore
June 23, 2026 – Present
Flutter Development
June 23, 2026 – Present
Claude Code in Action
Anthropic
June 23, 2026 – Present
Introduction to AI
June 23, 2026 – Present
Maximize Productivity With AI Tools
June 23, 2026 – Present
Discover the Art of Prompting
June 23, 2026 – Present
Use AI Responsibly
June 23, 2026 – Present
Google AI Essentials
June 23, 2026 – Present
Stay Ahead of the AI Curve
June 23, 2026 – Present
Fundamentals of Building AI Agents
IBM
June 23, 2026 – Present
Generative AI and LLMs: Architecture and Data Preparation
IBM
June 23, 2026 – Present
AI Automation: Build LLM Apps & AI-Agents with n8n & APIs
Udemy
June 23, 2026 – Present
Vector Databases: An Introduction with Chroma DB
IBM
June 23, 2026 – Present
Transformer Models and BERT Model
June 23, 2026 – Present
Build AI Agents using MCP
IBM
June 23, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio shows a mix of backend development, mobile app development, and academic research in deep learning. While there's a clear interest in AI/ML through certifications and academic projects, the professional experience is predominantly in Java full-stack/backend development. This suggests a potential pivot towards ML Engineering, which might require additional focus on core ML engineering practices in a professional setting. The diversity of projects and continuous learning (certifications) indicate a proactive and adaptable individual.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a collaborative spirit and problem-solving aptitude, particularly in the 'Emotions Detection' project where they led a team and improved accuracy. Experience in full-stack development and working with cross-functional teams at Nakisa indicates adaptability and operational fit for diverse development environments.