Jalal Uddin
Software & AI Engineer
I am Jalal Uddin, a Full Stack Web Developer specializing in Next.js and NestJS. I have completed my BSc in Computer Science and Engineering from AIUB. Passionate about backend development and AI integration. I also have experience in System Design. I am a quick learner and thrive in team environments.
Tech Stack
Technical Arsenal
The stack I use to build production-ready applications.
Core & Backend
AI & Machine Learning
DevOps & Cloud
Educational Journey
American International University - Bangladesh (AIUB)
Jan 2022 – Jan 2026Dhaka Imperial College
June 2018 – April 2020Gouripur SA High School
Jan 2016 – Feb 2018Professional Experience
A track record of delivering high-performance software for companies and global clients.
Jr. Software Engineer
Feb 2026 – PresentDeveloping scalable web applications and implementing full-stack features for enterprise clients.
- Develop and maintain scalable web applications using React.js and Node.js with TypeScript.
- Design and implement RESTful APIs and integrate frontend components with backend services.
- Work with PostgreSQL and MongoDB for CRUD operations, schema design, and data validation.
- Perform testing, debugging, and deployments using Git-based workflows and CI/CD pipelines.
Software Engineer Intern
Nov 2025 – Jan 2026Architecting scalable web solutions and optimizing backend performance for enterprise clients.
- Assisted in building frontend and backend modules using React.js and Node.js.
- Supported API development, testing, and debugging in collaborative development environments.
- Worked with databases and version control systems to contribute to production features.
Freelance Developer
2025 – PresentDelivering end-to-end full-stack applications and AI automation tools for global clients.
- Completed 5+ projects with a 5-star rating average.
- Built custom AI Resume Screening tools for HR startups.
- Developed high-performance e-commerce backends handling 10k+ SKU data.
Featured Projects
Complex systems architected for scalability, security, and real-world impact.
Traditional keyword matching fails. NexHire uses Vector Search (RAG) to contextually match resumes with job descriptions.
Event Buddy
Event Booking Platform
Real-time booking system with RBAC (Admin/User) and Zod validation. Features seat availability tracking, event CRUD, and secure image handling.
Multi-role backend with JWT/OTP auth. Features optimized APIs with filtering/pagination and TypeORM relational schemas for complex order data.
Production-grade replica of the Anycomp platform. Features RBAC for admins, relational schemas, and complex CRUD dashboards.
Stock Price Forecasting
AI & Time Series
Predicting stock market trends using Time Series Forecasting models. Analyzes historical data to predict future values.
Face Recognition CNN
Computer Vision
A Deep Learning model using Convolutional Neural Networks (CNNs) to detect and recognize faces with high accuracy.
Urban Building CBAM
Computer Vision Research
Implemented Convolutional Block Attention Module (CBAM) for high-precision segmentation of urban buildings in satellite imagery.
AI & Research
Bridging the gap between theoretical Machine Learning and real-world production systems.
Thyroid Cancer Recurrence Prediction
Researcher
A comparative analysis of Machine Learning models to predict thyroid cancer recurrence reliability. Published on ResearchGate.
Ensemble Framework for Glioma Grading
Researcher
Achieved 94.05% accuracy using a Stacking Ensemble (GB + LR) model. Integrated Explainable AI (SHAP & LIME) to identify key mutation markers like IDH1/2 and TP53.
ResearchGate Profile
View full publications and citations
Beyond Code
Continuous learning and leadership are the pillars of my career growth.
Certifications & Awards
Mastered Regression and Classification algorithms. Built predictive models using Python, NumPy, and Scikit-learn.
Leadership
Graphic Design Head
AIUB Photography ClubLed the creative team to produce visual content for university events. Improved team workflow and mentored 10+ junior designers.