Available for new projects

Jalal Uddin
Software & AI Engineer

I build scalable web systems and applied AI solutions. Bridging the gap between complex engineering and user experience.

Tech Stack

Next.jsNestJSPostgreSQLPyTorchDocker
Jalal Uddin

Technical Arsenal

The stack I use to build production-ready applications.

Core & Backend

Next.js (App Router)NestJSTypeScriptReactPostgreSQLRedisSystem DesignJavaPHP

AI & Machine Learning

PyTorchLangChainRAG PipelinesOpenAI APIPythonVector DatabasesCNNs

DevOps & Cloud

DockerAWS (EC2, S3)CI/CD (GitHub Actions)NginxLinuxMySQL

Professional Experience

A track record of delivering high-performance software for companies and global clients.

Software Engineer (MERN)

Nov 2025 – Present
ByteVerse IT

Architecting scalable web solutions and optimizing backend performance for enterprise clients.

  • Reduced API response time by 40% using Redis caching strategies.
  • Led the migration of legacy codebases to Next.js App Router.
  • Implemented RBAC (Role-Based Access Control) across 3 production apps.

Freelance Developer

2024 – Present
Upwork & Fiverr

Delivering 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.

NexHire

NexHire

AI Recruitment Platform

Traditional keyword matching fails. NexHire uses Vector Search (RAG) to contextually match resumes with job descriptions.

Next.jsFastAPIPinecone+1
Code
IBTA - Training Platform

IBTA - Training Platform

EdTech Platform

A live coffee training center website. Features include course management, student registration, and a secure admin panel.

Next.jsNestJSMySQL+1
Event Buddy

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.

Next.jsNestJSPostgreSQL+2
Code
Tri-Gardening

Tri-Gardening

E-commerce Backend

Multi-role backend with JWT/OTP auth. Features optimized APIs with filtering/pagination and TypeORM relational schemas for complex order data.

NestJSTypeScriptPostgreSQL+1
Code
Anycomp

Anycomp

Specialist Platform

Production-grade replica of the Anycomp platform. Features RBAC for admins, relational schemas, and complex CRUD dashboards.

NestJSTypeScriptPostgreSQL+1
Code
Railway Ticketing

Railway Ticketing

Java System Application

Java-based automation for train ticket booking, fare calculation, and real-time seat reservation tracking.

JavaMySQLJDBC+1
Code
Stock Price Forecasting

Stock Price Forecasting

AI & Time Series

Predicting stock market trends using Time Series Forecasting models. Analyzes historical data to predict future values.

PythonPandasLSTM+1
Code
Face Recognition CNN

Face Recognition CNN

Computer Vision

A Deep Learning model using Convolutional Neural Networks (CNNs) to detect and recognize faces with high accuracy.

Deep LearningCNNKeras+1
Code
Urban Building CBAM

Urban Building CBAM

Computer Vision Research

Implemented Convolutional Block Attention Module (CBAM) for high-precision segmentation of urban buildings in satellite imagery.

PyTorchCBAMComputer Vision+1
Code
Applied Intelligence

AI & Research

Bridging the gap between theoretical Machine Learning and real-world production systems.

Publication

Thyroid Cancer Recurrence Prediction

Researcher

A comparative analysis of Machine Learning models to predict thyroid cancer recurrence reliability. Published on ResearchGate.

Machine LearningHealthcare AIPredictive Modeling
Thesis (In Press)

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.

Ensemble LearningXAI (SHAP/LIME)PythonMedical AI
Applied AI

Urban Building Segmentation

AI Researcher

Implemented Convolutional Block Attention Module (CBAM) for high-precision segmentation of urban buildings in satellite imagery.

Computer VisionCBAMPyTorchSegmentation

ResearchGate Profile

View full publications and citations

View Profile

Beyond Code

Continuous learning and leadership are the pillars of my career growth.

Certifications & Awards

Supervised Machine Learning

Coursera (Stanford/DeepLearning.AI)2024

Mastered Regression and Classification algorithms. Built predictive models using Python, NumPy, and Scikit-learn.

National Data Analytics Competition

NDAC 20252025

Participant in the 'Data Visionary' track. Solved complex datasets to derive actionable business insights under time constraints.

Leadership

Graphic Design Head

AIUB Photography Club

Led the creative team to produce visual content for university events. Improved team workflow and mentored 10+ junior designers.

LeadershipAdobe Creative SuiteTeam Management

Get in touch

Contact Me

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© 2026 Jalal Uddin.