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@rahmatunnisakhatoon
Software engineer specializing in full-stack and AI-driven scalable solutions.
I am a software engineer with strong experience in full-stack development and AI-driven solutions, proficient in Java, Spring Boot, React, Angular, Python, TensorFlow and cloud deployments across AWS, Azure and GCP. I have built scalable distributed applications, real-time systems, and machine learning pipelines, improving prediction accuracy and application performance through rigorous optimization and CI/CD practices.
I have delivered production systems including RAG-based microservices on GKE, ANN models for bank churn prediction, and responsive full-stack platforms with secure OAuth 2.0 workflows. I collaborate effectively with cross-functional teams, document systems for maintainability, and leverage modern DevOps and monitoring tools to ensure reliability and sub-second responses in production.
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Work history, roles, and key accomplishments
IQBean Solutions
May 2024 - Present (1 year 6 months)
Developed ANN-based bank churn prediction improving accuracy by 40% and built a full-stack book-sharing application with real-time WebSocket updates and OAuth2/Azure AD authentication; implemented serverless backends on AWS achieving sub-second responses and a medical imaging model with 92% accuracy.
Implemented a full-stack generative AI solution using IBM WatsonX Discovery and modernized legacy Spring REST APIs, improving code quality by 80% and delivering a MongoDB-to-DynamoDB data migration for microservices interoperability.
Built and deployed containerized e-commerce microservices on AWS with Kubernetes and Docker, implemented event-driven inventory sync using Apache Kafka, and established CI/CD pipelines with Jenkins to improve deployment automation.
Degrees, certifications, and relevant coursework
Bachelor of Engineering, Computer Science
2017 - 2021
Activities and societies: Microsoft Student Society - Web Developer
Completed a Bachelor of Engineering in Computer Science with coursework in software development lifecycle, cloud computing, design patterns, and data structures; participated as a web developer in the Microsoft Student Society.
Software and tools used professionally
AWS Amplify
Microsoft Azure
GitHub
Kubernetes
Jenkins
NumPy
Pandas
MySQL
PostgreSQL
MongoDB
Cassandra
Gmail
Node.js
Django
Spring Boot
Spring MVC
Tailwind CSS
OpenCV
Redis
Terraform
jQuery
JavaScript
HTML5
Java
TensorFlow
Keras
Streamlit
Kafka
RabbitMQ
FastAPI
Linux
Azure Active Directory
Datadog
GraphQL
Milvus
Serverless
Vercel
JUnit
React Testing Library
Mockito
Webex
Redis Cloud
SQL
LangChain
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