Stack Developer Fort Wayne

Qurratul Ain Quais

********.*****@*****.*** 260-***-**** Fort Wayne, IN Willing to relocate

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EDUCATION

Purdue University August 2024 – May 2026

Masters in Computer Science Fort Wayne, IN

National Institute of Technology Raipur (NITRR) July 2015 – May 2019 Bachelor of Technology (GPA 9.32/10) Raipur, India WORK EXPERIENCE

Oracle– (Global Leader in Cloud and Enterprise Solutions) February 2022 – July 2024 Senior Applications Engineer (Full Stack Developer) India

Redesigned and optimized user interfaces for Virtual Card management, enhancing PPR templates and submission workflows, reducing user interaction time by 30%, and increasing overall efficiency by 20% for Oracle Fusion Payments.

Led the integration of reputed payment gateways into Oracle Fusion Payments Cloud Service, optimizing reconciliation processes and reducing transaction times by 35% while ensuring 100% PCI compliance.

Developed and enhanced External Bank Account REST APIs for HCM applications, improving error handling and performance by 25%, while introducing feature extensions to support new use cases.

Improved API workflows for Oracle HCM by combining three sequential API calls into a single batch operation, reducing database roundtrips by 40% and ensuring seamless rollback handling for consistent data integrity.

Designed and implemented the IBY Payment Common UI component, integrating gateways like CyberSource, PayPal, and TouchNet, with optimized workflows for payment timers, method selection, and event handling, ensuring a seamless user experience.

Identified and resolved critical accessibility issues to enhance the usability of the application for individuals with disabilities by 30%, ensuring compliance with accessibility standards.

Trained and mentored a team of interns and new hires, providing guidance on technical skills and best practices, leading to improved team productivity and smoother onboarding processes. Wipro Limited– (Global IT, Consulting, and Business Services Leader) June 2019 – February 2022 Senior Software Engineer (Backend Developer) India

Developed a resilient Transaction Service, ensuring 99.9% system uptime during global payment gateway downtimes, significantly enhancing system reliability and continuity.

Optimized system performance to handle over 1,000 transactions per second by implementing Redis DB caching, reducing latency by 40% during peak transaction loads.

Performed performance testing and analysis using AppDynamics, identifying and resolving bottlenecks to improve transaction throughput by 35% under high-load conditions.

Deployed and tested microservices, contributing to a scalable architecture with a 25% reduction in deployment time, and gained expertise in microservice architecture and RESTful API design. POSITIONS OF RESPONSIBILITY

TEACHING ASSISTANT January 2024 – Present

Computer Networks USA

Assisting undergraduate students in clarifying doubts and understanding complex concepts in Computer Networks, providing additional support beyond classroom instruction.

Evaluating assignments and exams, ensuring fairness and providing feedback to help students improve their grasp of the subject.

RESEARCH ASSISTANT December 2025 – Present

Quantum Generative Adversarial Networks in Generative Chemistry USA

Currently exploring the integration of hybrid quantum-classical Generative Adversarial Networks

(GANs) for de novo small molecule discovery.

Aiming to contribute to the advancement of quantum applications in pharmaceutical R&D, focusing on scalable AI-driven drug discovery.

SKILLS

Programming: Java, React, SQL (MySQL, PostgreSQL), PLSQL, JavaScript, Python, HTML, CSS, cloud computing, DevOps, data visualization, Spring, Spring Boot, NoSQL, backend, Linux, JSON, problem-solving, Redis, TypeScript, Angular, Excel, Oracle, database, REST APIs, Kubernetes, CI/CD, AJAX, Jenkins, Unix, Hibernate, MongoDB, Oracle ADF, Oracle JET, Junit, Oracle Visual Builder

Machine Learning: Natural Language Processing, Transformer Models, LSTM, Logistic Regression, GAN Cloud Tools: AWS, Git, Microsoft Office Suite, Outlook, Bitbucket Big Data: Python (numpy, pandas, scikit learn, PyTorch, TensorFlow, matplotlib), Docker Data Science: A/B testing, ETL, Data Science pipelines (cleansing, wrangling, visualization, modeling, interpretation), Statistics, Time-series, Experimental Design, Hypothesis testing, data analytics Coursework: Algorithm Design Analysis and Implementation, Natural Language Processing, Software Engineering, Database Systems, Full Stack Web Development, Software Project Management, Database Management Systems, Artificial Intelligence and Neural Network, Bioinformatics, Medical Image Processing, Biomedical Signal Processing, Microprocessor, Microcontroller, Telemedicine, Communication skills, Mathematics, Numerical Analysis. PROJECTS

OFFENSIVE TEXT DETECTOR August 2024 – December 2024 Detecting Offensive Text Using Natural Language Processing USA

Designed and implemented machine learning and NLP models, including Logistic Regression, LSTM, and DistilBERT, for offensive language detection.

Achieved 94% accuracy and 0.92 PR-AUC using DistilBERT with a two-phase training strategy and balanced datasets, ensuring robust performance across multiple toxicity categories.

Deployed an interactive demo for real-time toxicity classification using Hugging Face Spaces. TEMPLE MANAGEMENT SYSTEM October 2024 – December 2024 React Website USA

Improved functionalities based on user feedback, optimizing the user experience and increasing user satisfaction by 20%.

Designed intuitive interfaces and collaborated on integrating security features, payment systems, and back-end APIs.

Enhanced core functionalities, including appointment management, live streaming, and comprehensive event scheduling, ensuring seamless operations for end-users. EEG SIGNAL CLASSIFICATION May 2018 – July 2018

Visualization and Classification for EEG Signal Analysis India

Developed a system for visualization and classification of EEG signals using the Support Vector Machine

(SVM) algorithm, analyzing data from AIIMS for Dementia, Mild Cognitive Impairment (MCI), and Control patients.

Preprocessed EEG data with noise filtering techniques, improving signal quality and classification accuracy by 15%.

Achieved an 85% classification accuracy in distinguishing between Dementia, MCI, and Control groups, demonstrating the effectiveness of SVM in medical data analysis.

Created detailed visualizations of EEG patterns, providing interpretable insights into neurological conditions for clinical research.

ACHIEVEMENTS

- Published three research papers in reputed peer-reviewed journals, including Springer US, Springer Berlin Heidelberg, and Elsevier:

2022

- Department Topper and Gold Medalist for my Undergraduate studies: 2019

- Best College Representative for UNNAT BHARAT ABHIYAN: 2017

- Awarded Best Volunteer for representing Adore India in Civil Rights and Social Action: 2016

- Coordinator, Robotics Club, NIT Raipur, driving technical workshops: 2016

- Achieved a top 0.76% rank in JEE Mains, out of 1.5 million students: 2015

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