I’m Hakima Banoo, a software engineer with a strong background in building full-stack web features and REST APIs using JavaScript, React, Node.js, and MongoDB. I enjoy working in agile teams, turning sprint goals into clean, usable UI components like login and landing pages, and designing database schemas that support reliable application behavior. I also have hands-on experience with machine learning for anomaly detection, including preprocessing audio signals and improving detection accuracy through feature engineering with Python, Pandas/NumPy, and deep learning models. From audio anomaly detection to ECG anomaly detection using ResNet, I focus on rigorous experimentation, clear visualization, and practical results that help evaluation and reporting.

Hakima Banoo

I’m Hakima Banoo, a software engineer with a strong background in building full-stack web features and REST APIs using JavaScript, React, Node.js, and MongoDB. I enjoy working in agile teams, turning sprint goals into clean, usable UI components like login and landing pages, and designing database schemas that support reliable application behavior. I also have hands-on experience with machine learning for anomaly detection, including preprocessing audio signals and improving detection accuracy through feature engineering with Python, Pandas/NumPy, and deep learning models. From audio anomaly detection to ECG anomaly detection using ResNet, I focus on rigorous experimentation, clear visualization, and practical results that help evaluation and reporting.

Available to hire

I’m Hakima Banoo, a software engineer with a strong background in building full-stack web features and REST APIs using JavaScript, React, Node.js, and MongoDB. I enjoy working in agile teams, turning sprint goals into clean, usable UI components like login and landing pages, and designing database schemas that support reliable application behavior.

I also have hands-on experience with machine learning for anomaly detection, including preprocessing audio signals and improving detection accuracy through feature engineering with Python, Pandas/NumPy, and deep learning models. From audio anomaly detection to ECG anomaly detection using ResNet, I focus on rigorous experimentation, clear visualization, and practical results that help evaluation and reporting.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate

Language

English
Fluent

Work Experience

Software Engineer II at HCLSoftware
September 1, 2025 - March 1, 2026
Built frontend components like login and landing pages using React, JavaScript, HTML, and CSS. Developed backend REST APIs and database schemas using Node.js and MongoDB. Delivered full-stack features across sprint cycles in a cross-functional agile team, collaborating to complete requirements and ensure smooth integration between client and server components.
Machine Learning Intern at Indian Institute of Technology Delhi
December 1, 2023 - February 1, 2024
Developed a data preprocessing pipeline using Python, Pandas, and NumPy for audio signal analysis. Improved anomaly detection accuracy by 20% using advanced feature engineering techniques. Visualized model performance using Matplotlib to support evaluation and reporting workflows, strengthening the end-to-end ML development process.

Education

B.Tech (Information Technology) at National Institute of Technology Srinagar
August 1, 2021 - July 1, 2025
PCM (Non Medical) at Govt. Higher Secondary School Trespone Kargil
January 1, 2020 - May 1, 2021

Qualifications

Bachelors
August 1, 2021 - July 27, 2025

Industry Experience

Software & Internet, Education, Computers & Electronics