Sneha Malik

Software Engineer

Delhi, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Proficient in React and Node.js for full-stack development.
Experience in EEG signal processing for healthcare applications.
Strong focus on clean code and problem-solving.

Stackforce AI infers this person is a Fullstack Developer with experience in SaaS and Healthcare industries.

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Skills

Core Skills

Front-end DevelopmentReactResearch And DevelopmentMachine Learning

Other Skills

APIsAgile DevelopmentAgile EnvironmentAlgorithmsBabel.jsC (Programming Language)C++CSSCascading Style Sheets (CSS)CommunicationContainerizationCritical ThinkingCross-browser CompatibilityDebuggingEEG signal processing

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Symbiotic consulting group

Software Developer

Apr 2025 – Present · 1 yr 1 mo · Remote

Helpy moto

Frontend Developer

Aug 2024 – Sep 2024 · 1 mo · Remote

As a Front-End Developer Intern at HelpyMoto, I had the opportunity to work on creating responsive, intuitive user interfaces using React, HTML, CSS, and JavaScript. My key responsibilities included:
Integrating APIs for real-time data fetching to improve the functionality and performance of the platform.
Collaborating with a talented team to optimize the platform's performance across multiple devices.
Ensuring a seamless and engaging user experience through careful debugging and code optimization.

ReactHTMLCSSJavaScriptAPIsFront-End Development

Defence research and development organisation (drdo)

Research And Development Intern

Jun 2024 – Jul 2024 · 1 mo · Timarpur delhi · Hybrid

During my internship at DRDO as a Research Intern, I worked on EEG signal processing with a focus on detecting epileptic seizures. My key responsibilities included:
Developing and optimizing a pipeline for processing multi-channel EEG data to detect seizure patterns.
Implementing feature extraction techniques and applying machine learning algorithms under the guidance of my mentor to analyze and classify EEG signals.
Collaborating with the team to assess model performance using various evaluation metrics to enhance detection accuracy.

EEG signal processingMachine learningFeature extractionResearch and DevelopmentMachine Learning