Nishita Shah

Software Engineer

London, England, United Kingdom6 yrs 11 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in Machine Learning and AI technologies.
Proficient in full-stack development with diverse programming languages.
Strong experience in developing applications for enterprise solutions.

Stackforce AI infers this person is a Software Developer with expertise in AI and web development.

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Skills

Core Skills

Software DevelopmentWeb DevelopmentMachine Learning

Other Skills

AlgorithmsAmazon Web Services (AWS)Android DevelopmentAndroid NDKAndroid SDKAndroid StudioArtificial Intelligence (AI)Artificial Neural NetworksBlue PrismBusiness StrategyCC (Programming Language)CSSCascading Style Sheets (CSS)Computer Science

About

Highly motivated and passionate Software Developer currently working for Amazon Development Center, Bangalore . Highly skilled in data structure, algorithms, Java, Object Oriented Programming, and Machine Learning, etc. Did my Bachelor of Technology in Computer Engineering from Nirma University, Ahmedabad.

Experience

6 yrs 11 mos

Total Experience

3 yrs 5 mos

Average Tenure

5 yrs 1 mo

Current Experience

Amazon

3 roles

Software development engineer 2

Mar 2025 – Present · 1 yr 3 mos

Amazon Web Services (AWS)Software Development

Software Development Engineer 2

Promoted

Apr 2023 – Mar 2025 · 1 yr 11 mos

Software Development Engineer 1

May 2021 – Apr 2023 · 1 yr 11 mos

Barclays

Software Developer

Jul 2019 – May 2021 · 1 yr 10 mos · Pune, Maharashtra, India

Bombardier

Intern

May 2019 – Jun 2019 · 1 mo · Vadodara, Gujarat, India

Developed a GUI application using PHP, JavaScript and CSS to track daily attendance of employees. The Fingerprint data was taken as punch in and punch out data. SMTP protocol is used for email notification. The Client- Server application is made for internal usage of the organization.

PHPJavaScriptCSSSMTPWeb Development

Samsung electronics

Intern

Jan 2019 – May 2019 · 4 mos · Noida, Uttar Pradesh, India

Developed a framework that captured different angles of static facial images from camera with the purpose of detecting gender.
Fabricated the Convolutional Neural Network based on the Xception architecture to boost gender detection model training performance.
Refined the exisiting beauty mode features of Samsung Camera application to suggest beauty features based on specific gender.
Integrated all these functionalities into an Android application.

Convolutional Neural Networks (CNN)Android DevelopmentMachine Learning