NITHISH KUMAR RAJU

Business Development Executive

Bengaluru, Karnataka, India0 mo experience

Key Highlights

Full Stack Developer with expertise in modern web technologies.
Experience in developing scalable web applications and enhancing UI/UX.
Strong background in deep learning and data science projects.

Stackforce AI infers this person is a Full Stack Developer with a strong focus on SaaS and AI/ML applications.

Contact

202011046@diu.iiitvadodara.ac.in LinkedIn

Skills

Core Skills

Full-stack DevelopmentWeb DevelopmentDeep LearningData Science

Other Skills

Analytical SkillsAnalyticsBack-End Web DevelopmentBootstrapBusiness AnalysisC (Programming Language)Cascading Style Sheets (CSS)CommunicationComputer ScienceConvolutional Neural Networks (CNN)Data StructuresDatabase Management System (DBMS)DatabasesDesignE-Commerce

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Meesho

Business Analyst

Dec 2024 – Present · 1 yr 6 mos · Bengaluru, Karnataka, India

Brane group

Associate Solution Leader

Sep 2024 – Sep 2024 · 0 mo · Hyderabad, Telangana, India

Oruphones

Full Stack Developer

Jan 2024 – Jul 2024 · 6 mos · Rajasthan · Remote

Worked on Oruphones Web platform [ React.js, Next.js, JavaScript, TypeScript, Tailwind CSS, Node.js, MongoDB ]
Developed Key Features: Contributed to the development of essential
platform functionalities, including dynamic image handling and price
comparison, enhancing user engagement and operational efficiency.
Enhanced UI/UX: Led the redesign of UI components, improving cross device consistency and accessibility.
Optimized System Performance: Resolved critical bugs, reducing user access times by 15% on key pages and improving overall platform stability and user satisfaction.
Worked closely with cross-functional teams in an Agile environment,
participating in daily Scrum meetings and contributing to continuous
feature releases and code reviews.

React.jsNext.jsJavaScriptTypeScriptTailwind CSSNode.js+3

Indian institute of information technology vadodara

Research Assistant

Dec 2022 – Mar 2023 · 3 mos · Diu, Daman and Diu, India · On-site

Worked on project Hand Written Roman Numeral Recognition (1 to 50) [ Tensorflow, Keras, Pandas, Python ]
Contributed in collecting and preprocessing a large dataset (35000 images) of 1 to 50 Roman numerals and developed a deep learning model using convolutional neural networks (CNNs).
Utilized TensorFlow API for hyperparameter(hp) tuning, selecting the optimal model with the best performance
features.
Compared our model with different pre-defined models like resnet(61%), vgg16(78%) and densenet(52%).

TensorFlowKerasPandasPythonDeep LearningData Science