Meet Oza

Software Engineer

Chennai, Tamil Nadu, India2 yrs 4 mos experience

Most Likely To Switch

Key Highlights

Proven expertise in Machine Learning and Data Science.
Developed user-centric AI model selection frameworks.
Achieved significant improvements in model accuracy.

Stackforce AI infers this person is a Machine Learning and Software Development specialist in the SaaS industry.

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Skills

Core Skills

Machine LearningSoftware DevelopmentData Science

Other Skills

Amazon Web Services (AWS)AngularJSBack-End Web DevelopmentBootstrapC++Cascading Style Sheets (CSS)Cloud ComputingComputer VisionConvolutional Neural Networks (CNN)Data AnalysisData StructuresData VisualizationDeep LearningFront-End DevelopmentHTML5

About

I am passionate about Technology and look out for different ways to contribute and learn in those areas. My strengths include strong communication skills, never give up attitude and decision making, with a keen appetite for newer avenues of learning. I like to take up challenging tasks and learns through experiences.

Experience

2 yrs 4 mos

Total Experience

9 mos

Average Tenure

1 yr 5 mos

Current Experience

Incedo inc.

2 roles

Software Engineer

Sep 2025 – Present · 9 mos · Chennai, Tamil Nadu, India · On-site

Software Engineer Trainee

Jan 2025 – Sep 2025 · 8 mos · Chennai, Tamil Nadu, India · On-site

Clappia ⢸ no-code platform

SDE

Oct 2024 – Dec 2024 · 2 mos · Bengaluru, Karnataka, India · On-site

Contributed to Clappia, enhancing user experience.
Implemented AI model selection framework allowing users to choose models according to their preferences and subscription tier, enabling seamless switching.
Ensured high code quality across microservices by implementing ESLint and writing Jest unit tests with 70% coverage.

Machine LearningSoftware Development

Institute of engineering & technology davv, indore

Research Intern

Sep 2023 – May 2024 · 8 mos · Indore, Madhya Pradesh, India

Pioneered advanced model optimization strategies, enhancing predictive robustness through data augmentation and transfer learning.
Achieved a 7% improvement in classification accuracy, surpassing results from over 10 peer-reviewed studies.

Machine LearningData Science