Parth Desai

Software Engineer

Mumbai, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Developed AI solutions for governance initiatives.
Achieved 92% accuracy in agricultural price predictions.
Improved testing efficiency by 20% through reusable test cases.

Stackforce AI infers this person is a Full-Stack Developer with a focus on Machine Learning and Quality Assurance in the SaaS and Fintech sectors.

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Skills

Core Skills

Full-stack DevelopmentMachine LearningQuality Assurance

Other Skills

Backend DevelopmentDatabase OptimizationFrontend DevelopmentAPI DevelopmentMachine Learning PipelineData PreprocessingRegression ModelsFunctional TestingRegression TestingUsability TestingSoftware Testing Life Cycle (STLC)Automated Software TestingPlaywrightMultilingual NLPLightGBM

About

A B.Tech Information Technology student with hands-on experience in web development, machine learning, and software testing. Focused on delivering purposeful technology with a strong interest in continuous learning and real-world impact.

Experience

0 mo

Total Experience

Average Tenure

Current Experience

The commonwealth

Software Engineer Intern

Jan 2025 – May 2025 · 4 mos · Hybrid

Developed backend architecture for an AI prototype supporting peace and governance initiatives under the Governance and Peace Directorate.
Designed and implemented core logic and optimized database operations, reducing API response time by 30%.
Contributed to frontend development using React and ensured seamless integration between frontend and backend components.
Enabled system functionality that increased data processing efficiency by 40%, directly aiding policy research.

Backend DevelopmentDatabase OptimizationFrontend DevelopmentAPI DevelopmentFull-Stack DevelopmentMachine Learning

Kj somaiya college of engineering, vidyavihar

Machine Learning Intern

Dec 2024 – Feb 2025 · 2 mos · Mumbai, Maharashtra, India · On-site

Built a machine learning pipeline for predicting agricultural commodity prices using linear and ensemble regression models.
Conducted extensive data preprocessing, improving data quality and reducing model error rate by 25%.
Delivered a solution that achieved 92% R² score on test data, enhancing market forecast accuracy for farmers and traders.

Machine Learning PipelineData PreprocessingRegression ModelsMachine Learning

Smudg

SDET Intern

Jul 2024 – Aug 2024 · 1 mo · Remote

Conducted functional, regression, and usability testing across 3 product lines, identifying 50+ critical bugs and reducing post-release issues by 35%.
Developed reusable test cases, streamlining QA workflows and improving testing efficiency by 20%.

Functional TestingRegression TestingUsability TestingQuality Assurance