Priya Dharshini User
@priyadharshiniuser1
AI & ML engineer specializing in Python/SQL data science and practical machine learning solutions.
What I'm looking for
I’m an AI & ML engineer with practical experience gained through internships in data science and software development. I build and refine machine learning models, turn multi-source data into actionable insights, and deliver dashboards that stakeholders can use to make decisions.
I’ve developed real-world projects like Smart Spoon, where I used a CNN to predict optimal salt quantity from food images (improving dietary outcome accuracy by 92%). I also built RockyBot using LangChain, FAISS, and RAG pipelines to enable contextual search from live URLs—improving information retrieval efficiency by 30%—while focusing on clean integration and user-friendly interfaces.
Experience
Work history, roles, and key accomplishments
Java Full Stack Web Development (AI)
Tap Academy
Feb 2026 - Present (5 months)
Learning and applying Java full stack development concepts including Core Java, JDBC, Hibernate, Spring Boot, HTML, CSS, JavaScript, and SQL. Developing web application modules with front-end and back-end integration and using AI-powered coding assistance for efficiency.
Data Science Intern
Compsoft Technologies
Nov 2024 - May 2025 (6 months)
Cleaned, transformed, and analyzed multi-source datasets using Python and SQL. Built machine learning models and dashboards to surface business trends and automated reporting workflows to improve stakeholder reporting efficiency.
Junior Software Developer
Rooman Technologies
Feb 2024 - Jun 2024 (4 months)
Developed and optimized backend logic to improve application performance and efficiency. Worked with Git and RESTful APIs, collaborated with UI/UX teams, and contributed to documentation, sprints, and code reviews.
Education
Degrees, certifications, and relevant coursework
The Oxford College of Engineering, Bangalore
Artificial Intelligence and Machine Learning
2021 - 2025
Grade: GPA: 8.29
Studied Artificial Intelligence and Machine Learning at The Oxford College of Engineering, achieving a GPA of 8.29.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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