Hello, Isha Kulkarni here 👋

MSc Computer Science @ University of Southampton | AI/ML, GenAI | Developer | Researcher

Isha Kulkarni
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About Me

  • Passionate about AI/ML, Generative AI, and software development.
  • Experienced in building LLM-driven automation workflows and testing solutions.
  • Eager to explore research opportunities in AI and contribute to innovative projects.

Technical Skills 💻

A quick overview of the core technologies and domains I work with.

Programming Languages

Python Java JavaScript HTML/CSS

Frameworks & Libraries

React.js LangChain TensorFlow PyTorch Pandas NumPy Scikit-Learn PySpark Hugging Face Azure OpenAI

Databases

MySQL MongoDB

Developer Tools

GitHub AWS VS Code PyCharm Jupyter Colab Power BI Tableau

AI & ML Skills

Machine Learning Generative AI LLMs RAG Prompt Engineering Fine-Tuning AI Agents

Additional Skills

DSA Data Visualization Salesforce

Experience 📈

Nov 2025 – Present

Student Ambassador & Co-Design Panel Contributor @

University of Southampton | Southampton, UK

Aug 2023 – Jul 2025

Python Generative AI Developer @

Persistent Systems Ltd. | Pune, India

Nov 2022 – Jul 2023

Python Developer Intern @

Revyamp Consultancy | Pune, India

Projects 💡

GenAI-Based UI Testing Solution

Python Flask LLMs RAG REST APIs
GenAI UI Testing preview
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Built a Python/Flask tool that uses LLMs to generate UI test scripts from object repositories and scenarios, cutting manual script creation time by ~50% and improving consistency across teams.

Test Script Migration Framework

Python Selenium Streamlit FastAPI
Migration framework preview
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Migrated Protractor (JS/TS) E2E tests into Python Selenium suites using LLM-based translation, producing maintainable Pytest/BDD-ready scripts from uploaded legacy test files.

Malicious Activity Detection on Social Media

Python NLP ML OCR
Malicious activity preview
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Built an ML + NLP pipeline to detect spam, fake accounts, and hate speech with strong classification performance using engineered features and model evaluation metrics.

Human Activity Recognition Using Wearable Sensors

Python Time-Series ML CNN
HAR preview
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Implemented a full HAR pipeline on accelerometer data with windowing, feature engineering, and model comparisons (GMM, Random Forest, CNN) using macro-F1 and confusion matrices.

Education 📚

Academic foundation in computer science and applied AI.

UoS
University of Southampton
Master of Science in Computer Science
2025 – Ongoing
SPPU
Savitribai Phule Pune University
Bachelor of Engineering in Information Technology
2019 – 2023

Get In Touch ✉️

For collaborations, research opportunities, or projects, feel free to reach out.

Contact Information

Location
University of Southampton
Southampton, SO17 1BJ, UK

Send Me a Message