AI Developer

AISHWARYA

· *******@*****.*** 919-***-****· Cary, NC · GitHub · LinkedIn

TECHNICAL SKILLS

Programming Languages: Python, R, Java, C/C++, Swift, JavaScript, HTML/CSS, PHP

Frameworks & Libraries: Flask, FastAPI, Bootstrap, PyTorch, scikit-learn, SpaCy, Pandas, NumPy, SQLAlchemy

Databases & Tools: MySQL, PostgreSQL, SQLite, Git/GitHub, Azure, VS Code, PyCharm, Jupyter, Xcode, Eclipse Specializations: Machine Learning & Data Science, Natural Language Processing, Full-Stack Web Development, API Development, Backend Architecture

PROFESSIONAL EXPERIENCE

AI Developer intern ArtiQlabs Raleigh, NC 03/2025 – 08/2025

Fine-tuned generative language models for SocialWay.ai, an AI powered social media management platform that creates personalized content and automates posting for users.

Led integration of YouTube and TikTok as new supported platforms, expanding the application's reach and user engagement capabilities

Contributed to UX/UI design improvements, creating intuitive interfaces for AI-generated content review and platform management.

Improved AI-generated content quality through prompt engineering and domain-aligned model adjustments

Participated in agile sprints, backlog grooming, and feature delivery syncs across engineering and product teams.

Data Analyst intern SunTechPros Inc Morrisville, NC 07/2024 - 09/2024

Performed exploratory data analysis (EDA) using Python and SQL to uncover trends in IT consulting, supporting strategic decision-making.

Identified key insights from IT service data, helping the company optimize resource allocation and refine service offerings.

Presented findings to leadership, leading to measurable improvements in client satisfaction and operational efficiency.

Student Teacher Best Brains Cary, NC 05/2019 - 01/2022

Tutored up to 6 students per session in mathematics, covering algebra, geometry, trigonometry, and abacus.

Developed personal lesson plans, leading to a 23% improvement in student test scores.

Integrated technology-based learning tools to enhance engagement and comprehension.

PROJECTS

Project 1:

Housing Crash Simulator Economic Forecasting ML Model 08/2025 Technologies: Python, scikit-learn, Pandas, Streamlit, Tableau, Ridge Regression

Developed machine learning model to simulate U.S. housing market crash scenarios using 20 years of economic data (2003-2022)

Engineered time-based features and evaluated multiple models (Decision Tree, Ridge Regression) achieving optimal performance with lowest MAE and highest R .

Built interactive Streamlit dashboard enabling "what-if" scenario testing for interest rates, unemployment, and mortgage rate fluctuations

Project 2:

ShelfWorthy Book Recommendation Platform 05/2025 Technologies: Python, SQLite, SpaCy, BlueSky API, NLP

Engineered a collaborative book recommendation platform integrating BlueSky API for trend-based suggestions.

Designed a normalized database in SQLite to support personalized recommendations at scale.

Built advanced NLP pipelines using SpaCy for real-time named entity recognition and genre classification.

Fine-tuned rule-based extractors specifically optimized for social media text processing.

Implemented comprehensive test suites using pytest to ensure code reliability and maintainability.

Project 3:

Alzheimer’s Disease Risk Factors Analysis Data Science Project: 12/2024 Technologies: R, Statistical Modeling, EDA

Performed comprehensive EDA on 2,143+ patient records to identify Alzheimer's disease risk factors.

Built and validated logistic regression model demonstrating strong predictive capability for clinical risk assessment.

Discovered that MMSE scores and activities of daily living (ADL) scores were strong negative predictors, indicating that better cognitive and functional ability reduced diagnosis likelihood.

Generated actionable insights for healthcare professionals on demographic and lifestyle risk factors

Project 4:

Weather Application Full Stack Project: 06/2023 Technologies: Python, Flask, SQLite, OpenWeatherMap API, Bulma CSS

Developed real-time weather application with location-based current conditions and 7-day forecasting.

Implemented efficient city management system with add/remove functionality and data persistence.

Optimized backend using Flask framework with SQLite for streamlined data storage and retrieval.

Integrated with OpenWeatherMap API for accurate, up-to-date meteorological data.

EDUCATION

Meredith College

Bachelor of Science in Computer Science, Minor in Data Science 05/2025

Relevant Courses: Computer Organization, Object-Oriented Programming, Web Development and Databases, Data Structures and Algorithms, Software Engineering, Discrete Mathematics, Foundations of Data Science, Mobile App Development Swift, Regression and Linear Models

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