Open to opportunities

Aastha Khatgarh

@aasthakhatgarh

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Machine Learning Engineer skilled in NLP and scalable ML systems.

United States

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What I'm looking for

I am looking for a role that fosters innovation, collaboration, and growth opportunities in AI and machine learning.

I am a Machine Learning Engineer with a Master’s in Artificial Intelligence, specializing in advanced NLP techniques and scalable ML systems. My hands-on experience allows me to transform complex data into actionable insights, building production-ready solutions that drive significant business value. I pride myself on being collaborative, a fast learner, and focused on continuous improvement.

Throughout my career, I have engaged in various projects, including developing a PPO-based reinforcement learning framework and automating data extraction processes. My work at Northwestern University and Allegion has equipped me with the skills to analyze data effectively and propose strategies that lead to substantial improvements in operational efficiency. I am passionate about leveraging my technical expertise to solve real-world problems and contribute to innovative projects.

Experience

Work history, roles, and key accomplishments

Current

AI Researcher

Current

Northwestern University

Jan 2025 - Present (6 months)

Developed a PPO-based reinforcement learning framework to unlearn restricted content from LLMs while preserving fluency and coherence. Engineered a hybrid reward system to suppress specific tokens without causing catastrophic forgetting.

PyTorch Prompt Engineering PEFT)Reinforcement Learning LLMs)

Current

Data Analytics & Machine Learning Fellow Trainee

Current

ElevateMe Bootcamp

Jun 2025 - Present (1 month)

Engaged in 150+ hours of hands-on learning and project work, applying data analytics and machine learning techniques to address real-world problems. Utilized advanced tools such as Python, Jupyter Notebooks, Pandas, Numpy, Matplotlib, Seaborn, and Scikit-learn to build and evaluate machine learning models.

Python Jupyter Notebooks Pandas NumPy Matplotlib SeaBorn scikit learn Microsoft Azure

Data Science Intern

Allegion

Sep 2024 - Dec 2024 (3 months)

Collaborated with cross-functional teams to analyze warranty claims using PySpark workflows and LLM-based extraction techniques. Proposed mitigation strategies that led to over 80% reduction in recurring claims by automating root cause analysis and categorization.

Python NumPy Pandas Jupyter Notebooks Power BI Pyspark LLMs)Data Visualization

AI Research Intern

Northwestern University

Apr 2024 - Sep 2024 (5 months)

Designed and deployed a dual-mode LLM pipeline to automate key data extraction from global poverty research PDFs, reducing manual effort by over 60%. Engineered scalable AWS-based infrastructure using Lambda, S3, MongoDB, and CI/CD pipelines with GitHub Actions and CodeDeploy.

Docker AWS Lambda AWS S3 MongoDB GitHub Actions Code Deploy LLMs)

Education

Degrees, certifications, and relevant coursework

Northwestern University

Master's of Science, Artificial Intelligence

Grade: 3.984/4 GPA

Pursued a Master's of Science in Artificial Intelligence, achieving a GPA of 3.984/4. Focused on advanced topics in AI, including machine learning, deep learning, and natural language processing.

Thapar Institute of Engineering and Technology

Bachelor's of Engineering, Computer Science

Grade: 8.94/10 CGPA

Completed a Bachelor's of Engineering in Computer Science, earning a CGPA of 8.94/10. Gained foundational knowledge in computer science principles and programming.