**Aishwarya V Sheelvant**
aishwaryasheelvant12@gmail.com | +1 470-929-3152
LinkedIn: Aishwarya V Sheelvant | Website: https://aishwaryavs.github.io/

### EDUCATION
**Georgia Institute of Technology, Atlanta, GA**
Aug 2022 - May 2024
Master of Science in Computer Science | GPA: 3.88/4.0

**M.S Ramaiah Institute of Technology, Bangalore, India**
Aug 2017 - June 2021
Bachelor of Engineering in Information Science & Engineering | GPA: 9.0/10.0

### TECHNICAL SKILLS
**Programming Languages:** Python, Java, SQL, HTML, CSS, C, JavaScript, C++, Angular, Node.js, C#
**Frameworks & Tools:** AWS, Git, TensorFlow, Flask, REST API, Docker, Spark, Azure Kubernetes, GCP, Jenkins, Hadoop, Kafka, Hive
**ML Frameworks/Libraries:** TensorFlow, Keras, PyTorch, MXNet, XGBoost, Pandas, Transformers
**Databases:** MySQL, OracleSQL, PostgreSQL, DynamoDB

### EXPERIENCE
**Software Developer Intern, Message Gears - Atlanta, USA**
Aug 2023 - Present
*Technology Stack: Java, SpringBoot, HTML, Redis, DynamoDB, PostgreSQL, AWS, JUnit, Mockito, Selenium, Groovy*
- Improved user latency by 40% using Redis cache for faster data retrieval
- Reduced data inconsistencies by 10% through rigorous unit and integration testing

**Machine Learning Engineer Intern, Rocket Mortgage - Detroit, USA**
May 2023 - Aug 2023
*Technology Stack: Python, Kubernetes, CircleCI, Seldon Core, AWS CloudFront, Argo Workflows, Rancher*
- Automated CI/CD pipelines, reducing deployment time by 80%
- Integrated TensorFlow data drift detection, cutting false positives by 25%

**Data Scientist, Neewee Analytics - Bangalore, India**
Aug 2021 - June 2022
*Technology Stack: Python, PostgreSQL, FastAPI, Jenkins, Docker, Postman, Pandas, Matplotlib, NumPy*
- Automated data extraction, reducing collection time by 90%
- Saved $225K in manufacturing costs using Genetic Algorithms
- Optimized REST API endpoints, improving data retrieval speed by 30%

**Machine Learning Engineer Intern, Simpragma Solutions - Bangalore, India**
June 2019 - Aug 2019
*Technology Stack: Java, J2SE, Gradle, Audacity*
- Built speech-to-text feature with 75% accuracy using Sphinx4 API
- Improved transcription accuracy by 30% over previous model

### PROJECTS
**Attack and Defense Techniques on LLMs**
Aug 2023 - Current
*Technology Stack: BERT Models, Python, Jupyter Notebook, TextAttack, Transformers*
- Preserved 85% post-attack accuracy with ensemble-based defense system

**Sparse Recommendation System Analysis**
Jan 2023 - May 2023
*Technology Stack: TensorFlow, Python, Jupyter Notebook*
- Achieved 70% accuracy with Deep Learning recommendation models

**Object Detection for Climatic Data**
Jan 2021 - Apr 2021
*Technology Stack: Python, AWS, Keras, Jupyter Notebook*
- Fine-tuned YOLOv3 and Faster R-CNN models with 71% accuracy

**Crime Prediction: Data Science and Analysis**
Mar 2020 - May 2020
*Technology Stack: Python, Jupyter Notebook, Matplotlib, Geopandas, Folium*
- Developed state-wise crime prediction algorithm with 85% accuracy

### ACHIEVEMENTS
- NPTEL Certifications in Advanced Statistics, Database Systems, Algorithm Design
- Microsoft Azure Fundamentals Certified

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