About Me
I'm a recent Data Science graduate from the University of Maryland, College Park, with a strong foundation in AI, computer vision, and multimodal systems. My work bridges the gap between research and practical applications across areas like generative AI, NLP, and biomedical imaging.
At UMD, I worked on several cutting-edge projects—training GPT-2 variants with different attention mechanisms, fine-tuning Mistral 7B for poetic device classification, and building a Retrieval-Augmented Generation (RAG) system using MongoDB and transformer models. These experiences sharpened my skills in large model training, efficient deployment, and interpretability. Previously, I earned my B.Tech in Computer Science with a specialization in IoT from VIT Vellore, where I received merit scholarships and published research on liver tumor segmentation and Hepatitis C prognosis using deep learning.
I've interned at Causify AI , optimizing Google Drive APIs and building scalable ETL pipelines. Earlier, I was a research assistant at VIT University, where I developed deep learning pipelines for medical imaging tasks. I also enjoy building and deploying ML systems end-to-end using tools like Docker, Flask, Azure, and SQL-based backends.
Outside of work, I'm passionate about reading articles on emerging AI technologies and exploring technical blogs on Medium. In my free time, I enjoy doing vector art illustrations, going on hikes, and food hopping to discover new cuisines.
I'm currently looking for full-time roles in AI, data science, or machine learning starting June 2025. If my work aligns with your team's goals, I'd love to connect!
Skills
- Python
- SQL
- R
- Sci-kit Learn
- PyTorch
- TensorFlow
- OpenCV
Programming and ML
- Databricks
- Docker
- Streamlit
- Power BI
- Microsoft Office
- MongoDB Atlas
- Git
Tools and Platforms
- Microsoft Azure
- Apache Spark
- PostgreSQL
- Google Cloud Platform
- AWS
Cloud and Databases
Professional Background
Education
University of Maryland, College Park
Aug 2023 - May 2025 | College Park, MD
M.S in Data Science
- GPA: 3.88/4.0
- Coursework:
- Machine Learning
- Multimodal Foundation Models
- Probability and Statistics
- Deep learning
- Data Representation and Modeling
Vellore Institute of Technology (VIT) Vellore
July 2019 - June 2023 | Vellore, India
B.Tech | Major: Computer Science Engineering | Minor: Internet of Things
- GPA: 8.89/10
- Coursework:
- Data Structures and Algorithms
- Computer Architecture
- Database Management Systems
- Operating Systems
- Advanced Calculus
- Micro-processors and Micro-controllers
- Privacy and Security in Internet of Things
- Applications of Differential Equations and derivatives
- Research: Machine Learning Research Assistant at VIT University. Contributed to two published works—"Liver Tumor Segmentation Using Deep Learning Neural Networks" (book chapter) and "Hepatitis C Severity Prognosis Based on Blood Biomarkers: A Machine Learning Approach" (research paper).
- Awards: Received a merit scholarship for outstanding academic performance (2021-2022) and the Raman Research Award for excellence in undergraduate research.
- Extra-curricular activities: Core Committee Member of IEEE-Professional Communication Society at VIT University. Helped organize technical events, managed a team of 50 members, and promoted wide participation. Also served as a Core Committee Member of the LEO Club (NGO), organizing donation campaigns, visiting orphanages, and leading awareness initiatives.
Research and Work Experience
Causify.AI Inc
Feb 2025 - March 2025 | Remote
Data Engineer Intern
- Extracted and processed structured data via custom web scraping workflows.
- Developed robust unit tests to ensure system reliability and maintainability.
- Refactored legacy codebases to improve performance and readability.
ML Research Assistant Intern | VIT University
Aug 2021 - June 2023 | Vellore, India
Guide: Dr. Sumit Kumar Jindal
- Publication: "Liver Tumor Segmentation Using Deep Learning Neural Networks" - Book Chapter in Current Applications of Deep Learning in Cancer Diagnostics, Taylor & Francis, 2022.
- Developed a hybrid U-Net deep learning model for liver tumor segmentation, achieving 75% accuracy on clinical imaging datasets.
- Performed data augmentation and preprocessing to improve model generalizability and training stability.
- Publication: "Prognosis of Hepatitis C Severity Based on Blood Biomarkers Using Supervised Machine Learning Algorithms" - Journal of Electrical Engineering & Technology, Springer, 2022.
- Designed machine learning models to predict Hepatitis C severity, achieving 98% accuracy using Gradient Boosting.
- Built and optimized preprocessing pipelines with advanced feature engineering and hyperparameter tuning techniques.
Project Portfolio
Blogs
Awards
Merit Scolarship
April 2022
Awarded merit scholarship for outstanding academic performance in the computer science engineering with specialization in IoT cohort during the year 2021-22.
Raman Research Award
June 2023
Awarded the prestigious Raman Research Award Awarded the prestigious Raman Research Award in recognition of my contributions to research and publication during my undergraduate studies at VIT. The award honors impactful scholarly work published in reputed journals and encouraging a culture of academic excellence.
Hobbies
I love spending my free time engaging in a mix of creative and meaningful activities. One of the things I care deeply about is community involvement, and I actively participate in blood donation drives. I find it incredibly rewarding to be able to contribute in such a direct, impactful way — it's a small act with the potential to save lives, and I try to donate regularly whenever drives are organized near me.
Creatively, I enjoy making vector art illustrations, often drawing inspiration from pop culture, music, and people I admire. It's a therapeutic process that lets me unwind and express ideas visually — some of my favorite pieces have come from just experimenting with new color palettes or styles.
I also consider myself a bit of a food enthusiast. I love exploring different cuisines, food hopping around cities, and trying dishes that are unique or offbeat. Occasionally, I try to recreate those meals at home, experimenting with recipes and ingredients along the way.
While I enjoy the outdoors, my interest in hiking is more casual — I take the occasional trail when I get the chance, especially if there's a great view or local spot to discover at the end.
Overall, I'm drawn to activities that combine creativity, exploration, and social contribution — whether that's through art, food, or simply giving back where I can.