Hey, I’m Rasshmi.
A Software Engineer with 2+ years of experience specializing in Cloud & Data Platforms, passionate about building scalable, high-performance applications.
Educational Background
Virginia Tech
Master of Engineering in Computer Science
Graduating in May 2025
CGPA: 3.88/4
SRM Institute of Science and Technology
Bachelor of Technology in Computer Science and Engineering
June 2017 – June 2021
CGPA: 9.17/10
Work Experience
Data & AI Engineer - Academy Dental Management- NJ May ‘24 - Dec ‘24
Fraud Detection in Dental Insurance Claims
Designed and delivered a fraud detection system for dental insurance claims. Built end-to-end data pipelines on AWS, and reduced AWS costs by 92%. Utilised Llama - 2, Cohere and Open AI API for the usecases.
Software Engineer - InfoCepts - Pune
March ‘21 - March ‘23
Revenue at Risk analysis
Built an ETL pipeline using AWS, SQL, Scala, Python and Apache Spark to process advertisement sales data and load it into SingleStore, automating workflows with Airflow. Conducted risk analysis to recover $5000 in lost revenue.
Highlighted Projects
Punny Pages
Streamlined Book Management – Enhancing Experience and Efficiency
The project utilized React, HTML, and CSS to design a responsive and engaging front-end interface, while Java powered the back-end services. A MySQL database was employed to catalog books and transaction details.
MedNote Summarizer
Revolutionizing Patient Data Insights
Built a Python-based text summarization model to condense 180,142 patient notes. Leveraged NLP models like PEGASUS-XSum and T5, improving summarization accuracy by 20% and reducing documentation time.
Credit Card Approval Predictor
Enhancing Financial Decision-Making with Machine Learning
Developed a machine learning model to predict credit card approvals with optimized feature engineering, data balancing, and classifier selection,achieving 96% accuracy with KNN.
Reddit Social Media Analytics
Optimizing Social Media Engagement on Reddit
Conducted a comprehensive analysis of 100 Reddit communities to optimize user engagement by examining network dynamics, performing sentiment analysis, developing a hybrid recommendation system, and implementing topic modeling to uncover behavioral patterns and enhance content strategies.
Consumer Complaint Analysis & Forecasting
Driving Financial Oversight with Data - Group Project
Applied machine learning and FinBERT-based sentiment analysis to analyze 3.1M CFPB consumer complaints, uncover trends, assess company responses, and forecast complaint volumes using ARIMA, Prophet, and GPU-based LSTM, achieving 83% accuracy in predicting timely responses and strengthening regulatory oversight.
View Project
Relevant Certifications
Founder of Inner Peace - Virginia Tech’s first mindfulness association
I founded Inner Peace with a simple goal ~ creating a space for mindfulness and well-being.
It all started with small meditation sessions I led in my community, and soon, the impact was undeniable. Seeing how mindfulness transformed lives, I knew this needed to reach more people.
Now, Inner Peace is a thriving student-led initiative at Virginia Tech, where we bring mindfulness to the campus through guided meditation, yoga, breathing exercises, and gratitude sessions.
Last semester, we successfully conducted five major events, helping students and faculty enhance their mental clarity, emotional resilience, and overall well-being.
Get in Touch!
Email :
kulkarnirasshmi@gmail.com
Linkedin :
http://www.linkedin.com/in/rashmikulkarni07/
