Highly motivated Computer Science student with hands-on experience in backend development and a strong foundation in data structures and algorithms, seeking to leverage expertise in Python, Django, and scalable API design to contribute to innovative software solutions. Proven ability to optimize system performance, streamline deployment workflows, and develop high-impact features, demonstrated through a significant internship and robust project portfolio. Eager to apply analytical problem-solving skills and a passion for continuous learning to drive technical excellence in a dynamic engineering environment.
Software Development Engineer Intern - Backend team
Crib (Purple Stack Pvt Ltd)
May 2023 - Nov 2023
Bangalore, Karnataka, IN
Led backend development for core property management modules, optimizing API integrations and enhancing system performance for a startup environment.
Computer Science and Engineering
Indira Gandhi Delhi Technical University For Women
CGPA: 7.38
Dec 2021 - May 2025
New Delhi, Delhi, IN
Courses
Data Structures and Algorithms Specialization
Stanford University (Coursera)
Jan 2023
Competitive Programming & System Design Practice
Dec 2021 - May 2024
Engaged in consistent practice of algorithms, data structures, and system design through competitive programming platforms.
E-commerce Web Application
Jan 2023 - May 2023
Built a scalable e-commerce platform with product listing, cart, checkout, and user authentication using Django and React, following a component-based architecture and RESTful API design.
Smart City Waste Management: Waste Forecasting
Jan 2023 - May 2023
Applied LSTM-based modeling for waste forecasting, leveraging 5+ years of geospatial and environmental data to reduce forecasting error.
Harvard WeCode'23 Scholar
Harvard University
Feb 2023
Selected as a scholar to attend the largest student-run women-in-tech conference at Harvard University in February 2023.
Marketing Team Lead Award
University/Organization
Jan 2023
Awarded for exemplary performance in organizing campus events and demonstrating strong team leadership skills.
Waste Forecasting for Smart Cities using LSTM
ETTIS-2025 (Global Conference)
Jan 2025
Presented a research paper detailing LSTM-based modeling for waste forecasting at ETTIS-2025, a global conference partnered with international institutions.
Programming Languages
Frameworks & Libraries
DevOps & Tools
Databases
Machine Learning
Core Computer Science
Methodologies & Practices