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
Bangalore, Karnataka, India
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Summary
Led backend development for core property management modules, optimizing API integrations and enhancing system performance for a startup environment.
Highlights
Developed and deployed scalable RESTful APIs using Django REST Framework for 5+ core property management modules, ensuring design adherence and robust functionality.
Optimized backend performance, reducing query response time by 40% through advanced database queries and DRF generic views, significantly enhancing existing software applications.
Automated deployment workflows using CI/CD pipelines (GitHub Actions/Jenkins), cutting release turnaround time by 40% and improving deployment success rate for critical software releases.
Designed and optimized 10+ high-performance REST APIs, enabling the system to handle a 2x increase in concurrent user requests without downtime.
Executed comprehensive automated testing with Postman across 15+ endpoints, ensuring API reliability and consistency while demonstrating strong debugging proficiencies.
Contributed to core feature development, including user onboarding and payment, optimizing end-to-end API integrations within an agile framework.
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Bachelor of Technology
Computer Science and Engineering
Grade: CGPA: 7.38
Courses
Data Structures
Algorithms
OOPS
Operating Systems
Database Management
Debugging
Unit Testing
Agile Methodology
Awarded By
Harvard University
Selected as a scholar to attend the largest student-run women-in-tech conference at Harvard University in February 2023.
Awarded By
University/Organization
Awarded for exemplary performance in organizing campus events and demonstrating strong team leadership skills.
Published by
ETTIS-2025 (Global Conference)
Summary
Presented a research paper detailing LSTM-based modeling for waste forecasting at ETTIS-2025, a global conference partnered with international institutions.
Issued By
Stanford University (Coursera)
C++, Python, HTML, SQL.
Django, REST APIs, React.js, JWT, Flutterwave API, Render, Context API, React Router, Toastify, CSS, Pandas, NumPy, Matplotlib, TensorFlow.
Git, GitHub Actions, Jenkins, Postman, CI/CD Pipelines.
SQL, Database Management.
LSTM, Time Series Forecasting, TensorFlow (Basics).
Data Structures, Algorithms, OOPS, Operating Systems, System Design.
Agile Methodology, Unit Testing, Debugging, Problem Solving.
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Summary
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.
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Summary
Applied LSTM-based modeling for waste forecasting, leveraging 5+ years of geospatial and environmental data to reduce forecasting error.