Real Estate Software Engineer

Lakshmi Sarvani Kandala

*** * ********* ***** ********* CA 94087

+1-463-***-**** *******.*******@****.*** www.linkedin.com/in/lakshmi-s-kandala OBJECTIVE

Aspiring Software Engineer Intern with a Computer Engineering background and practical experience in digital archiving at the California History Center. Skilled in C++ and Python, with a proven ability to convert and organize legacy media using systematic methods. Eager to apply programming, debugging, and optimization skills to develop scalable systems and support lead ads growth. EDUCATION

San Jose State University May 2026

Bachelor of Science, Computer Engineering

• GPA: 3.276

• Coursework: Mechanics, Electricity and Magnetism, Programming Methodologies in C++ (Intermediate and Advanced), Data Abstraction and Structures, Circuit Analysis, Python Programming (Intermediate and Advanced), Object Oriented Concepts and Methodologies, Engineering Probability and Statistics, x86 Processor Assembly Language, Computer Architecture, Engineering Reports

WORK EXPERIENCE

California History Center Jun 2023 - Dec 2023

Digital Oral History Recordings Cupertino, CA

• Converted and optimized archival recordings (VHS and cassette tapes) spanning up to 50 years into digital format, thereby enhancing accessibility for a broader audience.

• Systematized archival documentation by organizing and cataloging files, books, and tapes using the Dewey Decimal system. RESEARCH EXPERIENCE

Multimodal Real Estate Price Estimation Jun 2023 - Aug 2023 Blast AI Bootcamp Remote

• Developed a machine learning model in Python using Convolutional Neural Networks (CNNs) and data analysis to predict Southern California real estate values.

• Integrated visual imagery and structured data (e.g., property size, zip code) with external features like terrain data, fire service proximity, and environmental factors.

• Applied dimensionality reduction and feature selection to optimize prediction accuracy.

• Utilized datasets from Kaggle and GitHub, applying a multimodal approach for robust valuation insights HIGHLIGHTS OF QUALIFICATIONS

• Engineering And Technical Skills: C++, Python, x86 Assembly, Convolutional Neural Networks (CNNs), Real Estate Price Pre- diction, Computer Vision, Git, MATLAB, Visual Studio Code, Google Colab, Jupyter, Circuit Analysis, Engineering Mechanics, Object-Oriented Programming

• Communication And Leadership: Conducted advanced research using data-driven and image-based approaches to improve real estate value prediction, Analyzed and modeled large datasets to produce meaningful insights for practical applications

• Teamwork: Collaborated with diverse teams in both technical and historical settings, Contributing to project success through clear communication and proactive problem-solving

CERTIFICATIONS

• Splunk: Security Information and Event Management (SIEM) Tool: Completed Splunk Bootcamp covering fundamentals of data analysis, visualization, SIEM setup, threat detection, dashboard creation, alerts, and incident investigation through hands-on projects. Soft Skills

• Strong in research, technical writing, data analysis

• Collaborative team player in both tech and historical settings

• Effective communicator with ability to distill complex information

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