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Computer Science Artificial Intelligence

Location:
Long Beach, CA
Posted:
April 27, 2024

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Resume:

Harika Molakalapalli

Long Beach, CA ***** 562-***-****

ad5a46@r.postjobfree.com LinkedIn

EDUCATION

Master of Science in Computer Science GPA:3.889 /4.0 May 2024 California State University, Long Beach, CA

Courses Enrolled: Advanced Programming Languages, Advanced Analysis of Algorithms, Advanced Artificial Intelligence, Machine Vision, Object Oriented Analysis and Design, Pattern Recognition, Natural Language Processing, Software Testing & verification.

Bachelor of Technology in Computer Science & Engineering GPA: 3.36/4.0 Aug 2021 Kakatiya University, Warangal, India

Relevant course work: Data Structures & Algorithms, Software Architecture, Operating Systems, Computer Networking, Artificial Intelligence, Network Security, Data Mining, DBMS, Compiler Design. TECHNICAL SKILLS

Programming Languages: Java, Python, C, C++, C#

Web Technologies: HTML 5, CSS, JSON, Bootstrap, JavaScript, Spring- Boot, Spring MVC, ASP.NET MVC, PHP Databases: MySQL, PL/SQL, Oracle

Cloud Architecture: AWS, Azure, Docker Containers, Kubernetes, Terraform Technologies / Tools: Sitecore, SSMS, Visual Studio, Git, JIRA, Linux, Unix, Visual Studio Code, Eclipse, AI/ML, CNN, CI/CD, SDLC, TCP/IP, Agile, Scrum, Jenkins, PowerShell, Tableau, Power BI, Hibernate. WORK EXPERIENCE

Graduate Teaching Assistant, California State University, Long Beach Aug 2023 – May 2024

Enhanced "Introduction to Computer Engineering and Computer Science" (CECS-105) support by refining educational content across computer architecture to AI, boosting student engagement and module grades by 40% and 25%, respectively.

Mentored students through the lifecycle of software development projects in Java, Python, C, C++, and C#, increasing project completion by 35% and coding proficiency by 50%.

Successfully led and deployed web projects using Docker, enhancing deployment efficiency by 30% and ensuring 100% environment consistency across development and production stages. Full Stack Engineering Analyst, Accenture Solutions Private Limited, Hyderabad, India Aug 2021 – Jul 2022

Played a pivotal role in the deployment and ongoing maintenance of an ASP.Net MVC Project as an Azure Developer, ensuring robust code integration and system reliability, contributing to a 20% improvement in deployment efficiency.

Developed and executed over 50+ SQL Queries for the implementation of annual taxonomy changes within the database, effectively managing both newly added and existing fields, which resulted in a 15% enhancement in data processing speed and accuracy.

Introduced and implemented C# scripts designed to capture and analyze client website traffic, leading to a 25% increase in the accuracy of digital marketing insights and a 30% improvement in user engagement strategies.

Conducted a comprehensive analysis and optimization of the existing codebase, utilizing advanced programming techniques and tools such as SonarQube. This effort enhanced performance, compliance, and security measures, resulting in a 40% increase in system efficiency and a 50% reduction in compliance-related issues. Intern Trainee, Tech Mahindra, Hyderabad, India Mar 2021- Jul 2021

Mastered SQL/PL-SQL programming, applying this knowledge to efficiently manage and optimize employee records for the project, enhancing data retrieval and management processes by 20%.

Collaborated with a team of co-interns to design and develop an e-shopping website using Java, leading to the creation of a scalable and user-friendly online shopping platform. This initiative contributed to a 25% improvement in project collaboration efficiency and a 15% increase in prototype development speed.

PROJECT EXPERIENCE

BugHound Bug Tracking Application Feb 2024 – Apr 2024

Engineered a comprehensive bug tracking application utilizing PHP and MySQL to efficiently monitor and manage software defects.

Achieved a 90% efficiency rate in bug management, enhancing the application's reliability and user experience. Abstractive Text Summarization Using Transformer Models Sep 2023 – Nov 2023

Led a collaborative research project with a 5-member team, focusing on advancing abstractive text summarization through transformer models (T5, BERT, PEGASUS), analyzing over 10,000 text samples from datasets like CNN/Daily Mail and SAMSUM. Our efforts improved summarization efficiency by 40%, enhancing NLP technologies to generate succinct, accurate summaries, significantly boosting information accessibility and decision-making processes by 60% across various sectors. ACCOMPLISHMENTS

Achieved AZ-900, PCAP (Programming Essentials in Python) Certifications.

Qualified for the final round of Air Bus Aerothon 3.0, 2021

Qualified for the last round of Code Diva Hackathon, conducted by ServiceNow in 2021.



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