Mahitha Pillodi

University of Wisconsin-Madison

Masters in Computer Sciences; GPA: 3.92/4.00

Relevant coursework:

• Distributed Systems
• Computer Vision
• Modeling User Interactions
• Machine Learning
• Intro to Artificial Intelligence
• Human-Computer Interaction

VNR Vignana Jyothi Institute of Engineering & Technology, JNTU-Hyderabad

Bachelor of Technology in Computer Science & Engineering; GPA: 9.45/10.00

Relevant coursework:

• DataStructures & Algorithms
• Design & Analysis of Algorithms
• Operating Systems
• Database Management Systems
• Linux Internals
• Compiler Design
• Object-Oriented Programming
• Software Engineering

National Renewable Energy Laboratory (NREL)

Graduate Summer Intern

• Developed comprehensive renewable energy dataset via in-depth literature reviews & data analysis for advanced research.
• Contributed significantly to enhancing Engage tool using Python, Django, Dash, React & PostgreSQL, elevating UI/visualizations.
• Engaged in G-PST consortium events, collaborating with USAID, NREL, and EPRI researchers to drive tech-driven clean energy solutions.

University of Wisconsin - Madison | Information School

Teaching Assistant

• Worked with Prof. Jeff Nyhoff for CS202 Introduction to Computation during Summer 2023.

University of Wisconsin - Madison | Zamanian Lab

Project Assistant

• Collaborated with Prof. Mostafa Zamanian on the development of the wrmXpress software suite, specifically designed for analyzing malaria worm imaging data generated on an ImageXpress high-content imager, for the client “Pfizer”.
• Configured imaging data and metadata using YAML files. Deployed wrmXpress on high-throughput servers, leveraging SFTP clients and Globus for secure data transfer.
• Expanded the wrmXpress functionality by developing custom Python modules using OpenCV, Scikit-image, and Numpy for image processing.
• Conducted rigorous testing and validation to ensure accurate and reliable results for malaria worm imaging data analysis.

University of Wisconsin - Madison | Department of Computer Sciences

Teaching Assistant

• Collaborated with Prof. Meena SyamKumar for CS320 Advanced Data Science Programming using Python during Spring 2023 and managed 300+ students. Graded lab activities, assignments, and projects.
• Hosted a weekly lab section, conducted office hours, and provided support to students on the learning platform.

University of Wisconsin - Madison | Department of Computer Sciences

Project Assistant

• Graded assignments and projects for CS220 Data Science Programming using Python with Prof. Meena SyamKumar for Fall 2022.

JP Morgan Chase & Co

Software Engineer II

• Designed and implemented RESTful APIs using Java Spring, Swagger, and Angular for critical applications deployed across multiple business units at JPMC.
• Automated API testing using the Postman tool by implementing a test suite reduced the developer’s time by 20%. Optimized the API calls, bringing down response time from 2 minutes to 7 seconds by eliminating unnecessary calls.
• Managed production releases, resolved defects, and achieved 80% code coverage improvement for timely delivery of new features and enhancements.
• Provided technical support to customers, addressed critical production issues through root-cause analysis. Devel- oped and executed strategic remediation plans within tight timeframes to minimize client impact.
• Followed Agile Scrum methodologies, actively participated in sprint planning, daily stand-ups, and retrospectives, adhering to SDLC and TDD principles for high-quality software delivery.
• Volunteered for the ‘Force For Good Project’ under the ‘TechForSocialGood’ Program at JPMC, leading the design and development of a website for the NGO, ‘Aavishkaar Yaatra’. Employed innovative technology solutions to address critical challenges and significantly amplify the organization’s outreach.

JP Morgan Chase & Co

Software Engineer Intern

• Modernized an internal customer web application using HTML5, CSS, Bootstrap, Angular, TypeScript, and Flask.
• Automated the remediation of multiple break-fix processes within the team using Python and Flask Microservices, streamlining workflows and significantly reducing manual effort. Achieved a significant increase in efficiency, saving an average of 8 hours per week.
• Planned and executed the cloud migration and maintenance of web applications on the Gaia Kubernetes Platform.

ZF Technologies

Android Developer Intern

• Built an Android application using Java, XML, Android SDK, and Android Studio for training recruits on AUTOSAR Technology.

Exploring Data Augmentation Techniques and Improving Object Detection Performance

• Used Stable Diffusion (SD) and Generative Adversarial Networks (GAN) to generate synthetic images that closely resemble those in the COCO dataset. Evaluated the effectiveness of the synthetic images by combining them with the original images and utilizing them as input for the YOLOv5 object detection model. Conducted rigorous evaluation and analysis to measure the performance and accuracy of the object detection model using the combined dataset.

Multimodal Emotion Recognition (MER) Systems

• Implemented a Multimodal Emotion Recognition Model using Python libraries, including Numpy, Tensorflow, Keras, Pandas, and matplotlib. Utilized Deep Neural Networks, specifically Time-Distributed Convolutional Neural Networks and Convolutional Neural Networks (CNN), to process audio and video inputs from the RAVDESS and FER 2013 datasets for accurate human emotion recognition.

Blockchain System

• Implemented a simple Blockchain in Python, utilizing Nakamoto consensus and proof-of-work protocols to ensure security and decentralization. Deployed the Blockchain on a small cluster of cloud nodes, utilizing gRPC calls for efficient communication between nodes. Conducted simulations of client use cases to evaluate the performance of the Blockchain system. Measured transaction commit times and system recovery times under different success scenarios, demonstrating expertise in performance analysis and optimization.

Replicated Distributed Database

• Developed a fault-tolerant key-value store using the Raft consensus protocol for strong consistency. Supported PUT/GET operations with gRPC communication and implemented Raft APIs such as RequestVote and AppendEntries for fault tolerance. Conducted thorough testing and validation to ensure the reliability and performance of the key-value store.

Distributed File System

• Designed a simple distributed file system utilizing an AFS-like protocol, enabling concurrent file access and modification by multiple clients while ensuring consistent versions and implementing the "last writer wins” semantics. Implemented the distributed file system using gRPC for efficient client-server communication, ensuring seamless interaction between components. Integrated the file system with FUSE for Linux client-side integration, allowing users to interact with the distributed file system as if it were a native file system on their machines.

Aavishkaar Yaatra - Force For Good - JP Morgan Chase & Co

• Worked closely with Aavishkaar Yaatraa, an NGO based out of Palampur in Himachal Pradesh which is working to change the face of STEM education in India, and helped them develop a solution to significantly increase their outreach. Developed a website to solve the technology challenges for the NGO.

Speech Emotion Recognition (SER) Systems

• Developed an Emotion Recognition Model using Python Libraries such as Keras, Tensorflow, Numpy, and Deep Neural Networks such as Recurrent Neural Networks on RAVDESS and Emo-DB (Berlin) dataset to recognize human emotions with audio as input.

Programming Languages

Databases

Frameworks & Libraries

Tools/Technologies

Methodologies