RENISA PATI

Philadelphia, PA

+1-215-***-**** adu2xu@r.postjobfree.com linkedin.com/in/renisapati97 github.com/RenisaPati EDUCATION

University of Pennsylvania, Philadelphia, PA August, 2022 - present Master of Science and Engineering in Computer and Information Science Expected Graduation: May 2024 Relevant coursework: Database and Information Systems, Networked Systems, Artificial Intelligence, Computational Linguistics, Wireless Communications and IoT, Ethical Algorithm Design CGPA: 3.9 on a scale of 4

Vellore Institute of Technology(VIT), Vellore, India July, 2015 - May, 2019 Bachelor of Technology in Computer Science & Engineering Relevant Coursework: Data structures and algorithms, Software Engineering, Object Oriented Programming, Machine Learning CGPA: 8.91 on a scale of 10

TECHNICAL SKILLS

Languages: Java, C++, Python, C, JavaScript, Angular JS Frameworks and Tools: Spring MVC, Springboot, Agile, Gradle, Maven, Jenkins, Kubernetes, DataGrip, Arduino Uno Query Languages and Databases: MySQL, GraphQL, MongoDB, H2, AWS RDS, MariaDB WORK EXPERIENCE

University of Pennsylvania Teaching Assistant Aug, 2022 - present

• CIT 5910 - Introduction to Software Development (Java)

• CIT 5900 - Programing Languages and Techniques (Python and Java) Barclays, India Software Developer July, 2019 - June, 2022

• Created RESTful APIs on Java Springboot framework that assist unsecured borrowing processes for Barclays UK customers.

• Built APIs using Gradle automation and deployed on continuous integration pipelines via Jenkins server, managed API containers on Openshift platform, and monitored performance and traffic on AppDynamics.

• Onboarded APIs on service mesh architecture for enhanced reliability and ensured steady performance through regular scans with Veracode and SonarQube plugins.

• Created an IPO(Initial Public Offering) application ecosystem by building multiple APIs, discoverable on Eureka service discovery, Active MQ for message queuing, MySQL and MongoDB databases with a AngularJS UI to simplify the process for clients.

• Worked with Spring JPA Hibernate and Spring Data JDBC to integrate and access needful databases.

• Reduced response time by 60% in a loan journey through several optimization and load balancing techniques.

• Awarded recognition for ‘drive’ by API engineering leads for contribution towards improvement of API maturity score by 70% Welco Systems Pvt. Ltd, Mumbai, India Intern Jan, 2019 - May, 2019

• Built an automated and secure vehicle parking system that displayed the count and proximity of available parking spaces. Used infrared sensors that communicated with a central Arduino unit.

• As a security feature, extracted and stored identification data from license plate of each vehicle through data visualization techniques using OpenCV libraries.

PROJECTS

Plot based Movie Recommendation using Sentence-BERT Dec, 2022

• Worked on Transformer based encoders to find a movie using the plot provided by user as input.

• Used Sentence-BERT which implements a Siamese network using Triplet loss function on top of Bert to ensure geometric properties in the latent space.

• Incorporated Corpus has 250K movies and 20+ languages for cosine similarity based retrieval. Machine Comprehension on SQuAD2.0 and QuAC Dec, 2022

• Implemented Question-Answering task on SQuAD and QuAC dataset, evaluated performance of BERT models with and without document retrieval and ranking, pre-training and fine-tuning of the models.

• Mimicked open domain QA as an extension on these datasets and performed error analysis on areas of inferior performance. AI bot that plays Connect-4 May, 2019

• Built an intelligent agent capable of playing Connect-4 using minimax algorithm.

• Implemented reinforcement learning through PPO (Proximal Policy Optimization) to maximize winning rate, using tensorflow libraries. Music Generation using Restricted Boltzmann machine(RBM) Dec, 2018

• Utilised the pattern detection and generative capabilities of the RBM network to generate music.

• Fed 100 MIDI files of ‘pop’ genre as audio input and executed Gibbs Sampling to extract output vector after training completion. Prediction of Parkinson’s disease May, 2017

• Developed a ML based classifier that achieved a 0.9 AUC in predicting the possibility of a person acquiring Parkinson’s disease through Support Vector Machine after hyper-parameter tuning. PUBLICATION

Conducted a survey based research on usage of multi-platform services, cloud solutions and analysed feasibility of existing green technologies. Published paper in the journal, IJRASET under the title “Analysis of trade-offs between performance and energy consumption due to execution of software on multiple platforms and hardware” View publication May, 2017

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