Curriculum Vitae

Timeline

Education

• Master of Science, Computer Science, Arizona State University, 2023-2025
  • Courses:
    • Knowledge Representation and Reasoning
    • Data Visualization
    • Distributed Database Systems
    • Information Assurance and Security
    • Multimedia and Web Databases
    • Software Requirements and Specifications
• Bachelors in Technology, Computer Science Engineering, National Institute of Technology Karnataka, Surathkal, 2017-2021
  • Activities and societies: Executive Member at IEEE NITK (Taught Freshmen Linux Terminal Commands and Linux Installation Guide) and Media and Publicity Head at Web Enthusiasts’ Club NITK (Conducted Several Tech and Programming Events).

Work experience

Digital.ai Bangalore, India, Software Development Engineer, Jul 2022 - Jul 2023

• Technologies: Apache Kafka, Spark, Airflow, Kubernetes, Docker, Snowflake, Redshift, Lambda, EKS, Amazon Web Services, Spring Boot, Java, Python
• Jenkins to Kubernetes: Engineered and deployed Kubernetes Workloads for ’Clean Tenant’ and ’Replicate Data’ operations across multiple servers, achieving an increase in deployment efficiency, enhancement in resource utilization, and reduction in response time during peak demand. Additionally, this optimization directly contributed to a decrease in cloud infrastructure costs, saving the company approximately 12,000 dollars annually.
• Data Pipeline Engineering and Source Integration: Successfully engineered and deployed comprehensive data pipelines, integrating dynamic sources such as GitHub, Snowflake, and New Relic, to significantly amplify business functionalities. Utilized the Adapter Framework (an internal data pipeline tool) to enhance data extraction and loading processes (ETL), achieving an improvement in processing efficiency across diverse origins. This strategic initiative played a key role in increasing the customer onboarding rate by significant percentage, leading to the addition of new key clients within a single quarter.
• Streamlined AWS Lambda Build and Deployment Automation: Orchestrated the automated build and deployment of AWS Lambda functions Conducted a meticulous evaluation of strategies for developing and deploying Lambda functions, pivotal in enabling email alerts and event logging from Apache Airflow . Devised a robust protocol, employing Docker and AWS S3, to facilitate the build and deployment of these Lambda functions. Subsequently, established an automated mechanism utilizing Jenkins for the seamless deployment of AWS Lambda functions.
• Application Control Plane Enhancement and Database Automation: Wrote a database automation script as a part of the ACP. Streamlined and automated diverse database functions within the customer Single Sign-On ecosystem. Completely revamped the front end of the Application Control Plane by rebranding it from scratch and optimizing it by adding several forms and other features tailored to distinct customer categories and accounts, expanding their access to a variety of applications.

FlexiEle Consulting Services Gurgaon, India, Software Developer Engineer, May 2021 - June 2022

• Technologies: MySQL, Angular, NodeJS, APIs, RsJS, JavaScript**
• Human Resources Management System: Enhanced the onboarding front end by adding several functionalities to the screen, Implementation of RxJS, REGEX addon on Angular, RESTful API’s Implementation from Front to Back, Nodejs development for Services and API’s, Implementation of UI components using ngx-bootstrap, Implementation of UI/UX components using prime-ng.

Standard Chartered GBS Chennai, India, Summer 2020: Summer Research Intern, May 2020 - July 2020

• Technologies: NLTK library, Python, PyTorch, Pandas, Matplotlib, Numpy.
• Worked on a Natural Language Processing Project to Organize Banking data provided: Worked with multiple teams to gather real time banking data and helped organize them to analyze business transactions needed for the analysis. Used plotting software to visualize data in a convenient manner.

Summer 2019: Summer Research Intern, May 2019 - August 2019

• OSPF Drug Discovery Lab, NIAS, Indian Institute of Science Bangalore, India
• Mentor: Dr Jaleel UC (Principal Scientist), OSPF Drug Discovery Lab, NIAS, IISc. Deep Learning Project at OSPF Lab in collaboration with TDU, Bangalore.
• Unsupervised Deep Learning Analysis with Kohonen Self-Organizing Maps: Exploration of Kohonen Self-Organizing Maps for Medical Data Insights Engaged in the application of Unsupervised Deep Learning methods to decipher intricate relationships among diagnostic parameters within a medical dataset. Specialized in Kohonen self-organizing maps, a neural network architecture renowned for competitive learning, enabling the unsupervised clustering of data. Acquired proficiency in Vector Quantization and other competitive learning techniques, pertinent to the realm of unsupervised learning. Employed R as the principal tool to actualize self-organizing Kohonen maps, subsequently visualizing multifaceted components of the derived map.
• Academic Conference Volunteering: Was part of the organising committee of the United Kingdom-India Meet on Emerging Innovations in AMR (Anti-Microbial Research) held on 7th June 2019 at National Institue of Advanced Studies, IISc.

Fall 2018: Research Associate, August 2018 - July 2019

• Computer Science Department, National Institute of Technology, Karnataka Surathkal, India
• Cloud Computing, Concurrent Programming Parallel programming Lab.: Advised by Christina Joseph and John M, PhD Scholars CSE Dept. NITK.
• Concurrency Analysis between Golang and Java: Successfully presented paper at 2020 5th International Conference on Computing, Communication and Security (ICCCS): Click Here . Within this study, we undertake an in-depth evaluation of the concurrency attributes inherent in Go and Java programming languages. This comprehensive analysis encompasses compile time, run time, binary sizes, as well as the distinctive concurrency capabilities of each language. Our investigation involves the empirical exploration of matrix multiplication and PageRank algorithms, serving as experimental grounds for rigorous comparison. By building upon the foundation laid by N Togashi and V Klyuev in their 2014 paper, we propose an enriched methodology, introducing advanced algorithms such as PageRank to augment the scope and depth of testing and analysis.

Skills

• Programming Languages: C, C++, Java, Python, Go, JavaScript, R
• Frameworks/Tools:
  • Programming Frameworks: Spring Boot
  • DevOps: Docker, Kubernetes, Linux
  • Data Engineering: Apache Kafka, Spark, Airflow
  • Machine Learning: PyTorch, Tensorflow, Numpy, Pandas, Matplotlib
  • Web Developement: Express, Node.js, Angular, React.js
  • Cloud: AWS

Publications

Paper Title Number 1

Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1).

Paper Title Number 2

Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2).

Paper Title Number 3

Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3).

Talks

Talk 1 on Relevant Topic in Your Field

March 01, 2012

Talk at UC San Francisco, Department of Testing, San Francisco, California

Tutorial 1 on Relevant Topic in Your Field

March 01, 2013

Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA

Talk 2 on Relevant Topic in Your Field

February 01, 2014

Talk at London School of Testing, London, UK

Conference Proceeding talk 3 on Relevant Topic in Your Field

March 01, 2014

Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA

Teaching

Teaching experience 1

Teaching experience 2

Service

Academic and Personal Projects

• Home Made Food Delivery App: Developed a full functioning Android App that can be used as a food order-delivery system, as a part of project assigned by the Software Engineering Lab Course.
• Graph Algorithms to Maze Graphs: Applying Graph Algorithms to solve Maze problems. The website that hosts this is being built on Ruby on Rails. We will be using OpenGL for the graphics.
• SRRIP Cache Eviction Algorithm: Implemented Static Rereference Interval Prediction algorithm as a part of Cache Simulator Project as a part the Computer Architecture/ Systems Programming course.