About
Computers at low level is binary; This fascination of how the world changed due to this evolution from binary is the reason why my life went into exploring the science behind computers.
Software Engineer & Architect
Professionally I believe learning is a cardinal aspect of life and exploring novel things happening in the tech space always intrigues me. I want to put forward my experiences not just for the path & knowledge I covered but also for ability in me to learn these tools & newer tech in future.
- Birthday: 2 July 1999
- Phone: +1 213-272-5480
- City: Los Angeles, CA, USA
- Age: 24
- Degree: Master of Science
- Email: jjayanth2020@gmail.com
I would like to portray myself as a technology enthusiast who is always willing to learn, grow, evolve and keep myself updated with recent happenings in the tech world. I am highly intrigued towards the potentiality of what raw data can transform into and I am willing to be one of the solution architects to work around, strategize and efficiently transform this data driven environment into useful information. I have professional experience working on Platforms Engineering space in creating, analysis, enriching and reliable persistence of data.
Certification
AWS Certified Developer Associate
Earners of this certification have a comprehensive understanding of application life-cycle management. They demonstrated proficiency in writing applications with AWS service APIs, AWS CLI, and SDKs; using containers; and deploying with a CI/CD pipeline. Badge owners are able to develop, deploy, and debug cloud-based applications that follow AWS best practices.
Check and verify the digital badge: https://www.credly.com/badges/b8daeb89-48ea-44c2-8b28-aedb31d9bdde/public_url
AWS Certified Solutions Architect Associate
Earners of this certification have a comprehensive understanding of application life-cycle management. They demonstrated proficiency in writing applications with AWS service APIs, AWS CLI, and SDKs; using containers; and deploying with a CI/CD pipeline. Badge owners are able to develop, deploy, and debug cloud-based applications that follow AWS best practices.
Check and verify the digital badge: https://www.credly.com/badges/b4578323-22c3-4b9a-8092-3645aa4aaea2/public_url
Skills
- Core Programming: Java, Python, C/C++
- Application Framework: Spring Boot
- CI/CD Tools: : AWS, Azure DevOps (pipelines, Release, task), GitHub(Rest API), Azure Git
- Cloud Automation Tools: Terraform, Ansible
- Containerization: Docker, ECS (Fargate, Clusters), Kubernetes
- Database: AWS RDS/Aurora (MySQL, PostGres (PostGIS)), Snowflake (stage, pipe, stream)
- Testing: Junit - Mockito (Unit testing), Cucumber (Functional testing)
- Machine Learning libraries: TensorFlow [Keras], scikit-learn
- Web Technologies: React, HTML, CSS, JS
• Have extensive knowledge and experience on Data handling, enrichment and persistence over serverless cloud architecture • Worked and maintained Scrum/Agile based software methodologies
Resume
Summary
Jayanth Jayakumar
Software Engineer with 2+ years of professional work experience. I put forward all my associated experience and skills with due qualities of dedication and diligence.
- 1136 W 37th Pl Apt 1, Los Angeles, CA 90007
- (213) 272-5480
- jjayanth2020@gmail.com
- jjayakum@usc.edu
Education
Master of Science in Computer Science
2023 - Present
University of Southern California, Los Angeles, CA
GPA: 3.71/4.0
Course Work: Analysis of Algorithms, Database Systems, Multimedia System Design, Machine Learning for Data Science, Deep Learning and its applications, Information Retrieval and Web Search Engines
Bachelor of Technology in Information Technology
2017 - 2021
PSG College of Technology, Anna University, India
GPA: 9.19/10.0
Course Work: Advanced Data Structures, Design and analysis of Algorithms, Data Mining, Cloud Computing, Big Data Analytics, Operating systems, Communication Networks, Database Management Systems
Current Involvement
Student Intern – App Strategy & Innovation (On Campus)
2023 June - Present
Keck Medicine of USC I.S. Internship, University of Southern California, Los Angeles, CA
Infrastructure Management – Engaged in exploration and advancement of an Infrastructure as a Service platform for autonomous hosting of diverse cloud computing services, regardless of underlying cloud service provider (Cloud Automation). Technologies: Terraform, AWS [Solution Architect, Development], Azure, Linux
Professional Experience
Software Engineer
2021 July- 2022 December
Caterpillar Inc., Chennai, India
- Owned and worked on multiple projects based on migration from server oriented architecture to server less architecture (compute services on AWS and deployment components on Azure DevOps)
- Experienced in using AWS SDK and Cloud Formation in creating serverless compute resources such as Lambda, ECS Fargate where data flow is decoupled through SQS, Kinesis and SNS etc.
- Maintained persistence and delivery of data through services such as API Gateway, AWS RDS (PostgreSQL, MySQL and Aurora DB), Snowflake (Stage, pipe, streams)
- Structured all build and release (DevOps stages) of applications by setting up Azure DevOps pipelines, releases and environment
- Effectively communicated and coordinated with multiple teams to endure end to end delivery of platform services which contributes to data enrichment, transformation and persistence.
Intern
2020 December - 2021 June
Caterpillar Inc., Chennai, India
- Worked on multiple projects based on migration from server oriented architecture to server less architecture (compute services on AWS and deployment components on Azure DevOps)
- Experienced in using AWS serverless workflow and DevOps workflow using Azure DevOps.
Intern
2020 May - 2020 August
Schneider Electric Inc., Bangalore, India
- Completed a project based on Cloud Migration where data is extracted from Atlassian (JIRA cloud) through REST API and stored data in internal server for improved analysis
- Managed JIRA Migration from cloud to JIRA server providing higher control, enhanced granularity and improved security compliance of organization
Project & Presentation
Project Intern
2020 January - 2020 May
Samsung PRISM, Samsung Research Institute
Title: ML/AI based system to classify audio file based on SNR (Signal to Noise Ratio) and Rate of Speech
- This is a machine learning project which uses deep neural networks for automatically categorize files based on their SNR (Signal to Noise Ratio) and the rate of speech (of a particular speaker). The model has an accuracy of 93.4% and is versatile for detections in various audio environments.
- The project was voted Best work-let presentation at Samsung PRISMGlanz 2020; an annual review of all PRISM research projects put forward by various university scholars.
Generative AI application
October 2024
RAG (Retrieval-augmented generation) for transcript prompting
Description: Developed a generative AI application that leverages large language models (LLM) and vector embedding of video transcripts to efficiently generate prompt-specific answers based on transcript content.
Technologies: Langchain, OpenAI models, Ollama models, Pinecone DB, Postgres SQL (PGVector DB), Python
Front end application
July 2024
Exploring React and React-Native component
Description: The project utilizes core React and custom React Native components to efficiently portray key concepts such as state management, dependency injection, Context API, routing, user interaction, and data flow
Technologies: React, React-Native, Java Script, Node (npm)
Machine Learning - BCI application
May 2024
Benchmarking classification of EEG (Electroencephalogram) motor movements
Description: The project focuses of analyzing, recreating various models and techniques including MLP, CNN, Conv LSTM, EEGNet, Deep ConvNet, Shallow ConvNet, EEG Conformer, EEG IT-Net, ATCNet involving various data augmentation and feature extraction techniques [CSP – Common Spatial Patterns] to classify motor movements [body movements] based on brain signals [EEG]. These results were used to benchmark approaches based on various ML model estimation parameters and robustness to noise
Technologies: Python, Keras, scikit-learn
Multimedia Information Retrieval application
December 2023
Video based search and indexing
Description: In contrast to Machine Learning approaches, project aims to accurately search for given query video from a corpus of large video datasets by analyzing multimedia information and its associated video embedding. Efficient storage, indexing mechanism and matching algorithm were used to retrieve relevant video content in few milliseconds based on an arbitrary query video.
Technologies: Python, FFmpeg, PostgreSQL
Affliation
PSG College of Technology, Anna University
Bachelor of Technology in Information Tecchnology (BTech IT)
Keck Medicine of USC I.S. Internship, University of Southern California
Student Intern - App Strategy & Innovation (On Campus)
Contact
Location:
1136 W 37th Pl Apt 1, Los Angeles, CA 90007
Email:
jjayanth2020@gmail.com
Call:
+1 213-272-5480