Adithya Kiran

Software Engineer

Kirkland, Washington, United States2 yrs 8 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in scalable and reliable software development.
  • Significant experience in AWS and cloud infrastructure.
  • Proven track record in automating complex workflows.
Stackforce AI infers this person is a SaaS and Healthcare-focused Software Engineer with expertise in cloud infrastructure and automation.

Contact

Skills

Core Skills

TypescriptNext.jsPythonAwsJavaReactDockerNlp

Other Skills

Prisma ORMOpenAI APIAI AgentsRetellAITwilioAmazon Web Services (AWS)JenkinsSystem MonitoringCloud InfrastructureGradleNetworkXServerless FrameworkDistributed SystemsJavaScriptC#

About

I enjoy building scalable, efficient, and reliable software. I’m always looking to learn and build things.

Experience

2 yrs 8 mos
Total Experience
1 yr 9 mos
Average Tenure
10 mos
Current Experience

Google

Software Engineer

Aug 2025Present · 10 mos · Greater Seattle Area

Replyquickai

Full Stack Engineer Intern

Jul 2025Aug 2025 · 1 mo

  • Implemented APIs and webhooks in NodeJs and TypeScript.
  • Integrated Retell AI API for handling automated Agentic call handling.
  • Integrated Google Calendar API for scheduling and managing calls.
  • Designed NextJs pages and reusable UI components
TypeScriptNext.jsPrisma ORMOpenAI APIAI AgentsRetellAI+1

Sciencelogic

Software Engineer Intern

Jun 2024Aug 2024 · 2 mos · Reston, Virginia, United States

  • Automated the SRE workflow for the upgrade and migration of a SaaS service in AWS, with Jenkins and Python scripts, reducing the upgrade duration by 75% (1+ hour to under 15 minutes) and eliminating manual efforts.
  • Added monitors to alert for unexpected long-running processes and configuration drifts, enhancing SaaS reliability.
  • Developed a log parsing tool with SNMP-based alerts if the log files have dataflow and synchronization issues or if errors are found in the logs.
PythonAmazon Web Services (AWS)JenkinsSystem MonitoringCloud InfrastructureAWS

Kickdrum

3 roles

Software Engineer (SDE 2)

Promoted

Jul 2022Jul 2023 · 1 yr

  • Project: Healthcare Client Monolith Refactor and Build Modernization
  • Refactored a 2M+ LOC healthcare monolith application (Java, C++, Python, Perl) with 2000+ packages and 300+ cyclic dependencies into a service-oriented architecture.
  • Proactively developed automation scripts and a refactoring tool that streamlined the process and led the team through the refactoring.
  • Modernized the build system from SCons to Jenkins, redesigning the build process for parallel stages, and reducing build times by over 58% (2+ hours to under 50 minutes).
  • Built a verification tool to ensure the accuracy of refactored builds by recursively comparing RPM contents and hashsums, enabling consistent and reliable deployments.
  • Assisted in teaching interns about backend development and cloud deployment.
JavaPythonReactGradleNetworkXDocker+12

Software Developer (SDE 1)

Aug 2021Jun 2022 · 10 mos

  • Project: Document Library Search Engine with Dynamic Filters
  • Designed a scalable, highly available information retrieval system to index and search unstructured documents.
  • Built a responsive frontend and low-latency RESTful APIs for indexing and searching documents in ElasticSearch. Incorporated Redis for caching search results.
  • Implemented text classification to generate dynamic filtering categories as new documents are indexed.
PythonSpring BootReactKibanaREST APIsAmazon Web Services (AWS)+12

Software Developer Intern

Jan 2021Jul 2021 · 6 mos

  • - Developed a web application in SpringBoot and React that analyzes an AWS Account’s resource usage, and identifies security and data reliability config issues by assuming an IAM role with minimal read-only permissions.
Node.jsDockerAmazon Web Services (AWS)Spring FrameworkReact.jsJava+2

Center for cloud computing and big data, pes university

Undergraduate Researcher

Oct 2019Aug 2021 · 1 yr 10 mos

  • Benchmarked security and performance metrics for Standard Docker containers, gVisor, and host VMs in terms of container lifecycles, network throughput, and I/O throughput.
  • Developed an Adaptive Security Model for multi-level microservice architectures, to protect applications on edge systems and the host systems itself from breaches in applications running in containers while finding a balance with performance.
  • The hybrid secure deployment algorithm combines static vulnerability analysis and remidiation techniques and dynamic intrusion detection with Autoencoder and SVM based anomaly detection models.
  • The adaptive deployment uses a combination of Docker and gVisor runtimes to ensure security while maintaining a balance with application performance.
PythonDockerIntrusion DetectionVulnerability ScanningContainerizationLinux+2

Ibm

Summer Project

May 2019Aug 2019 · 3 mos

  • Summer Research Project as part of the GRM program at IBM Research Labs, Bengaluru.
  • Worked on building custom algorithms and formulae for evaluating and quantifying Data Completeness as a metric for Data Quality in AI-ready data sets.
  • Used the Wikitables dataset to generate new datasets (tables) based on user requirements (queries) by applying transformations and aggregations and ranking them based on their "Completeness" scores.
PythonNLTKNatural Language Processing (NLP)Pandas (Software)NLP

Education

North Carolina State University

Master's degree — Computer Science

Aug 2023May 2025

PES University

Bachelor's degree — Computer Science

Jan 2017Jan 2021

St. Joseph's Pre-University College

Jan 2015Jan 2017

St. Joseph's Boys' High School

Jan 2009Jan 2015

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