Available for opportunities

Jayanth Somuri Senior Software
Engineer

Full-stack engineer with 4+ years building scalable, AI-driven CRM and enterprise applications. Specialized in microservices, cloud-native systems, and intelligent automation — delivering up to 45% latency reductions and eliminating hours of manual workflows.

4+
years exp.
45%
latency cut
500+
PRs managed
3.80
MS GPA
Jayanth Somuri
Jayanth Somuri
@ Altimetrik · Cincinnati, OH
React Node.js AWS TypeScript AI/LLM
01.

Experience

Senior Software Engineer
Altimetrik (SLK America) — Cincinnati, OH
May 2025 – Present
ReactReact NativeNode.js Spring BootGraphQLAWS Lambda Azure FunctionsMicrosoft GraphDocker
  • Built CRM features for Sales Counselors using React and React Native, integrating HubSpot APIs and third-party Maps services; deployed microservices on AWS Lambda reducing API latency by 30%.
  • Engineered an event-driven AI agent using Microsoft Graph and Azure Functions to monitor real-time org changes; autonomously reconciles user roles and CRM permissions, eliminating 15+ hrs/month of manual overhead with 100% data consistency.
  • Decoupled monolithic CRM into Spring Boot and Node.js microservices with GraphQL APIs, reducing latency by 45% (800ms → 440ms); grew test coverage from 52% to 84% via JUnit/Jest CI/CD pipelines.
  • Led code reviews and offshore team collaboration; translated business specs into dev tasks, reducing rework by 15%.
  • Orchestrated automated release pipeline replacing manual cherry-picking with logic-driven promotion strategy; managed 500+ PRs across QA/Staging/Production, reducing rollbacks by 99%.
Software Engineer
Fischer Homes — Cincinnati, OH
Apr 2024 – May 2025
Angular 12+React 18TypeScript Node.jsSpring BootRedux GraphQLClaude AIJenkins
  • Built Sales and Land CRM features in Angular 12+ and React 18 with Spring Boot/Node.js microservices, accelerating feature delivery by 20%.
  • Engineered complex React components using hooks and Redux state management; implemented bulk operations, reusable UI libraries, and responsive layouts.
  • Architected a predictive scheduling agent with Claude AI to analyze appointment density; automated conflict resolution logic increased customer engagement by 20%.
  • Developed cross-platform mobile features using React Native and TypeScript; conducted technical feasibility assessments for complex architectural reviews.
  • Managed Jenkins and GitHub Actions CI/CD pipelines; coordinated production releases ensuring zero-downtime deployments.
Software Developer
Technocolabs Software
Mar 2021 – Jul 2023
Node.jsExpressReact TypeScriptMongoDBRedisMySQL
  • Engineered a full-stack B2C e-commerce platform serving 5K+ daily active users using Node.js/Express, TypeScript, MongoDB, and React.
  • Implemented Redis caching and query optimization, reducing API response times by 40% and increasing user engagement by 45%.
  • Integrated enterprise APIs with JWT authentication and Hibernate ORM; built real-time dashboards with MySQL and Power BI.
Research Intern — Software & AI
IIT Indore
Apr 2020 – Aug 2020
TensorFlowRNN-LSTMSARIMAPython
  • Developed predictive deep learning models (RNN-LSTM, SARIMA, ARIMA) for sunspot forecasting under Dr. Saurabh Das, achieving RMSE of 9 through hyperparameter tuning.
02.

Technical Skills

Languages

JavaScript (ES6+)TypeScript JavaPython

Frontend

ReactAngularReact Native ReduxMaterial UITailwind CSSHTML5/CSS3

Backend

Node.jsSpring BootGraphQL REST APIsSequelizeRabbitMQNginx

Databases

MySQLPostgreSQLMongoDB RedisElasticsearch

Cloud & DevOps

AWS (EC2, S3, Lambda)Azure DockerKubernetesTerraform GitHub ActionsJenkinsCI/CD

Testing & Tools

JestMocha/ChaiCypress PlaywrightJUnitSonarQube Auth0Postman

AI & LLMs

Claude AIOpenAI APIOllama GitHub CopilotPrompt EngineeringTensorFlow
03.

Education

Graduate

University of Cincinnati

M.S. Computer Engineering
GPA: 3.80 / 4.0
Aug 2023 – Dec 2024
Gold Medalist

SRM Institute of Science and Technology

B.Tech Computer Science (IoT)
GPA: 9.68 / 10.0 · University Gold Medal
2019 – 2023
04.

Publication

Smart Hybrid Feature Analysis for Brain Tumor Prediction using Transfer Learning

Research on intelligent hybrid feature extraction combining transfer learning techniques for accurate brain tumor classification on medical imaging datasets.

Best Paper Award Springer — Cyber Security & Intelligent Systems 2024 Dec 2024
05.

Get In Touch

Phone
513-289-2293
Location
Cincinnati, Ohio, USA