Build. Observe. Learn.

I’m Kaushik — Software Engineer focused on high-impact APIs, cloud infra, and production ML pipelines.

Kaushik Karanam

About

From Code to Cloud: Engineering Scalable Solutions.

I’m a Master’s graduate in Information Systems at Northeastern University with 2+ years of professional experience as a Software Engineer. My work spans building distributed backend systems, cloud-native applications, and machine learning pipelines that scale from prototype to production. I bring hands-on expertise in Java Spring Boot, Python, CI/CD, and cloud platforms (AWS, GCP, Azure), complemented by a strong foundation in automation and full-stack development.

2+ yrs Industry Experience
10+ Projects
MS Northeastern University

Experience

Professional Journey

Graduate Student & Research Assistant

Sep 2023 – May 2025 · Northeastern University
  • Developed deep learning models with TensorFlow & PyTorch for time-series and image data, boosting forecasting accuracy by 15% over baselines.
  • Architected scalable data pipelines across Azure, GCP, and AWS, accelerating experimentation and ensuring reproducible ML workflows.
PythonMLJavaAWS GCPAzureSpringBootCI/CDSQL

Software Engineer

Oct 2021 – Jun 2023 · Earthlink
  • Engineered RESTful microservices with Java Spring Boot for platforms serving 500K+ daily users, cutting release cycles by 75% via CI/CD automation.
  • Built automated testing frameworks (JUnit, Selenium, Postman) to reach 85%+ coverage and reduce regression time by 60%.
JavaSpring Boot JUnitSeleniumPostman

SKILLS

Skills

Full-Stack • Cloud • ML

Programming Languages

  • Java
  • Python
  • JavaScript
  • SQL
  • TypeScript
  • Bash

Web Technologies

  • Spring Boot
  • Node.js
  • Express
  • FastAPI
  • React
  • Next.js
  • HTML
  • CSS

Database & Data Engineering

  • PostgreSQL
  • MySQL
  • MongoDB
  • Redis
  • Airflow
  • Kafka
  • Elasticsearch
  • Snowflake

Distributed Systems & Cloud

  • AWS
  • GCP
  • Azure
  • Docker
  • Kubernetes
  • CI/CD
  • Jenkins
  • Terraform

Machine Learning

  • Neural Networks
  • TensorFlow
  • PyTorch
  • scikit-learn
  • NumPy
  • Pandas

Generative AI

  • Natural Language Processing
  • OpenAI API
  • RAG
  • Vector DBs
  • Prompt Engineering

Projects

Featured Work

Cloud Project

Architected a secure, auto-scaling cloud application with CI/CD pipelines and multi-layered encryption on GCP.

GCPTerraformCI/CDDockerCloud SecurityNetworking

Precipitation Forecasting

Developed deep-learning models using satellite and weather data to accurately predict rainfall patterns.

PythonTensorFlowDeep LearningNeural NetworksTime-series

BI Analytics

Built an ETL pipeline and interactive dashboards to analyze multi-city motor vehicle accident datasets.

PythonETLSQLTalendAlteryxPower BI / Tableau

Order Management System

Implemented a Spring Boot microservices system for role-based inventory, catalog, and order management.

JavaSpring BootMicroservicesMySQLRBAC

See more of my work on GitHub.

GitHub

05 — Contact

Let’s build something great.

Open to full-time roles. Feel free to reach out!