kishore cheruku

Co-Founder

Quincy, Massachusetts, United States8 yrs 11 mos experience

Highly Stable

Key Highlights

13+ years of backend engineering experience.
Expertise in scalable systems with Ruby on Rails and Java.
Currently integrating Machine Learning into applications.

Stackforce AI infers this person is a Backend Engineer with a focus on SaaS and AI-driven systems.

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Skills

Core Skills

Backend DevelopmentMicroservices ArchitectureApi Design

Other Skills

Spring BootGitDockerPostgreSQLSystems DesignLinuxAmazon EC2JWTFastAPIStreamlitAWS EC2REST APIsDefining RequirementsNode.jsRuby on Rails

About

With 13+ years of experience in backend engineering, I specialize in building scalable systems using Ruby on Rails and Java/Spring. My work spans enterprise applications, secure APIs, database optimization, and production-grade deployments across PostgreSQL and Linux environments. Currently, I am expanding into Machine Learning and AI-driven systems. After completing core ML foundations, I am actively integrating intelligent features into real-world applications — bridging traditional software engineering with data-driven decision-making. My goal is to evolve from backend engineer to AI-enabled systems architect — building software that is not just scalable, but intelligent.

Experience

8 yrs 11 mos

Total Experience

Average Tenure

Current Experience

Datainsights (independent product initiative)

Founder & Backend Architect – DataInsights

Dec 2025 – Present · 6 mos · Massachusetts, United States · Remote

Designed and developed a full-stack data analytics platform enabling users to upload, analyse, and visualise sales data through an interactive web interface.
Built backend APIs using FastAPI with secure JWT-based authentication
Designed relational database schema using PostgreSQL for user and analytics workflows
Developed interactive UI using Streamlit for real-time data exploration
Containerised application using Docker and Docker Compose
Deployed to AWS EC2 with HTTPS configuration using Caddy reverse proxy
Implemented secure login, registration, and role-based access control
Designed modular architecture to support future ML integration
Currently integrating Machine Learning features to enable predictive insights and intelligent analytics capabilities.
Tech Stack: Python, FastAPI, Streamlit, PostgreSQL, Docker, AWS EC2, JWT, Linux, Git