Shrish Kumar

Bengaluru , India $20/hr Remote Full-time 1+ yrs exp 77 · Very Good

About

Backend Engineer with 1 year of experience building production-grade systems. Former Software Engineering intern at Flipkart, where I developed the Albatross System – a centralized logging platform for git commits and CI/CD pipelines using Java, Spring Boot, HBase, and Kubernetes – serving 50+ microservices. Built CogniFlow, an AI-powered market intelligence SaaS using Spring Boot, Weaviate vector database, and Google Gemini API – deployed serverlessly on Google Cloud Run with scale-to-zero. Tech: Java, Spring Boot, Microservices, Docker, Kubernetes, GCP, HBase, RAG, Vector DBs Looking for SDE-1 / Associate roles in backend engineering, distributed systems, or AI-powered applications. Based in Bengaluru, open to remote/hybrid. Let's build something great together!

Skills & Expertise (14)

Java Intermediate

6.5/10

0.5

Years Exp

Spring Boot Intermediate

6.5/10

0.5

Years Exp

Microservices Intermediate

6.0/10

0.5

Years Exp

REST APIs Intermediate

6.0/10

0.5

Years Exp

Kubernetes Intermediate

6.0/10

0.5

Years Exp

Tailwind CSS Intermediate

6.0/10

0.5

Years Exp

HTML Intermediate

5.5/10

0.5

Years Exp

CSS Intermediate

5.5/10

0.5

Years Exp

GitHub Intermediate

5.5/10

0.5

Years Exp

SQL Intermediate

5.0/10

0.5

Years Exp

HBase Intermediate

5.0/10

0.5

Years Exp

Firebase Beginner

4.5/10

0.5

Years Exp

C++ Beginner

3.5/10

0.5

Years Exp

Git/GiHub

Work Experience

Freelance Backend Engineer

CogniFlow

Jul 2025 - Present

Architected and deployed an AI-powered market intelligence platform using Spring Boot, Weaviate vector DB, and Google Gemini API – deployed serverlessly on Google Cloud Run with scale-to-zero capability for optimal cost efficiency. Engineered a scheduled data ingestion pipeline using Cloud Scheduler, processing real-time stock data to generate contextual 'vibe check' summaries via the Gemini API. Implemented a production-grade Retrieval-Augmented Generation (RAG) pipeline with hybrid search (BM25 + vector) over Weaviate, enabling natural-language queries on market insights. Built a responsive Tailwind CSS dashboard with a deterministic mock-vector fallback, ensuring full demo functionality even without live API keys – a critical reliability feature for investor presentations.

Software Engineering Intern

Flipkart

Feb 2025 - Jul 2025

Developed the Albatross System, a backend platform built with Java and Spring Boot to centralize and log the full lifecycle of git commits, CI/CD pipelines, and operational workflows. Implemented the data storage layer using HBase to handle high-volume logging; specifically selected NoSQL over relational databases to ensure fast write speeds and prevent system bottlenecks during traffic spikes. Managed microservice deployments using Docker and Kubernetes within a staging cluster, ensuring system stability through rigorous validation before production release. Streamlined the development lifecycle by automating the tracking of code changes and pipelines into a single platform, providing the team with end-to-end visibility of every deployment.