Headline

Backend Engineer | Ex-Flipkart | IIIT Lucknow ’25

About

I build production-grade backend systems that scale. As a Freelance Backend Engineer, I recently architected CogniFlow, an AI-powered market intelligence platform using Spring Boot, Weaviate vector database, and Google Gemini API – deployed serverlessly on Google Cloud Run with scale-to-zero for cost efficiency. I implemented a complete Retrieval-Augmented Generation (RAG) pipeline with hybrid search, enabling natural-language queries over real-time stock data. Previously at Flipkart, I developed the Albatross System – a centralized logging platform for git commits and CI/CD pipelines. I selected HBase over relational databases to handle high-velocity writes and managed deployments using Docker and Kubernetes, gaining deep insight into distributed systems at scale. Technical strengths: Languages: Java, C++, Python, SQL, JavaScript Backend: Spring Boot, Microservices, REST APIs Infrastructure: Docker, Kubernetes, HBase, GCP, Cloud Run AI/Data: RAG pipelines, Vector Databases (Weaviate), Gemini API 🎯 Currently based in Bengaluru and actively seeking SDE-1 / Associate roles – open to full-time opportunities in backend engineering, distributed systems, and AI-powered applications. 📬 Let's connect: shrishkumar.netlify.app

Location

Greater Bengaluru Area

AI stack

aistudio

deepseek

gemini

geminicli

hugging face

llama.cpp

Work experience

Freelance Backend Developer at CogniFlow (Solo SaaS), Jul 2025 - Present · 1 yr 4 mos, Remote, Architected and deployed an AI-powered market intelligence platform using Spring Boot, Weaviate vector database, and Google Gemini API – deployed serverlessly on Google Cloud Run with scale-to-zero for optimal cost efficiency. Engineered a scheduled data ingestion pipeline using Cloud Scheduler, processing real-time stock data to generate contextual "vibe check" financial 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.

Software Engineering intern at Flipkart, Feb 2025 - Aug 2025 · 6 mo, Bengaluru, Karnataka, India, 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 chose this 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 the system was rigorously tested and stable before moving to production. 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.

Software Engineer Intern at DRDO, Ministry of Defence, Govt. of India, Dec 2023 - Jan 2024 · 2 mos, Āvadi, Tamil Nadu, India, Developed a data management utility to organize research datasets, ensuring data consistency and integrity across the internal system. Optimized SQL query performance by implementing indexing and refining query logic, which improved data retrieval speeds for the research team. Assisted in streamlining the data layer, helping reduce inconsistencies in research summaries and making report generation more reliable.

Education

Bachelor of Technology - BTech, Information Technology, Indian Institute of Information Technology Lucknow

CBSE Class 12th, DAV Public School, Khagual

Public links

github: https://github.com/AndDevil