Headline

Software Engineering Intern @Lowe’s Commerce Solutions | SIH ’2024 Finalist | Final Year CSE

About

I like building things that actually work. That is what got me into software, and it is what has kept me going. I am currently a Software Engineer Intern at Lowe's India. Over the past year I have built PySpark and SQL pipelines powering business-critical dashboards, led a cloud migration from Hadoop to GCP including moving dashboards to Looker using LookML and PDTs, and shipped an autoencoder-based anomaly detection service on live order data running via Airflow. I did not just contribute to these. I owned them. Outside of work I keep building. BlogoSphere is a full-stack MERN platform with real-time collaboration via Socket.IO, an AI writing assistant using LangChainJS, and Razorpay payment integration. Sahyog was a disaster response platform I built with a team of six using React, Node.js, and Gemini AI during Smart India Hackathon 2024. We made it to the national finals competing under an NDRF problem statement, which is something I am genuinely proud of. I am a final-year CSE student at Kalvium's UG Program at Chitkara University, a program that is less about grades and more about shipping real software. CGPA is 10.0, but the projects say more. I'm actively looking for SWE internship or full-time opportunities in backend, data engineering, or full-stack roles. If you're building something hard and need someone who can take ownership from day one, I'd love to connect.

Location

Kasauli

AI stack

antigravity

claude code

codex

cursor

github copilot

Devin

Work experience

Software Engineer Intern at Lowe's Commerce Solutions, Aug 2026 - Present · 2 mos, Bangalore Urban

Software Engineer Intern - Enterprise Cart and Checkout at Lowe's India, Aug 2024 - Present · 2 yrs 2 mos, Bangalore Urban, Part of the LCE (Lowe's Checkout Engine) Insights team, building data pipelines, KPI reporting infrastructure, and dashboard systems that product and business teams rely on daily. • Built PySpark and SQL pipelines producing aggregated KPI datasets powering business-critical reporting dashboards across the LCE Insights platform. • Designed a dynamic user-specific filter framework using React, Redux, and Spring Boot Reactive, reducing manual data exploration time by 30%. • Optimized PySpark pipelines by replacing virtual datasets with physical aggregate tables in HDFS, cutting dashboard load times by 40-60%. • Orchestrated Airflow DAGs for daily KPI refreshes with Grafana alerting, improving data availability and reducing pipeline incident response time by 50%. • Built an autoencoder-based anomaly detection service on digital and in-store order data, running every 30 minutes via Airflow with automated email alerts for proactive issue detection. • Led cloud migration from Hadoop to GCP and Superset to Looker, leveraging LookML, PDTs, and aggregate awareness to achieve 35% faster dashboard performance. • Solely owned end-to-end development of the Tender Anywhere error analytics and DIY Estimates dashboards in Looker, surfacing insights across transaction errors, estimate conversion, revenue, and pilot-store performance. • Configured Looker Conversational Analytics to enable natural language querying of KPI data for ad-hoc analysis.

Open Source Developer at GirlScript Summer of Code, Jul 2025 - Nov 2025 · 5 mos, Remote

Education

Bachelor of Engineering - BE, Computer Science, Chitkara University

Specialization in Software Product Engineering, Kalvium

Public links

github: https://github.com/Abhinandan-4321

leetcode: https://leetcode.com/Abhinandan-0205