Dilbagh Singh Sidhu
@dilbaghsinghsidhu
Software Engineer | Python, MERN, JS, Data & Backend | Ex-NVIDIA Intern | Open to remote roles
What I'm looking for
I’m a Computer Engineering graduate from Thapar Institute (Class of 2025) with internship experience at NVIDIA and Xebia.
At NVIDIA, I worked in the Deep Learning Projections team, where I built a scalable data storage and analytics platform for simulation workloads using Apache Parquet, DuckDB, and Streamlit — accelerating insights from hundreds of GBs of weekly data.
At Xebia, I contributed as a full-stack developer using the MERN stack, building responsive web apps and REST APIs.
My core interests lie in backend systems, data engineering, DevOps, and full-stack development. I enjoy building reliable, scalable infrastructure and tools that support engineering and research at scale.
I'm actively seeking full-time roles in Software Engineering, Data Engineering, DevOps, or Full-Stack Development.
Tech Stack: MERN(MongoDB, Express.js, React, Node), Python, SQL, Parquet, DuckDB, Streamlit, MERN(MongoDB, Express.js, React, Node.js), Git, Docker, Linux, Cloud Platforms
Experience
Work history, roles, and key accomplishments
Projections and Competitive Analysis Intern
NVIDIA
Jan 2025 - Jul 2025 (6 months)
Developed the DLSim Data Analytics Platform using SQL and Python, a production-ready system for storing, analyzing, and visualizing simulation data across NVIDIA’s deep learning architecture teams. Engineered a robust ETL pipeline leveraging Apache Parquet and DuckDB, reducing storage by 85% and enabling in-process querying via SQL.
Full Stack Intern
Xebia
Jun 2024 - Jul 2024 (1 month)
Worked on backend technologies including Node.js, Express.js, and MongoDB, and integrated Twilio’s Verify service for email and phone number authentication. Assisted in database schema design for various projects.
Education
Degrees, certifications, and relevant coursework
Thapar Institute of Engineering and Technology
Bachelor of Engineering, Computer Engineering
2021 - 2025
Grade: 8.30 CGPA
Pursued a Bachelor of Engineering in Computer Engineering. Gained foundational knowledge in computer science principles and specialized in software development and system design. Achieved a CGPA of 8.30.
Availability
Location
Authorized to work in
Job categories
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