Rajdeep Singh
Full-Stack Developer & AI/ML Engineer | Open Source Contributor | Expert @ Codeforces | Knight @ LeetCode | 4★ @ CodeChef | 3x Hackathon Winner |
- Role
- Open Source Contributor at Openmetadata
- Location
- Jaipur, RJ, IN
- LinkedIn followers
- 500 followers
About Rajdeep Singh
I’m a B.Tech CSE student at Amity University Rajasthan, working at the intersection of full-stack development and AI/ML. I primarily build scalable web applications using Next.js and the MERN stack, while also exploring deep learning and large language models with PyTorch. Lately, I’ve been focused on understanding LLMs beyond just using APIs—building them from scratch, experimenting with fine-tuning, and working with techniques like LoRA and efficient inference. I enjoy fast-paced environments where ideas turn into working products, which is why hackathons have been a big part of my journey—I’ve won multiple hackathons and placed as Runner-Up at the Beyond Transformers Hackathon (E-Summit IIT Ropar). Alongside this, I stay active in competitive programming (Codeforces, LeetCode, CodeChef) to sharpen problem-solving. I also contribute to open source in the AI and DevOps space, and I’m always open to collaborating on interesting projects or discussions around AI, systems, and real-world applications.
Experience
Open Source Contributor
Apr 2026 — Present
Contributed extensively to OpenMetadata, an open-source metadata management platform, focusing on performance optimization, bug resolution, and UI improvements (31 total PRs: 12 merged, 19 open).Backend & Performance:Resolved a severe N+1 query issue by implementing bulk-fetching for Airflow task instances, accelerating pipeline status yields.Prevented runtime crashes by introducing defensive type handling in the REST client.Sped up application cache performance by removing unnecessary JSON serialization/deserialization cycles.Data Ingestion & Integrations:Fixed critical parsing and extraction bugs across multiple connectors, including Redshift materialized views, query masking functions, and Kafka schema registries.Corrected data sampling logic to correctly respect randomized sample flags at 100% thresholds.Frontend & Localization (i18n):Enhanced internationalization by adding dedicated translation keys for proper French rendering and missing bulk-operation menu items.Patched frontend UI components (Combobox and Autocomplete) to ensure consistent typography and styling.
Education
Saraswati Dham
10th Standard, Secondary Education
Saraswati Dham
12th Standard, Science
Amity University Rajasthan, Jaipur
Bachelor's Degree, B.Tech Computer Science & Engineering
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