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Rahul Kumar

@rahulkumar98

Software consultant at Brij Udyog Vihar who built a real-time CRM used by 15+ staff daily.

India
Message

At Brij Udyog Vihar, I built and deployed a CRM platform used by 15+ staff daily to manage property listings, leads, and client interactions. I implemented live collaboration with WebSockets and used Redis-based distributed locking to prevent concurrent edit conflicts.

At IIT Delhi, I developed and fine-tuned computer vision algorithms to remove rain streaks from real-world images and videos. I used gradient-based rain detection and directional filtering with OpenCV and Python, and prepared datasets, trained models, and validated results on benchmark datasets.

On my tiny-hnsw project, I implemented an HNSW engine from scratch and measured sub-2ms P50 search latency with up to 89% recall@10 on 10K vectors. I’m currently integrating Qdrant with LanceDB for a hybrid search pipeline, and I also built LMAX-rs, a Rust order matching engine that sustained 1.0–1.3M messages per second in stress testing.

Experience

Work history, roles, and key accomplishments

BV

Software Consultant

Brij Udyog Vihar

May 2026 - Jul 2026 (2 months)

Built and deployed a CRM platform used by 15+ staff daily for property listings, leads, and client interactions. Implemented real-time collaboration with WebSockets and Redis-based distributed locking to prevent concurrent edit conflicts.

ID

Research Intern

IIT Delhi

May 2025 - Jun 2025 (1 month)

Developed and fine-tuned deraining algorithms to remove rain streaks from real-world images and videos. Implemented gradient-based rain detection and directional filtering using OpenCV and Python, and validated results on benchmark datasets.

Education

Degrees, certifications, and relevant coursework

Vellore Institute of Technology (VIT), Vellore logoVV

Vellore Institute of Technology (VIT), Vellore

Bachelor of Technology, Computer Science with Specialization in Data Science

2023 -

Grade: 9.23 CGPA

Pursuing a Bachelor of Technology in Computer Science with a specialization in Data Science, maintaining a CGPA of 9.23.

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