About

Well, hello there 👋. I’m Jaideep and welcome to my little corner of the web.

This site exists for three main reasons:

1. to prove that I’m not just a GitHub username floating in the void
2. to document and share my research and engineering projects
3. to give myself a space to write about the things that fascinate me in tech and beyond

My current technical interests include:

• Internet and network architecture
• Systems engineering and video streaming optimization
• Writing tools and automation to keep myself out of repetitive misery
• GameDev (currently developing my own platformer)

🎓 Education

1. M.Sc. Computer Science

Universität des Saarlandes, Saarbrücken, Germany Oct 2022 – Oct2025

• Grade: 1.7/4.0 (Best: 1.0)
• Course Work: Data Networks, Distributed Systems, Security, Database Systems

2. B.Tech. Information Technology

KJ Somaiya Institute of Technology, Mumbai, India Jul 2018 – May 2022

• Grade: 1.3/4.0 — (Best: 1.0)

💼 Experience

1. Master Thesis

Max Planck Institute for Informatics, Saarbrücken, Germany Feb 2025 – Oct 2025

• Extended the legacy JSVM (H.264/SVC) C++ codebase by implementing bitstream-level optimization modules, enabling fine-grained data reduction without re-encoding.

• Designed and implemented a dependency-graph–based ranking algorithm in C++ to selectively remove low-impact data, preserving structural correctness while reducing bitrate by up to 86%.

• Built an experimental benchmarking framework to quantify quality–efficiency trade-offs, evaluating optimization strategies across large video datasets under strict decoding constraints.

2. Research Assistant

Max Planck Institute for Informatics, Saarbrücken, Germany Aug 2024 – Mar 2026

• Designed and implemented an optical switch simulation model in ns-3 for optical network experimentation.

• Reduced IP aliasing analysis runtime by 30% by migrating a pandas-based data processing workflow to Dask and enabling parallel execution across multiple workers.

• Developed a Docker-based BGP fuzzing framework to systematically test routing implementations (FRR, BIRD, OpenBGP), automating containerized test orchestration.

• Built a multi-process Python pipeline to process RIPE Atlas daily dumps, distributing parsing and processing tasks across worker processes and coordinating stages through inter-process queues for scalable analysis.

3. Working Student

OTH Regensburg, Sappz, Regensburg, Germany Jan 2024 – Dec 2024

• Implemented query pagination (limit/offset) in the Apache CouchDB Python client, py-couchdb, improving performance when handling large result sets.

• Maintained and extended a Python-based ROS testbed management library for orchestrating distributed data collection from heterogeneous sensors.

• Engineered a scalable data pre-processing pipeline for regulatory compliance by automating data filtering and analysis, ensuring accuracy for datasets exceeding millions of records.

💻 Projects

1. YFS – Yet Another File System [GitHub]

• Implemented a C++ distributed file system with FUSE, featuring a scalable, low-contention client-server model for shared network-backed storage.

• Ensured reliability and optimized performance using Valgrind (Memcheck, Callgrind), Address/Thread Sanitizers, and Flame Graph profiling to detect memory leaks, race conditions, and bottlenecks.

2. LLDP – Link Layer Discovery Protocol Agent [GitHub]

• Developed a network discovery agent in Rust using LLDP, with frame parsing and generation for protocol compliant device communication and topology mapping.

3. SQLite Fuzzer [GitHub]

• Developed a probabilistic grammar-based fuzzer in Python for SQLite, generating diverse and semantically valid SQL queries to test database robustness.

• Introduced memoization and precomputation of grammar expansion costs, during input generation. Increasing fuzzing throughput by 30%.