Tanish Samir Desai

• Built a low-latency NLP pipeline using methods like Bag-of-Words and contextual embeddings (BERT) to extract fund data from 10K+ filings of firms like BlackRock, Vanguard, and State Street.
• Gained interdisciplinary understanding of finance and NLP, extending beyond my core computer science background through close collaboration with researchers at ISB.

• Collaborated with Paolo Bonzini, Stefan Hajnoczi, and other QEMU contributors to design and implement the entire Rust Tracing Support for QEMU (PATCH 00/16) — implementing 4 of the most-used tracing backends (log, stderr, simple, ftrace) using C FFI bindings from Rust.
• Optimized SimpleTrace by separating hot and cold tracing paths, eliminating ~6 redundant assembly instructions per tracepoint, reducing overall build size by ~23 MB on Ubuntu 22.04, and improving runtime tracing efficiency.
• Submitted 13+ patches covering tracing infrastructure cleanup, code generation improvements in tracetool, and build fixes (MacOS duplicate symbol, Verilog autogeneration edge cases).

• Added CIMD (SEP-991) support for URL-based client IDs (#570) and implemented OpenID Connect discovery per spec-2025-11-25 §4.3 (#598).
• Contributed spec compliance work for tool name format (SEP-986, #551), redirect URI fixes, and routine build/workspace fixes across 7 merged PRs.

• Developed microservice using Spring Boot, enabling multi-level authorization for corporate credit cards in the Chase Mobile App under the guidance of Balakumaran Marimuthu. Received commendation from Indeevara De Silva.
• Faced the challenge of working with Spring Boot, JWT, and OAuth 2.0 for the first time but overcame it quickly by learning through online Udemy courses.

Instructor: Prof. Arnab Kumar Paul | 900+ Students

• Primarily responsible for designing graded assignments for the labs I have contributed by creating a beginner's start guide.
• Built 2 labs on C++ questions: one on sorting and the second on file operations.

Instructor: Prof. Harikrishnan N. B. | 270+ Students

• Designed evaluative labs, including a unique lab where students need to design a clock that should work on another planet (X1b) with different orbit duration and number of hours in a day using concepts of flip flops and other digital design concepts. Also helped in designing the final Lab exam and invigilation.
• Conducted multiple tutorials teaching students the basics of Verilog.
• Built an autograder for this course, making all labs evaluate automatically. This reduced the workload on the professor and other TAs while making evaluation consistent and fair. Previously, labs were evaluated manually by teaching assistants.

Instructor: Prof. Gargi Prabhu | 270+ Students

• Conducted various tutorials to teach students 8086 processor basics and ASM programming.
• Built on the Verilog autograder by adding ASM functionality, making this lab evaluation fully automated. This autograder is still being used for lab evaluations.

Part of the B.Sc. Online Computer Science Program of BITS Pilani.

• Resolved student queries on online forums and evaluated mid-semester and final-term exams.