Bhavya Bandi

Master’s student in Computer Science with expertise in parallel programming and AI/LLM tools. Proficient in full-stack development and building scalable, high-performance systems. Experienced in utilizing modern technologies such as C, Docker, and Streamlit to deliver effective solutions.

Multithreaded π Estimation using Pthreads

Language: C | API: POSIX Threads (Pthreads)

• Developed a multithreaded π approximation program using the Leibniz formula and manually created/joined threads with pthread_create and pthread_join.
• Managed shared memory and synchronized access to avoid race conditions.
• Benchmarked performance across input sizes (up to 1 billion terms) and 1–16 threads using the time command.
• Analyzed speedup, scalability, and diminishing returns at higher thread counts.

Numerical Integration using OpenMP

Language: C | Model: OpenMP Shared-Memory Parallelism

• Parallelized the trapezoidal rule for numerical integration using #pragma omp parallel for and reduction techniques.
• Refactored input handling to accept command-line arguments for automated testing.
• Benchmarked performance on workloads up to 1 billion trapezoids with 1–16 threads.
• Compared OpenMP performance and ease-of-use to Pthreads for shared-memory tasks.

Distributed Monte Carlo π Estimation using MPI

Language: C | Model: Message Passing Interface (MPI)

• Built a distributed Monte Carlo π estimation program using MPI_Send, MPI_Recv, MPI_Reduce, and MPI_Wtime.
• Implemented command-line inputs and used MPI_Wtime() to profile runtime per process group.
• Ran benchmarks on workloads up to 1 billion darts across 1–16 processes.
• Evaluated scalability and communication overhead in a distributed-memory model.

• Designed and built an AI-powered chatbot system using Streamlit, Langchain, and Mistral-7B; modeled architecture in Figma.
• Completed advanced parallel programming projects with Pthreads, OpenMP, and MPI as part of graduate coursework.
• Dockerized project environments for cross-platform testing and deployment.
• Practiced UI/UX design and prototyping using Figma; created mock dashboards and chatbot interfaces.

 Smart Library Resource Manager

Python, Tkinter, MySQL

• Built a desktop application to manage books, members, issuing/returning, and overdue fines.
• Developed a user-friendly GUI with Tkinter, and connected to a MySQL database using mysql-connector-python.
• Implemented real-time validation, fine calculation logic, and transaction tracking.
• Proposed future enhancements including user authentication and cloud-based access.

Certifications
In Progress:

• Docker Essentials – IBM SkillsBuild
• LangChain for LLM Application Development – DeepLearning.AI
• Parallel Programming with OpenMP – Udemy