Academic Projects

LangCache Semantic Caching Library for LLM Queries

Python | Database - Query optimization | Cache | OpenAI

November 2023

• Created LangCache, a semantic caching library to boost LLM query efficiency. Integrated with OpenAI GPT-3.5, improved workflow by query optimization and implemented advanced storage solutions, achieving higher cache-hit rates and improved performance by 30%.

MapReduce Framework Development

C++ | gRPC

December 2023

• Implemented the MapReduce framework inspired by the original paper for processing large text files using gRPC in C++. Optimized performance through file sharding and asynchronous completion queues, ensuring dynamic workload distribution and resource efficiency.

Implementation of Barrier Synchronization algorithms using OpenMP and MPI

OpenMP | MPI | C | Slurm

October 2023

• Developed and implemented advanced barrier synchronization algorithms using OpenMP and MPI in C, drawing inspiration from Mellor-Crummey and Scott’s research. Conducted comprehensive experiments on the PACE COC ICE Cluster, analyzing algorithm behavior and performance in-depth.

Dynamic Resource Management for Virtual Machines

libvirt | C | CPU and Memory Virtualization

September 2023

• Developed a vCPU scheduler and memory coordinator as part of a project, leveraging C programming and the libvirt toolkit to dynamically manage resources for guest virtual machines, including hypervisor calls for load balancing, memory ballooning, and efficient resource allocation, while ensuring optimal performance and stability.

Mini-Internet Network Connectivity Project

BGP | OSPF | IXP | RPKI

September 2023

• Designed and operated a mini-Internet, collaborating with over 100 classmates to establish end-to-end connectivity across 70 Autonomous Systems (ASes) using routing and switching technologies, including OSPF and BGP, while implementing BGP policies and security measures based on business relationships and RPKI to mitigate BGP hijacks.

Personal Projects

Open-source contribution, MetaBrainz organization

Python | Database Design

February 2020 – May 2020

• Submitted a design proposal for a backend database system to ensure multi-version compatibility of the application. This design was crucial for enhancing data acquisition, which in turn improved predictive capabilities in a machine learning model (v2 data).

Drishti – Automated Attendance using facial recognition

SQLite | Python

September 2019

• Designed and developed backend database and system for the machine learning model to generate dashboards of the attendance.