Professional Experience

Me holding the beanpot trophy at Pitchathon 2025

My journey through internships, research positions and venture accelerators

Cloud Infrastructure Intern

Amazon

Boston, MA

September 2023 - December 2023

Spearheaded AWS operations and connectivity for a system managing thousands of database points, optimizing data flow and improving latency by 15% within connections across distributed environments.

Collaborated on the design and optimization of database architecture, enabling faster query execution and supporting the development of secure, scalable API endpoints to facilitate seamless data access

Integrated vector databases, AWS Amplify, and AWS Direct Connect to enable real-time data synchronization, reduce data retrieval times by 10%, and enhance cross-platform connectivity for cloud-native applications.

Key Achievements
  • Improved implementation of automated monitoring system
  • Developed hands-on expertise in Kubernetes by assisting with container orchestration tasks, streamlining deployment pipelines, and automating infrastructure provisioning
Technologies Used
AWSPythonDockerKubernetes

Software Engineering Mentee

Dell Technologies

Hopkinton, MA

January 2024 - April 2024

Optimized cloud infrastructure by leveraging Dell Technologies APEX Private Cloud, enabling 15% faster deployment times for virtualized environments and improving system scalability

Built custom API integrations and Python scripts to streamline cloud resource provisioning, resulting in a 10% increase in operational efficiency

Key Achievements
  • Contributed to the automation Dell Cloud Platform data pipleline
Technologies Used
PythonDell APEX Private CloudTerraform

Machine Learning & High Performance Computing Researcher

NUCAR Lab w/ David Kaeli

Boston, MA

May 2024 - Present

Conducting research on high-performance computing and ML optimization

Developing CUDA kernels for accelerated deep learning workloads

Publishing research papers on distributed RAG retrieval

Currently researching Sparsity & optimizing sparse matrix operations.

Key Achievements
  • Built multiple RAG full-stack applications for multiple organizations including PROTECT, NIH, NIEHS...
  • Published findings to MIT IEEE
  • Currently working on NvBit Compiler
Technologies Used
CUDAPyTorchC++PythonSlurm

Education

Academic foundation and achievements

Bachelor of Science in Computer Science & Physics

Northeastern University

May 2027

Honors & Awards
  • Dean's List
Activities and Campus Involvement
  • Putnam Club
  • Inter-Disciplinary Entrepreneurship Accelerator (IDEA) Director of Analytics 2024/2025 | Chief Operations Officer (COO) 2025/2026
  • rev.school
Relevant Coursework
  • Intensive Mathematical Reasoning
  • Object Oriented Design
  • Computer Systems
  • Advanced Quantum Mechanics
  • Advanced Linear Algebra
  • Logic & Computation
  • Discrete Structures
  • Technical Skills

    Technologies and tools I work with

    PythonExpert
    Programming7 years
    C++Expert
    Programming6 years
    CExpert
    Programming5 years
    PyTorchExpert
    Machine Learning4 years
    CUDAAdvanced
    Programming2 years
    TensorFlowAdvanced
    Machine Learning4 years
    AWSAdvanced
    Cloud3 years
    Google Cloud PlatformAdvanced
    Cloud2 years
    JavaScript/TypeScriptAdvanced
    Programming5 years
    ReactAdvanced
    Framework4 years
    HaskellIntermediate
    Programming1 years
    RustIntermediate
    Programming2 years
    DockerIntermediate
    Tool2 years
    KubernetesIntermediate
    Tool2 years
    HIP/ROCmBeginner
    Programming0 years
    OCamlBeginner
    Programming0 years