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Resume

Curriculum Vitae

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Education

B.S. Electrical and Computer Engineering

2023 - 2026 (expected)

Purdue University · West Lafayette, IN

  • GPA: 3.77.
  • Graduate-level coursework: Artificial Intelligence, Machine Learning, Data Mining, Advanced Computer Networks, Applied Cryptography, Embedded Systems.
  • Upper-level coursework: Computer Vision, Natural Language Processing, Computer Security, Signals & Systems, Operations Research & Optimization.

Research Experience

Undergraduate Research Assistant

08/2025 - Present

Purdue University, Duality Lab (Advisor: Prof. James Davis) · West Lafayette, IN

  • Designed a DPO-based multi-objective LLM optimization framework (Hydra) with an adaptive Dirichlet sampling mechanism that dynamically reweights training objectives, achieving 46.7% latency and 36% energy reduction on held-out benchmarks.
  • Fine-tuned a 7B-parameter code model (Qwen2.5-Coder-7B-Instruct, QLoRA) on a large-scale preference dataset across 5 system-level metrics using Purdue's HPC cluster infrastructure.
  • Research poster presentation accepted at the Design Automation Conference (DAC) with a DAC Young Fellowship.

Student Research Trainee

06/2024 - 07/2024

OpenAirInterface Software Alliance (EURECOM) · Pretoria

  • Conducted real-time simulation and data-driven analysis of 5G systems.
  • Explored ML-based resource optimization strategies for dynamic spectrum allocation.

Teaching Experience

Undergraduate Teaching Assistant, ECE 57000 (AI) & ECE 2k8 Lab

01/2026 - 05/2026

Purdue University, School of ECE · West Lafayette, IN

  • Held office hours supporting machine learning and AI concepts.
  • Evaluated final project presentations, assessing methodology and technical rigor.
  • Mentored students in circuit design, measurement, and debugging.

Skills

Languages

PythonC/C++SQL

ML / AI

Reinforcement LearningDirect Preference Optimization (DPO)LLM Fine-Tuning (QLoRA/LoRA)Generative ModelsAgentic MechanismsNLPTime-Series ForecastingTensorFlowNumPyHugging Face Transformers

Systems & Optimization

GPU ComputingMulti-Objective OptimizationPerformance Profiling

Development Tools

Git/GitHubHPCSlurmperf stattracemalloc

Mathematics

Linear AlgebraProbability & StatisticsConvex & Non-Convex OptimizationInformation TheoryFisher Information Analysis

Awards

  • DAC Young Fellowship (Design Automation Conference, 2026)
  • ECE Dean's List & Semester Honors, Purdue University
  • IMS Connect Project Fellow, IEEE International Microwave Symposium
  • NSF Grant Award
  • EESAT Student Program Award