About Me

I’m a curious and driven Master’s student at UT Austin, specializing in Machine Learning and Data Science within Electrical and Computer Engineering. Currently, I’m machine learning engineer at Synthefy working on time-series diffusion models. I’m passionate about reinforcement learning and natural language processing fields where I get to combine optimization with creative problem-solving to tackle real-world challenges.

For more information checkout my resume:

Experiences

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Synthefy

Machine Learning Engineer | Austin, TX | Sep 2025 – Present

  • Architected a foundational Patched Diffusion Transformer with In-Context Learning to synthesize physiological signals.
  • Engineered a scalable Hydra-based ETL pipeline unifying 20+ datasets and reduced downstream error by 12% via a TRSTR framework.
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AMD

Machine Learning Infrastructure Intern | Austin, TX | May 2025 – Aug 2025

  • Built a scalable semantic retrieval pipeline using OpenAI embeddings to match hardware logs via vector similarity.
  • Compressed logs by 97% to enable long-context embeddings, improving ETL speed by 45x and automating ingestion workflows.
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The University of Texas at Austin

Machine Learning Researcher | Austin, TX | Aug 2023 – May 2025

  • Advanced a novel human activity classification model using feature fusion with real-time acoustic and inertial data.
  • Adapted a MobileNet V2 architecture via transfer learning and deployed lightweight computer vision models for edge devices.
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Cvent

Software Engineer Intern | Tysons Corner, VA | Jun 2024 – Aug 2024

  • Designed JavaScript date-time modals with optimized state management using Redux and React Hooks.
  • Implemented real-time data visualization with Datadog to monitor GraphQL queries.
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FirstParty

Applied Machine Learning Intern | New York, NY | Jun 2023 – Jun 2024

  • Built embedding-based similarity pipelines in SageMaker using GPT embeddings and designed an NLP-based classification system achieving 95% accuracy via Levenshtein distance algorithms.

Projects

Here are some of my projects that I have worked on. Feel free to click on the images or title to learn more.

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FluxServe

A trace-driven simulator and characterization suite designed to evaluate dynamic batching strategies for diffusion-based large language models (dLLMs).

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C-RECS

A conversational recommender system integrating an LLM with a traditional recommender engine for context-aware recommendations.

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Fashion Atlas

An image re-identification application from a clothing dataset

RationaLlama

RationaLlama

Fine-tuned a Llama 2 model to solve complex rational Natural Language Inference (NLI) tasks.

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H-Suite

A web application for a Hardware-as-a-Service (HaaS) system.

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Fin.dec

A web application designed to provide personalized financial advice and investment strategies based on your current financial situation and goals.

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APL Catalog Management System

A comprehensive library management system enabling clients to check out and return books, movies, and other media.

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Optiver Ready Trader Go

A high-frequency trading algorithm designed for the Ready Trader Go competition hosted by Optiver.

(C)at Trap Main Page

(C)at Trap

A simulation of the online Cat Trap game utilizing C and assembly languages on a TM4C board.

Skills

Get In Touch

Let me know if there are any questions, or comments on my projects or potential work to collaborate on.
Open to Connect!