Architecting Logic. Capturing Light.

Passionate about machine learning and building smart systems. I architect websites, build Android apps, and wire up APIs. Off-duty, I read, play, and see the world through a lens.

Prasad Jawale

About Me

Hi, I'm Prasad. I'm pursuing my Master's in Data Science, where I focus on machine learning and building intelligent systems. I enjoy designing and developing websites, Android apps, and building APIs, and I'm interested in creating clean, minimalistic solutions that solve real problems.
Outside of tech, I'm passionate about photography, especially astrophotography and landscapes. I enjoy planning night shoots, working with long exposures, and refining images in Lightroom. I also like biking, playing guitar, and reading nonfiction, which keeps me curious and always learning.

Prasad Jawale

Summary

On the application side, I build backend systems using FastAPI and Flask, and create user interfaces with React and Tailwind. I work with databases such as PostgreSQL and MongoDB to design reliable data systems. I deploy projects using AWS, Docker, and CI/CD pipelines to ensure smooth, production-ready performance.

I've worked on ML projects using PyTorch and BERT for NLP tasks, including spam detection and topic modeling with BERTopic. My experience also covers distributed training and hyperparameter optimization with Optuna.

I've also explored search and retrieval systems using FAISS and Elasticsearch, and recently started experimenting with LangChain for LLM-based applications, along with blockchain-based projects to better understand decentralized system design.

Skills

Languages

PythonC++SQLBashJava

Backend & APIs

FastAPIFlaskREST APIsAsync APIsPydantic

Data & Databases

PostgreSQLMongoDBPySparkElasticsearchETL Pipelines

Machine Learning

scikit-learnPyTorchNLPBERTClusteringSVDKNN

Experience

Data Analyst Intern (NLP)

Oct '24 - Present

Wisconsin School of Business

  • Engineered a batch ETL pipeline in Python and SQL to ingest and normalize structured hotel reviews, enabling downstream NLP analysis at scale.

  • Stabilized model performance across demographic segments by implementing a robust SpaCy text preprocessing pipeline, reducing variance in F1 scores.

  • Designed a modular topic modeling service using Sequential LDA to automate the categorization of customer sentiment in reviews.

  • Improved topic coherence by 7% by transitioning from Sequential LDA to BERTopic with transformer-based embeddings.

Android Development Intern

Jun '21 - Aug '21

StoccGuru

  • Integrated the Android XML front-end with a Python Flask backend via REST APIs, achieving response times under 250ms.

  • Developed a comprehensive automated testing suite using Postman for unit and integration tests, significantly reducing API failure rates in production.

  • Delivered core backend modules across 5 sprints using Agile/Jira methodologies, ensuring 100% on-time release.

Education

University of Wisconsin - Madison

M.S. Data Science

2024 - 2026

University of Mumbai

B.Tech. AI & DS

2020 - 2024

Publications

LightGBM and Gradient Boosting for Optimizing Shipment Mode in Pharmaceutical Supply Chains

Springer Singapore

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Projects

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Photography

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Collab

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