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Prarthana Prathap

Prarthana Prathap

Position: Software Developer, University of Massachusetts Boston
Role: Full-Stack Developer, Data Engineer

Education:

  • M.S. in Computer Science (Machine Learning), University of Massachusetts Boston
    GPA: 3.97 / 4
  • B.E. in Computer Science and Engineering, University Visvesvaraya College of Engineering
    Aggregate: 81.85%

Skillset:

  • Programming Languages: JavaScript, TypeScript, Python, C#, Java, Shell scripting
  • Web Development: Angular, React.js, Node.js, Express.js, Django, FastAPI, Bootstrap, Material UI
  • Databases: SQL (MySQL, PostgreSQL, SQLite)
  • DevOps & Cloud: Docker, AWS, CI/CD (Git, GitHub Actions)
  • APIs & Integrations: RESTful APIs, OAuth2, JSON, Swagger, Postman
  • Testing & Debugging: Jasmine, Karma, JUnit

Email: [email protected]
Links: LinkedIn | GitHub | Portfolio

Biography

Prarthana Prathap is an experienced Software Developer with a strong background in full-stack development, data processing, and scientific computing. With over five years of expertise, she specializes in JavaScript frameworks, backend services, and database management. She has contributed to various research-driven applications, optimized workflows, and developed scalable software solutions.

Work Experience

Software Developer, University of Massachusetts Boston (08/2024 - Present)

  • Developed and optimized REST APIs with response times < 1 ms.
  • Designed and implemented user interfaces using React.js and Angular.
  • Presented software design ideas to non-technical stakeholders for iterative improvements.

Research Assistant, University of Massachusetts Boston (08/2023 - 05/2024)

  • Streamlined genomic data processing pipelines on Linux HPC systems using shell scripting.
  • Developed a web application for structured data visualization, improving accessibility for researchers.
  • Integrated PostgreSQL for efficient data storage and retrieval.

Projects

APIComplex Hub

  • Developed a graph-based gene regulatory network explorer for Toxoplasma gondii using JavaScript, D3.js, and Flask.
  • Enabled interactive data visualization for gene activators and repressors in parasitic studies.

Simply Organize

  • Built a file management system that structures and categorizes uploaded files automatically.
  • Technologies: Node.js, SQLite, OAuth2 authentication.

RTInvest

  • Developed a real-time investment property analyzer integrating Django, MySQL, and external real estate APIs.
  • Displayed ROI calculations on an interactive map with color-coded markers.

AIMusic

  • Developed an AI-powered music feedback system that analyzes users’ singing skills using LLMs (Large Language Models).
  • Provides real-time feedback on pitch, melody, and rhythm accuracy.
  • Built using Python, Flask, React.js, and TensorFlow/Keras for deep learning-based audio analysis.

Accomplishments

  • AWS Certified Cloud Practitioner
  • Winning team in the 2019 Hackathon Challenge: “Do Good with Data” (Refinitiv CTO Award).
  • Presented NLBayes paper in a journal club, leading discussions on Bayesian networks and AI inference.