Joyston Menezes
Hey there, I’m

M.S. in Computer Science Graduate | Specialized in Digital Mental Health & Computational Social Science Researcher at USC.

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Building Intelligent Systems with Real-World Impact

I am a Master of Science in Computer Science graduate from USC, combining strong engineering foundations with advanced research capabilities. My expertise spans full-stack development, machine learning, and natural language processing. I am passionate about designing scalable, data-driven solutions that bridge the gap between complex technical challenges and meaningful user impact.

Education

Dec 2024

Master of Science in Computer Science

University of Southern California | Los Angeles, CA

Relevant Coursework: Natural Language Processing, Database Systems, Web Technologies, Data Structures & Algorithms, Multimedia.

The Order of the Laurel and the Palm (2025)

USC's highest graduating distinction awarded for exemplary leadership and scholarship.

Aug 2021

Bachelor of Engineering in Computer Science

NMAM Institute of Technology | Nitte, India

Relevant Coursework: Machine Learning, Object Oriented Programming, Computer Networks, Operating Systems, Compiler Design, UNIX.

Outstanding & Best Outgoing Student (2021)

Highest Honor for the College and the Computer Science Department for leadership and academic excellence.

Work & Research

Research Assistantships

Aug 2024 – Present Research Assistant | HUMANS LAB, USC Information Sciences Institute (ISI) Supervisors: Prof. Luca Luceri and Prof. Emilio Ferrara
  • TikTok Data Analysis and Topic Modeling: Investigated the thematic structure of political discourse on TikTok in a multimodal dataset of over 1 million entries. Utilized advanced NLP (BERTopic) to discover and model 10 latent topics of communication. Analyzed user engagement and sentiment patterns to understand the mechanisms of information propagation.
  • Social Media Media-Pipeline: Created a comprehensive pipeline for downloading and organizing Twitter media content. Developed scripts for TikTok comment scraping and reposted video retrieval, collecting over a million comments. Optimized Twitter scraping scripts, resolving bugs, and enhancing performance.
Aug 2024 – May 2025 Research Assistant | Lerman Lab, USC Information Sciences Institute (ISI) Supervisor: Prof. Kristina Lerman
  • Digital Mental Health Research: Researched the dissemination of harmful digital content related to muscle dysmorphia ('Bigorexia'). Developed computational taxonomies to model and identify harmful communication patterns at scale. Contributed to ML classifiers to understand the linguistic and social features of this content.
August 2023 – May 2024 Teaching Assistant / Graduate Student Course Producer | University of Southern California Supervisor: Prof. Saty Ragavachari
  • Assisted in managing the Database Systems course under Prof. Saty Ragavachari. Conducted office hours, crafted course materials, and addressed student inquiries. Served as Course Producer for the Database Systems course for two consecutive semesters.
Jan 2023 – Present

Software Developer

Center for Homelessness Research, USC

  • Led full-stack development of Android apps (Java/Kotlin) and responsive web portals (Angular), integrating secure REST APIs.
  • Implemented GIS spatial analysis with ArcGIS SDK and GeoJSON pipelines to visualize and optimize datapoints on homelessness patterns.
  • Automated data ingestion and batch processing using Python scripts, reducing manual ETL time by 60%.
Aug 2021 – Nov 2022

Website Developer & Maintenance Engineer

Alphonso Consultancy | India

  • Built and maintained ERP & website end-to-end: responsive UIs (HTML/CSS/JS), PHP/MySQL back-ends, and on-page SEO that boosted organic traffic.
  • Prototyped blockchain and ML solutions: Ethereum/Hyperledger DApps for supply-chain tracking and Python-based chatbots sharpened smart-contract and data-science skills.

Publications & Patents

Research & Development

Augmenting LLMs

Integrated DRAGON with LLaMA-7b-Chat

  • Integrated DRAGON (Dense Retriever) with LLaMA-7b-Chat to reduce hallucinations in large language models.
  • Employed dense retrieval techniques to ground model responses in accurate evidence from datasets like TriviaQA.
  • Achieved up to 59% improvement in answer accuracy compared to baseline generation.
  • View Project Document
Medical Imaging

Brain Tumor Detection from MRI Images

  • Developed a CNN model for early detection of brain tumors from MRI scans.
  • Implemented robust training pipelines to ensure high sensitivity and specificity in automated diagnostics.
  • Achieved 89% test accuracy and 87.21% validation accuracy in real-world scan tests.
Computer Vision

Deep Learning Photo Caption Generator

  • Created a system using VGG-16 for visual feature extraction and LSTM for sequence prediction.
  • Engineered the encoder-decoder architecture to translate visual semantics into natural language descriptions.
  • Generated descriptive image captions with high BLEU scores across benchmark datasets.
  • View Project Document
ML Honors

Detection & Visualization of Bone Abnormalities

  • Executed an ML project using TensorFlow and CNN to identify irregularities on X-ray images.
  • Implemented heatmaps and visualization tools to assist clinical professionals in abnormality identification.
  • The Project was honored as the top in the department and received university funding for further exploration.
  • View Project Document
NLP & Analytics

Aspect-Based Sentiment Analysis

  • Built a granular sentiment analysis engine to extract specific product features (aspects) from mobile reviews.
  • Utilized NLTK and Scikit-learn to classify sentiments per feature, enabling detailed consumer feedback loops.
  • View Project Analysis

Leadership & Involvement

2022 – Present

Team Lead | Greater Los Angeles Homeless Count

Led the DemoGraphic Count initiative, coordinating large-scale data collection efforts across Los Angeles to support regional housing and health equity research.

2017 – 2021

NSS | Better India Mission

Implemented waste management solutions in villages and launched the 'Piggy Bank' project to support homeless individuals and people living with HIV.

Feb 2020

Lead Organizer | HackRidea

Orchestrated a 24-hour National Level Hackathon. Managed logistics for 50+ teams and coordinated industry panels.

Humanitarian Trip

Tijuana, Mexico

November 2024: Collaborated with Esperanza to build houses for homeless people, providing hands-on construction and community support.

Humanitarian Trip

Colombia

March 2024: Engaged with indigenous Wayuu communities; assisted in building their first sustainable water tank for the village.

Skills & Technologies

AI & Data Intelligence

Large Language Models (LLM)TensorFlowPyTorchKerasScikit-learnOpenCVHugging FaceNLTKMachine Learning AlgorithmsApache SparkData Structures & Algorithms

Engineering & Databases

PythonJava (Core)C/C++JavaScriptTypeScriptNode.jsABAPHTML5CSS3SQLNoSQLMongoDBPostgreSQLFirebaseCockroachDB

Infrastructure, Cloud & Tools

AWSAzureGoogle Cloud Platform (GCP)DockerKubernetesJenkinsGitUNIXSAPREST APIsMicroservicesArcGISSwifterBootstrapRender

Honors & Awards

National Overseas Scholarship

Awarded by the Karnataka State Government to support distinguished postgraduate research abroad (April 2024).

Representative of India

Represented the nation at the Asian Level YCS Conference in Indonesia (July 2019).

Top Data Collector

USC Suzanne Dworak-Peck School of Social Work (May 2023).

Best Project of University

NMAM Institute of Technology (March 2021).

Best Outgoing Student

Honored at both the College and CS Department level (April 2021).

Sakura Science Exchange

Selected by Japan Science & Technology Agency for research at Ritsumeikan University (2020).

Outstanding Achievement Award

Highest recognition for holistic excellence, academic rigor, and leadership at NMAMIT (April 2021).