Research-oriented Machine Learning & full-stack engineer specializing in Computational Social Science, NLP, and building adaptive, human-centered AI systems. Skilled in architecting robust Python/Node microservices, fine-tuning and prompting Large Language Models, and applying multimodal analysis to investigate collective behavior and online-safety ecosystems. Experienced in transforming messy, high-volume unstructured data into production-grade, scalable products. Core focus areas: auditing algorithmic influence, detecting digital harm at scale, and engineering resilience against misinformation.
Relevant Coursework: Applied Natural Language Processing, Multimedia, Data Structures & Algorithms, Database Systems, Web Technologies (Cloud).
Honors: Recipient of the Order of the Laurel and the Palm (2025) — USC's highest honor awarded to graduating students for exceptional leadership and scholarship.
Relevant Coursework: Machine Learning, Object-Oriented Programming, Computer Networks, Operating Systems, Compiler Design.
Honors: Outstanding Student of the College & Best Outgoing Student, CS Department; Student President (2017–2021).
Languages & Databases: Python, Java, C/C++, JavaScript, TypeScript, Node.js, HTML5, CSS3, SQL, NoSQL, MongoDB, PostgreSQL, Firebase, CockroachDB.
Machine Learning & AI: Large Language Models (LLaMA, Gemini, GPT-4o), BERT, BERTopic, UMAP, VADER, TensorFlow, PyTorch, Keras, Scikit-learn, Hugging Face, NLTK, OpenCV.
Data Engineering & Cloud: Apache Spark, Pandas, Plotly/Dash, Seaborn, AWS, Google Cloud Platform (GCP), Azure, Docker, Kubernetes, Git, Jenkins, CI/CD, UNIX.
Web & Frameworks: React.js, Flask, Django, Express.js, Redux, REST APIs, Microservices, Bootstrap, Pydantic, ArcGIS/GeoJSON, Android Studio.
Augmenting LLMs using Dense Retrievers (USC Applied NLP): Integrated the DRAGON dense retriever with LLaMA-7b-Chat and N-gram context segmentation to reduce QA hallucinations, achieving up to 59% accuracy improvement on TriviaQA.
Deep Learning Photo Caption Generator: Built a VGG-16 + LSTM encoder–decoder on the Flickr8k dataset and deployed a Node.js caption web server, generating contextually accurate captions with high BLEU scores.
Bone Abnormality Detection: Executed an ML project using DenseNet/ResNet on the MURA dataset (40,000+ radiographs) with SMOOTHGRAD visualization and 5-fold cross-validation; honored as the top departmental project and university-funded.
Brain Tumor Detection: Developed a CNN model for MRI images, benchmarking AlexNet/ResNet/VGG-16 against a custom architecture; achieved 89% test and 87.21% validation accuracy.
Aspect-Based Sentiment Analysis: Built a feature-level sentiment engine (NLTK, Scikit-learn) to extract product aspects from mobile reviews and classify sentiment per feature.
Under Review (2026): "Beyond Binary Detection: A Multi-Dimensional Taxonomy of Cancer Misinformation on Reddit" — an expert-annotated, multi-dimensional framework using LLMs to characterize online health misinformation across ~134K Reddit posts.
Publications: Co-author, WWW (ACM) 2025: "Tracking the 2024 US Presidential Election Chatter on TikTok"; co-author, CRC Press book chapter (2021): "Identification & Classification of Paddy Crop Diseases using Big Data ML"; co-author, IEEE (2021): "Deep Learning Photograph Caption Generator".
Patents (Indian Patent Office, Sept 2024): "E-Commerce Product Comparison System" & "Automated Extraction and Summarization System".
Teaching Assistant & Course Producer, Database Systems (USC): Assisted Prof. Saty Ragavachari for two semesters (Aug 2023 – May 2024) — managed course logistics, conducted office hours, and crafted materials supporting hundreds of students.
Team Lead, Greater LA Homeless Count (2022–Present): Coordinated large-scale data collection and volunteer training across Los Angeles to support regional housing and health-equity research.
Lead Organizer, HackRidea (2020): Orchestrated a 24-hour national-level hackathon, managing logistics for 50+ teams and coordinating industry panels.
International Service (2024): Collaborated with Esperanza to build housing in Tijuana, Mexico, and assisted in building water infrastructure for indigenous Wayuu communities in Colombia.
National Service Scheme (NSS), India (2017–2021): Led rural waste-management solutions and social-support projects.