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Prajit Rahul Selvam

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About Me

I am a Master’s student in Computer Science at the University of Southern California with a strong interest in building intelligent and scalable software systems. My work lies at the intersection of software engineering, machine learning, and applied AI. I enjoy designing systems that are both technically robust and practically useful, turning complex ideas into real-world solutions.

I have experience across full-stack development and AI engineering. I have developed machine learning models for domains such as automotive, retail, and logistics, built LLM-powered pipelines for natural language query generation, and worked on AI-driven monitoring and analytics systems. On the engineering side, I have designed backend services using Spring Boot and Node.js, built responsive frontends with React, Flutter and Angular, and developed dashboards and platforms that support data-driven decision-making.

Beyond technical work, I actively contribute to academic and technical communities. At USC, I have served as a Teaching Assistant, supporting students in big data and analytics coursework through hands-on guidance and mentoring. During my time at Anna University, I took on leadership roles including Director of the Computer Society of Anna University, Treasurer of the National Service Scheme, and Workshop Organizer at CEG Tech Forum, where I helped organize technical workshops, collaborative events, and student-led initiatives. These experiences strengthened my ability to communicate complex ideas clearly, mentor peers, and coordinate large-scale programs.

I am driven by curiosity, ownership, and continuous learning. Whether building AI systems, architecting scalable applications, mentoring students, or leading community initiatives, I enjoy solving challenging problems and creating solutions that make a meaningful impact.

Experience

University of Southern California

Teaching Assistant, CMGT 564: Methodological Fundamentals of Big Data in Communication

  • Led instructional sessions in big data analytics, delivering lectures and hands-on labs on SQL, Python, Excel, and automated data workflows using n8n.
  • Guided 45+ students through hands-on sessions on segmentation, clustering, data analysis and applied AI analytics.

Yakria Tech

Software Development Engineering Intern

  • Architected a hybrid notification system, ensuring reliable communication across 3000+ weekly interactions.
  • Developed analytical dashboard (Flutter, Node.js) lowered reporting latency by 35% and saving 8+ staff hours weekly.
  • Built interactive visualizations and APIs to monitor KPIs and customer trends, accelerating decision-making by 40%.
  • Integrated Graph API for in-app publishing and engagement tracking on Instagram, shortening handling time by 50%.
  • Streamlined catalog and user management for 200+ users, enabling reorganization of 300+ items.

Indium Software

Data and AI Intern

  • Constructed a multi-stage LLM pipeline to convert natural language into PromQL queries.
  • Orchestrated custom MCP servers for Postgres and Prometheus, integrating with Supabase, Grafana, and Datadog into an LLM-driven conversational framework for cross-platform monitoring.

Melady Lab, University of Southern California

Application Developer

  • Independently developed 90% of the Melady Lab website, leveraging Hugo framework, Go templating, and YAML.
  • Created dedicated pages for news, people, publications and gallery, providing a comprehensive view of lab.

Blue Yonder

Software Development Engineering

  • Delivered over 10 preconfigured machine learning models for regression, classification, and ensembling tasks across the automotive, retail, and logistics sectors, utilizing datasets with up to 3.6 million rows.
  • Utilized batch processing techniques to ensure efficient background processing, reducing user interaction time by 40% during the machine learning pipeline.
  • Converted data to simpler formats, reducing the pod size by up to 50%, optimizing memory usage for larger datasets.
  • Developed a regression model with 3 million rows using Gradient Boosting, achieving 83% R-squared accuracy for predicting used car prices.
  • Created a Random Forest classifier with 86% accuracy to analyze 3.6 million customer reviews, enhancing retail client insights into customer sentiments.
  • Built and ensembled models with 81% accuracy to predict on-time shipment arrivals, improving logistics efficiency.

Thorogood Associates

Data and Analytics Consultant Intern

  • Consolidated numerous Power BI reports into a single front-end application, reducing customers' data analysis time by 30%.
  • Streamlined navigation and filtering processes, allowing users to save and reload filters, share bookmarks, and collaborate effectively, saving 15-20% reporting time.
  • Developed a customizable Collaboration Suite module for managing business metrics, improving flexibility and personalization for clients.
  • Designed a side navbar and bubble-based report display, enhancing user experience and accessibility to key sales indicators.

Education

University of Southern California

Aug 2024 - May 2026

Master of Science in Computer Science (GPA: 3.95/4.0)

College Of Engineering Guindy, Anna University

Aug 2019 - June 2024

Integrated Master of Science in Computer Science (Ranked 2nd in the Degree)

Projects

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Lightweight Multilingual Translation for Edge Devices (Capstone Project – Applied Natural Language Processing) [PyTorch, LoRA, Distillation]

Devised German, French, and Italian to English translation models using LoRA, decreased trainable parameters by 95%. Unified models through distillation and further optimized with quantization and pruning. Achieved 90% of base model performance with a 60% reduction in size, facilitating efficient multilingual translation.

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Transformer-Based Stock Market Analysis: Fusing Time Series with Textual Information

Developed a multi-phase framework integrating time series data, news sentiment, and economic indicators using transformer models to enhance stock market trend prediction, achieving improved short-term forecast accuracy.

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Online Library (Initiative by the College and Led the Initiative until passing out)

Designed an online library platform for Anna University, featuring a dynamic Admin Dashboard to monitor critical metrics such as book additions, student activity, and department-specific resource usage. Integrated CSV-based batch uploads and streamlined student data management with flexible sorting capabilities. Includes interactive visualizations (genre-based pie charts, department-wise bar charts) to analyze resource engagement. The project has been transitioned to juniors for ongoing development and refinement.

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License Plate Recognition (Funded by college and represented college at UNESCO-patronized international Fest)

Implemented a VGG16-based model to recognize license plates, sending detected coordinates to an OCR system for character extraction, achieving 86.6% accuracy. Led data preprocessing and integrated OCR model with database for real-time vehicle tracking. Selected and configured the camera for optimal performance.

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Text Summarizer

Django-based website applying BERT to condense lengthy paragraphs into specified length summaries.

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Blood Donor Finder

Instrumental in project ideation and documented specification and developed automatic email sender, database integration, chatbot, login and sign up pages, and sorting of data by city.

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Ecommerce Application

Built with a Spring Boot backend, JWT authentication, and a React frontend using Redux for state management.

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Community Engagement

Skills

Languages

Frameworks & Tools

AI & Machine Learning

Databases & Cloud

Certificates

Get in Touch

✉️ pselvam@usc.edu

📍Los Angeles, CA