Darssan Eswaramoorthi

Engineer · Community Builder

Computer engineer and published AI researcher working across data systems, multimodal AI, edge computing, and real-world sensing.

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Darssan Eswaramoorthi

Selected work

Research systems and deployed products. Full technical detail is in the CV and linked papers.

Parkeze2024 to present

Smart-city parking systems

Designed data and backend architecture for IoT and LoRaWAN sensor ingestion, real-time parking analytics, and web and mobile clients. Built the USC pilot dashboard from occupancy events collected between October 2025 and January 2026.

Parkeze website USC five-sensor case study
Parkeze platform flowchart showing sensors, gateway, cloud, analytics, dashboard, driver app, payments, and compliance
Parkeze platform flowchart
USC Golden Spur pilot sensor locations
Five sensor spaces at the USC pilot
Parkeze sensors installed in parking spaces
Installed space-level sensors

Research and engineering experience

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Dec 2024 to presentParkeze LLC

Founder and Platform Engineer

  • Designed the data and backend architecture connecting web and mobile clients, analytics, and IoT and LoRaWAN sensor ingestion for a university parking pilot.
  • Research metadata extraction at the edge to convert camera, road, and parking observations into compact updates that can be transmitted over constrained LoRaWAN links for live user experiences.
  • Built the USC pilot analytics dashboard and led contributors across backend, AI, mobile, embedded, and cloud systems.
Jan 2024 to presentAI Institute of South Carolina

Research Intern, Generative, Multimodal and Agentic AI

  • Conducted applied AI research in multimodal AI, AI alignment, RAG systems, and agentic intelligence under the Intelligent, Robust, and Trustworthy AI initiative led by Dr. Amit Sheth.
  • Co-authored research published across AAAI, IEEE, AAMAS, ACM TOCH, and ACM Health, with applications in healthcare, manufacturing, and intelligent decision support.
  • Served as the primary website manager of aiisc.ai. Animated and designed demonstration videos for major international conference submissions, as well as AI educational content for high school students in underrepresented communities.
  • Built AI systems including SmartPilot, Pic2Prep, and CANDI, developing multimodal pipelines, retrieval frameworks, benchmarking methodologies, and domain-specific knowledge systems.
  • Curated large-scale datasets, evaluated LLM reasoning and hallucination, and collaborated with interdisciplinary teams to translate research into deployable AI solutions.
  • Presented research findings at international IEEE and AAAI conferences, contributed to grant-supported projects, and helped advance real-world applications of trustworthy and human-centered AI.
Aug 2025 to May 2026USC Molinaroli College of Engineering and Computing

Undergraduate Research Assistant

  • Developed an agentic Edge AI pipeline on PYNQ and Raspberry Pi 5 to capture real-time images from an optical camera monitoring a metal 3D-printing process and detect pores and anomalies.
  • Designed and trained computer vision models for manufacturing defects including pores and surface irregularities during printing.
  • Explored on-device deployment and acceleration of vision models for real-time defect detection in additive manufacturing.
May 2025 to Aug 2025USC Molinaroli College of Engineering and Computing

McNair Junior Fellow

  • Collaborated on FPGA-based symbolic accelerators using Vivado and Vitis for hardware testing and performance evaluation, and co-authored ML-Based Automata Simplification for Symbolic Accelerators.
  • Contributed to AutoSlim, a machine-learning framework that reduces automata graph complexity and improves FPGA efficiency.
  • Completed an independent project on compact neurosymbolic AI for on-chip Trojan detection in edge controllers and presented the findings at the 2025 Summer Research Symposium.
Jan 2023 to Dec 2023USC Molinaroli College of Engineering and Computing

UG Developer Assistant

  • Developed an Apple Watch app to record 3D accelerometer data for human activity recognition.
  • Used a data pipeline to label and preprocess activity data, focusing on smoking-related gestures.
  • Applied k-means clustering and machine-learning methods to identify activity patterns and support real-time smoking detection.

Publications

Publications and preprints across multimodal AI, manufacturing, healthcare, education, and symbolic acceleration.

8 works34 citations3 h-index
2026ACM TOCHExploring the Potential of Large Language Models for Assisting with Mental Health Diagnostic Assessments18 citations2025IEEE CAISmartPilot: A Multiagent Copilot for Adaptive and Intelligent Manufacturing8 citations2025AAMASSmartPilot: Agent-Based Copilot for Intelligent Manufacturing6 citations2025AAAIPic2Prep: A Multimodal Conversational Agent for Cooking Assistance2 citations2026arXivMachine Learning-Based Graph Simplification for Symbolic AcceleratorsPreprint2026arXivCANDI: Contextual Alignment for Niche Domains Question AnsweringPreprint2026EAAIPAL: Personal Adaptive LearnerPublication2025arXivML-Based Automata Simplification for Symbolic AcceleratorsPreprint
Google Scholar

Leadership and community

TEDxCongaree Vista website and talks

TEDxCongaree Vista

Executive Producer and Co-organizer. Supported content, speaker materials, web, partnerships, and production for 16 speakers and more than 170 attendees.

Website Instagram
PalmettoHacks participants and organizers

GridStorm Hacks and PalmettoHacks

Founder and lead organizer of technical programs with Dominion Energy, Microsoft, Capgemini, MLH, and SCDHHS.

Inspire
Columbia

Inspire Columbia

Co-founder and President of a youth-powered 501(c)(3) supporting community events and leadership programs in Columbia.

Website Instagram
Kappa Theta Pi at the University of South Carolina

Kappa Theta Pi

Co-founded USC's first technology fraternity to improve professional, technical, and networking opportunities for computing majors.

Website LinkedIn Instagram

Education

Expected May 2027 · GPA 4.0

M.S. Computer Engineering

University of South Carolina

May 2026 · GPA 3.6

B.S.E. Computer Engineering

University of South Carolina

Recognition

  • IEEE CAI 2025 Best Paper Award
  • Major League Hacking 2026 Hackcon Scholarship Award
  • 2026 Outstanding Senior Award
  • Bridge Builder Award
  • John H. Fain Scholar, 2024 to 2026
  • South Carolina Internship Scholarship, Spring 2026

Technical focus

Python, SQL, JavaScript and TypeScript, Rust, Go, PostgreSQL, Neo4j, SQLite, Redis, PyTorch, TensorFlow, FastAPI, Next.js, React, computer vision, LLMs, RAG, knowledge graphs, Raspberry Pi, FPGA, and LoRaWAN.

Certifications

Claude Code 101 · Introduction to Model Context Protocol · AI Fluency: Framework and Foundations · IBM Z Xplore Concepts · IBM zSystems Cybersecurity Insights

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