Hi, I'm Arnav Sethi

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Software engineering student passionate about algorithms, system design, and building high-performance software systems.

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Automating life so I can nap more.- Arnav

I'm a Software Engineering (Honours) student at Monash University with a strong interest in building scalable, real-world systems across mobile, cloud, embedded, and data-driven applications. My work spans full-stack web development, IoT telemetry systems, machine learning pipelines, and production-ready mobile applications.

I currently serve as Software Team Lead at Monash Human Power, where I oversee architecture, development, and deployment across firmware, backend, and dashboard systems. Through this role, I've gained hands-on experience in system design, real-time data processing, cloud deployment, and leading multidisciplinary engineering teams.

Beyond leadership, I enjoy building products end-to-end — from ideation and architecture to deployment and performance optimisation. I've developed AI-powered applications, communication protocol benchmarking systems, and mobile apps integrated with cloud infrastructure and LLM-based services.

My technical interests lie in distributed systems, cloud infrastructure, DevOps, and performance-oriented engineering. I'm particularly driven by solving complex system-level problems and understanding the trade-offs behind scalable software design.

Outside of engineering, I've held leadership roles including Head Boy at Delhi Public School and continue to stay involved in university sport and community initiatives.

I'm always open to collaborating on impactful engineering projects and exploring opportunities where I can contribute to building robust, scalable systems.

Languages

PythonC++JavaJavaScriptTypeScriptCSQLBashKotlinHTML/CSS

Frontend & Mobile

Building user-facing experiences

ReactNext.jsReact NativeExpoFlutterAndroid (Kotlin/Java)

Backend & APIs

Services, integration, and reliability

Node.jsExpress.jsFlaskMeteorREST APIsWebSockets

Databases

Schema design and performance

PostgreSQLMySQLMongoDBSchema DesignQuery Optimisation

Cloud & DevOps

Deployment and automation

Google Cloud PlatformAWSDockerKubernetesTerraformCI/CD (GitHub Actions)Git

IoT & Systems

Real-time data and device integration

ESP32Raspberry PiEmbedded C++MQTTCAN BusI2CSPIBLESensor Integration

Data & Machine Learning

Pipelines, modelling, evaluation

NumPyPandasScikit-learnFeature EngineeringModel EvaluationHyperparameter TuningCNNsBayesian Networks

Core CS Foundations

Principles behind robust systems

Data Structures & AlgorithmsObject-Oriented DesignOperating SystemsComputer ArchitectureSystem Design

COMMUNICATION PROTOCOL BENCHMARKING WEB APP[Live Site]

Sep 2025 - Nov 2025; Team Size: 1; Role: N/A
Technical Skills: Web Development, MongoDB, protocol clients (MQTT/HTTP/WebSocket/CoAP), data visualization tools UI/UX components

Built a full-stack application that benchmarks MQTT, HTTP, WebSocket, and CoAP under configurable network conditions.
Implemented a Node.js testing engine to measure latency, jitter, throughput, and reliability, and a Meteor + React dashboard
to visualize results and generate weighted 'fitness scores' based on user - defined priorities.

FINDING NIBBLES - AI-POWERED FOOD DISCOVERY APP (Under Development)[Images][Documentation][Live Site]

Feb 2025 - Current; Team Size: 14; Role: Software Architect
Technical Skills: Meteor.js, JavaScript, Google Places API, Maps JavaScript API, AI, user experience

Architected an AI-driven Meteor based web app to suggest what and where to eat based on user location, preferences, and dietary needs.
Integrated Google Places & Maps APIs for real-time, location-aware food recommendations.
Built features like cuisine-based dice rolls and personalized dietary filters (e.g., vegan, gluten-free).
Designed an AI engine to analyze menus and reviews for smart, dish-level suggestions.

ANDROID APP FOR TRIKE HPV SENSOR INTEGRATION[GitHub][Images]

Jul 2024 - Current; Team Size: N/A; Role: Software Developer - Monash Human Power
Technical Skills: Android Development, Java, Bluetooth, MQTT, Sensor Integration

Developed an Android app that fused internal and external sensor data (e.g., power, heart rate, GPS) for real-time performance tracking, applying analytical thinking and user-centric design principles.
Implemented live metrics display, interactive maps, and MQTT-based cloud sync, enhancing usability and insight delivery for remote monitoring dashboards.
Tested with real hardware to ensure robust data flow, seamless Bluetooth pairing, and effective visual feedback for the rider.

PROJECT MANAGEMENT APPLICATION FOR SCRUM TEAMS[GitHub][Images][Documentation]

Jul 2024 - Oct 2024; Team Size: 5; Role: N/A
Technical Skills: Web Development, User Authentication, Scrum Workflow, UI/UX components

Created a web-based platform to support agile project management for Scrum-based development teams.
Implemented modules for project creation, sprint planning, backlog tracking, and daily scrum minute logging with support for both Kanban and list views.
Managed sprint cycles and backlog grooming for the 5-member team, aligning development priorities with user needs—exercising practical project management and communication skills.
Integrated automated progress tracking and visual sprint reports based on story points.

SoulStride - Mobile App

Dec 2025 - Current; Team Size: 1; Role: N/A
Technical Skills: Expo (React Native), Mobile UI navigation and state management, Local data persistence, Content database design and search, Routine scheduling logic, Asynchronous workflows and API integration, LLM-based conversational features

Built an Expo (React Native) application for structured lesson-based learning and prayer routine management,
featuring searchable content databases, navigation across multiple screens, persistent state, and an integrated
LLM - powered assistant for text - grounded Q& A.

ECG SIGNAL PROCESSING AND ANOMALY DETECTION[GitHub][Images][Documentation]

Dec 2024 - Feb 2025; Team Size: 4; Role: N/A
Technical Skills: Python, Scikit-learn, XGBoost, SMOTE, Pandas, NumPy

Designed a robust machine learning pipeline for biomedical signal analysis; applied quantitative analysis and creative problem-solving to identify cardiac anomalies from raw ECG data.
Presented project insights and potential clinical applications, demonstrating strong communication skills and a user-impact mindset.

SENSOR INTEGRATION & CANBUS COMMUNICATION USING ESP32[GitHub]

Jul 2024 - Current; Team Size: N/A; Role: Software Developer - Monash Human Power
Technical Skills: ESP32, C++, CANbus, Sensor Register Maps, Microcontroller Programming, Industry Research

Programmed the ESP32 to interface with multiple wired sensors (e.g., barometer, gyroscope) by interpreting sensor register maps and extracting sensor-specific data.
Standardized sensor data format for CANbus communication with Raspberry Pi display units.
Collaborated in an interdisciplinary student engineering team focused on building cutting-edge human-powered vehicles (HPVs).

SANTORINI - STRATEGY BOARD GAME[GitHub][Images][Documentation]

Feb 2025 - June 2025; Team Size: 3; Role: N/A
Technical Skills: Java, JavaSwing AWT, Object-Oriented Programming, Design Patterns, Game Logic, UI Design

Developed a digital version of Santorini with full game mechanics, and rules in Java using javaSwing for GUI.
Modeled game elements using OOP; applied MVC and Singleton patterns for clean, scalable architecture.
Implemented game engine with God powers, rule enforcement, and dynamic player interactions.
Designed an intuitive UI to visualize complex moves and enhance gameplay experience.

PACMAN INTELLIGENT AGENTS - AI & REINFORCEMENT LEARNING

July 2025 - Nov 2025; Team Size: 1; Role: N/A
Technical Skills: A* Search, Alpha-Beta Pruning, Markov Decision Processes (MDPs), Value Iteration, Q-learning (Reinforcement Learning), Multilayer Perceptron (MLP, Feature Engineering & State Representation, Hyperparameter Tuning & Model Comparison

Designed and implemented multiple AI agents for Pacman across diverse environments
using MDPs and Value Iteration, Reinforcement Learning(Q - learning), neural networks(MLP),
adversarial search(Alpha - Beta), and informed search(A *).
Conducted systematic model evaluation and analysis, comparing performance across layouts, ghost
behaviours, and reward structures; documented parameter tuning, trade- offs, alternative approaches,
and quantitative metrics in scientific reports.

NEWSMONKEY - REAL-TIME NEWS AGGREGATOR[GitHub][Images]

Dec 2024; Team Size: Solo Project; Role: N/A
Technical Skills: React.js, NewsAPI, JavaScript, CSS, Bootstrap

Built a responsive single-page app to fetch and display live news across categories using NewsAPI.
Designed scalable UI with React functional components, hooks, and modular, mobile-first code.
Added infinite scrolling, category filters, and loading states for a smooth user experience.

Activities

Head BoyDelhi Public School MRD, New Delhi
Represented the student body; led assemblies, events, and student council across cultural, literary, and tech domains. Hosted dignitaries, led inter-school delegations, championed student welfare.
Vice Head BoyDelhi Public School MRD
Leadership role in the year prior to Head Boy.
Virtual Young Leadership ProgrammeYoung Leadership Club, DPS Mathura Road
Intensive program with PhDs, career consultants, and life coaches. 1st place in Group Discussion and Surprise Event at convocation.
EduMate AmbassadorSchool representation
Represented the school in educational initiatives and student panels.
Debating & Public SpeakingInterschool events
Debates, group discussions, youth parliaments, MUNs, essay competitions; top rankings at various events.
Dramatics & TheatreHigh school dramatics team
Stage plays, improvisation, comedy; multiple Best Actor and team awards.
CricketMonash & school
Monash University Varsity Cricket Team, Monash University Cricket Club; High School Vice Captain.
OlympiadsNational & international
Recognition in Math, English, and General Knowledge Olympiads.