Yash H. Barve
Software Engineer
I'm a fifth-year Computer Science student at the University of Waterloo and a Business student at Wilfrid Laurier University. Since starting my development journey in 2021, I have grown especially passionate about system design and architecture. I care about distributed systems thinking, reliability, and using the right design patterns to keep codebases clean as they scale.
Having completed my final work term at Nokia as a Software Engineer, I am now seeking new-grad software engineering roles.
Beyond tech, I'm an avid reader and a huge Formula 1 fan, delusionally cheering for Scuderia Ferrari and Charles Leclerc every race weekend.
Having completed my final work term at Nokia as a Software Engineer, I am now seeking new-grad software engineering roles.
Beyond tech, I'm an avid reader and a huge Formula 1 fan, delusionally cheering for Scuderia Ferrari and Charles Leclerc every race weekend.
EXPERIENCE
Nokia
Software Engineering Intern
UW Product Management Club
Engineering Director
AutoTrader.ca
Software Engineering Intern
Petrovision International LLC
Software Development Intern
Lazaridis School of Business and Economics
Data Insights Specialist Intern
UW Data Science Club
Web Designer Executive
PROJECTS
WatDFS
Distributed File System 2026
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Built a distributed file system using C++ and FUSE.
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Implements network transparency, allowing remote files to be accessed and modified via standard Linux system calls.
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Implements network transparency, allowing remote files to be accessed and modified via standard Linux system calls.
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Engineered a custom RPC (Remote Procedure Call) layer to handle low-latency file transfers and metadata operations.
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Designed for fault tolerance, ensuring data integrity during network timeouts and server-side concurrency challenges.
c++
distributed systems
fuse
rpc
linux
concurrency
sockets
file systems
cache consistency
make/cmake
Check it out:
Documentation
Fit4Me
Personalized Fitness Tracking App 2025
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Full-stack Android fitness app (team project) built with Kotlin, Jetpack Compose and a Node.js/Express backend with PostgreSQL.
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Delivers personalized workout planning and session tracking with a focus on a smooth, user-centric experience.
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Includes real-time chat using Socket.IO alongside REST APIs for core app functionality.
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Implements intelligent matchmaking based on user goals, availability, and experience level.
·
In active development with an emphasis on frontend polish and backend performance.
android
jetpack compose
kotlin
node.js
express.js
typescript
postgresql
prisma
rest apis
socket.io
jwt
websockets
Portolio
Your Online Photos Portfolio 2025
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Modern MERN-stack photo gallery app for uploading and showcasing images.
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Implements direct client-to-ImageKit uploads for fast, scalable media handling.
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Uses JWT-based authentication for secure access and user sessions.
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Built a responsive gallery layout with uniform image sizing for a clean UI.
react.js
javascript
tailwindcss
node.js
express.js
mongodb
imagekit
jwt
Check it out:
GitHub
Deep Features for Interactive Segmentation
Image Segmentation Tool 2025
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Interactive image segmentation tool built as a university capstone project using PyTorch and a pre-trained ResNet-50.
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Extracts deep convolutional features to segment objects in complex images beyond traditional RGB-based approaches.
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Provides a Python GUI for user-guided foreground/background selection to steer segmentation.
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Implements max-flow/min-cut graph cut algorithms for robust, near real-time object segmentation.
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Performs well in challenging scenarios with color ambiguity and noisy backgrounds.
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This project was built for the CS484 course at the University of Waterloo.
python
pytorch
resnet-50
computer vision
graph cuts
max-flow min-cut
numpy
matplotlib
scikit-image
python gui
Check it out:
GitHub
Crop Yield Prediction & Risk Mitigation
Agricultural Risk Analysis Framework 2025
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Built a machine learning framework to predict crop yields and assess agricultural risk using real-world climate and farming inputs (rainfall, temperature, pesticide use, crop type).
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Trained interpretable yield models using Random Forest and Lasso Regression for feature selection and prediction.
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Engineered temporal features and implemented an LSTM model for sequential yield analysis.
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Designed a dynamic risk scoring system to support resource allocation and deliver actionable insights for farmers.
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Collaborated as part of a group project focused on sustainable, data-driven decision-making.
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This project was built for the BU425 course at the Wilfrid Laurier University.
python
pandas
scikit-learn
random forest
lasso regression
feature engineering
tensorflow
lstm
rnn
data visualization
Check it out:
GitHub
Scriptsync
Captioning Tool for Videos 2024
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Built an end-to-end captioning tool that generates subtitles from uploaded videos and lets users edit text, timing, and accuracy.
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Provides caption styling controls (font size, text color, outline) to customize the final look.
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Burns captions into the video using ffmpeg (via WebAssembly) for a fully client-side editing experience.
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Supports exporting/downloading the finalized captioned video for sharing across platforms.
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Uses AWS S3 for storage and AWS Transcribe for automatic speech-to-text.
next.js
typescript
tailwindcss
aws s3
aws transcribe
webassembly
ffmpeg
ffmpeg.wasm
Check it out:
YouTube
WatDFS
Distributed File System
Fit4Me
Personalized Fitness Tracking App
Portolio
Your Online Photos Portfolio
Deep Features for Interactive Segmentation
Image Segmentation Tool
Crop Yield Prediction & Risk Mitigation
Agricultural Risk Analysis Framework
Scriptsync
Captioning Tool for Videos
TECHNICAL SKILLS & TOOLS
LANGUAGES
C
C++
Bash
Go
Python
HTML
CSS
Javascript
Typescript
SQL
Kotlin
FRONTEND
React.js
Next.js
TailwindCSS
Bootstrap
BACKEND
REST APIs
Node.js
Express.js
FastAPI (Python)
Hono
Websockets
Socket.io
Auth (JWT)
Zod
DATABASE
PostgreSQL
MongoDB
MySQL
Firebase
TOOLS
Prisma ORM
Git
Docker
Kubernetes
npm
WebAssembly
Jest
Jira
Tableau
Figma
CLOUD
AWS
DEVOPS
Jenkins
Make
GitHub Actions
Railway
Vercel
Heroku
AI & ML
OpenAI API
Gemini SDK
Codex
Claude Code
GitHub Copilot
Neural Nets
CNNs
RNNs
Computational Vision
Tensorflow
PyTorch
Numpy
Pandas
Matplotlib
CORE CS
Object Oriented Programming
Data Structures
Algorithms
Time & Space Complexity Analysis
Operating Systems
Concurrency
Relational Databases
User Interfaces
Software Design Patterns
Software Architecture Styles
LANGUAGES
C
C++
Bash
Go
Python
HTML
CSS
Javascript
Typescript
SQL
Kotlin
FRONTEND
React.js
Next.js
TailwindCSS
Bootstrap
BACKEND
REST APIs
Node.js
Express.js
FastAPI (Python)
Hono
Websockets
Socket.io
Auth (JWT)
Zod
DATABASE
PostgreSQL
MongoDB
MySQL
Firebase
TOOLS
Prisma ORM
Git
Docker
Kubernetes
npm
WebAssembly
Jest
Jira
Tableau
Figma
CLOUD
AWS
DEVOPS
Jenkins
Make
GitHub Actions
Railway
Vercel
Heroku
AI & ML
OpenAI API
Gemini SDK
Codex
Claude Code
GitHub Copilot
Neural Nets
CNNs
RNNs
Computational Vision
Tensorflow
PyTorch
Numpy
Pandas
Matplotlib
CORE CS
Object Oriented Programming
Data Structures
Algorithms
Time & Space Complexity Analysis
Operating Systems
Concurrency
Relational Databases
User Interfaces
Software Design Patterns
Software Architecture Styles
EDUCATION
Bachelor of Computer Science
University of Waterloo 2021 - 2026
Courses completed:
Algebra
Calculus
Linear Algebra
Optimization
Combinatorics
Probability
Statistics
Functional Programming
Algorithm Design and Data Abstraction
Object Oriented Programming
Data Structures
Algorithms
Logic and Computation
Computer Organization and Design
Sequential Programming
Introduction to Machine Learning
Operating Systems
User-Interfaces
Computational Vision
Information Systems Management
Software Design and Architectures
Distributed Systems
Computer Networks
The Social Implications of Computing
Bachelor of Business Administration
Wilfrid Laurier University 2021 - 2026
Courses completed:
Functional Areas of an Organization
Business Environment
Introductory Microeconomics
Introductory Macroeconomics
Financial Accounting
Business Law
Managerial Accounting
Organizational Behaviour
Human Resources Management
Marketing Management
Business Operations
Data Analytics
Strategic Management
Financial Management
Risk Management & Insurance
Options, Futures and Swaps
Personal Finance Management
Full Stack Development Cohort
100xDevs 2023 — 2024
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This 8-month cohort transformed me from a 1x engineer to a 100x engineer.
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Learnt about MERN stack, Next.js, PostgreSQL, DevOps, WebRTC, and advanced web development.
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Built several open-source projects to apply my knowledge.
Machine Learning Specialization
Deeplearning.ai 2022
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This 3-course specialization introduced me to a broad introduction to modern machine learning.
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Learnt about supervised learning, unsupervised learning, and some of the best practices used in Silicon Valley for artificial intelligence and machine learning innovation.
Deep Learning Specialization
Deeplearning.ai 2022
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This 5-course specialization introduced me to the capabilities, challenges, and consequences of deep learning.
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Built and trained neural network architectures such as Convolutional Neural Networks, Recurrent Neural Networks, LSTMs, Transformers.
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Learnt how to make them better with strategies such as Dropout, BatchNorm, Xavier/He initialization, etc.
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Tackled real-world cases such as speech recognition, music synthesis, chatbots, machine translation, natural language processing, etc.
Bachelor of Computer Science
University of Waterloo
Bachelor of Business Administration
Wilfrid Laurier University
Full Stack Development Cohort
100xDevs
Machine Learning Specialization
Deeplearning.ai
Deep Learning Specialization
Deeplearning.ai
WRITINGS
JUL 2026
The Paradox of Nostalgia
Summary:
Triggered by a sudden return to an old, unused Spotify account, this reflective essay explores the bittersweet reality of personal growth and the true nature of nostalgia. By examining how our lives evolve with time, it uncovers the paradox of the 'good old days' realizing that we don't actually wish to return to the past, but rather to the versions of ourselves who lived it. Ultimately, outgrowing our past selves isn't a somber thought, but a liberating one that frees us to live authentically in the present.MAY 2026
Distance Vector Routing Algorithms & The Count To Infinity Problem
Summary:
A deep dive into the Count To Infinity problem in Distance Vector routing, one of the most fascinating failure modes in computer networking. We explore how the Bellman-Ford based algorithm works, walk through a step-by-step example of how a single link cost change can send routers into a prolonged counting loop, and look at the mitigations used in practice.APR 2026
Course Notes Collection
Summary:
Over five years at the University of Waterloo and Wilfrid Laurier University, I’ve completed 50+ courses across Maths, Computer Science, and Business. For most of these, I developed detailed technical notes while preparing for exams. I have hosted these notes on GitHub and Notion as a resource for future students and a personal reference for my own work.APR 2026
When Should AI Explain Itself?
Summary:
When AI operates as a supervised tool, human professionals retain full accountability and can demand explanations as needed. However, autonomous AI agents in high-stakes domains must be architecturally required to document their reasoning, serving as a substitute accountability mechanism and enabling error detection and correction. Note: This paper was written for CS492, a CS ethics course at the University of Waterloo.MAR 2026
Newcomb’s Paradox: The Wrong Choice I’d Still Make
Summary:
What does your decision-making style say about you? Newcomb's Paradox is a thought experiment involving a near-perfect Predictor and two boxes. You're forced to choose between two equally intuitive but conflicting strategies. This essay explores both options, and makes the case for the one I'd pick.The Paradox of Nostalgia
JUL 2026
Distance Vector Routing Algorithms & The Count To Infinity Problem
MAY 2026
Course Notes Collection
APR 2026
When Should AI Explain Itself?
APR 2026
Newcomb’s Paradox: The Wrong Choice I’d Still Make
MAR 2026
HOBBIES & INTERESTS(Click to view more)
READING
Mostly fiction with occasional non‑fiction. I’m trying to read more consistently, and I keep a running log on the Bookshelf page.