Hi, I'm Shubh
SS

About

I am a Software Engineer, with an Honors Specialization in Computer Science and Minor in Software Engineering from the University of Western Ontario. Through my university, I interned at a few tech companies, and competed in over several hackathons for fun. In my free time, I enjoy biking, playing piano, reading and exploring new cities.

Work Experience

A

Allied Digital

January 2025 - Present
Software Engineer
Built and deployed real-time Computer Vision and ANPR models using YOLOv8, DeepSort, and EasyOCR, integrating RTSP live feeds. Increased recognition accuracy by 25% through custom license plate datasets, advanced preprocessing, and fine-tuned thresholding. Created an internal chatbot using Google Gemini and Gem Manager to index and search over 200 PDF documents, reducing proposal submission timelines by 30%. Designed and implemented predictive ML models with Python and TensorFlow for the Digital Desk platform, enhancing project timeline forecasting and improving project management efficiency by 20%.
N

Nvidia

September 2021 - September 2022
Software Engineer
Managed the full development cycle of NVIDIA customer tools and internal websites, from design to deployment. Developed reusable ReactJS components for front-end applications and native apps using Electron. Designed and implemented backend APIs in Rails (SQL) and Node (MongoDB) for new features. Collaborated with cross-functional teams to gather requirements, propose solutions, and drive development to completion. Tracked and resolved bugs, ensuring high-quality code and functionality.
R

Royal Bank of Canada

June 2021 - August 2021
Software Engineer
Improved query response times by over 80% by creating RESTful APIs to pipeline query requests from internal. Created automated test suites in ReadyAPI using Groovy and SQL that validated data and compared tables with over 100,000 records to check for data loss before and after Extract Transform Load batch processing, in under 8 seconds. Identified patterns for duplicated and incorrect logs in Kibana and filtered these to reduce the number of hits by over 50%
B

Birla Institute of Science & Technology

June 2018 - July 2018
Software Engineer
Built an efficient automated elevator system using an Arduino microprocessor. Designed circuits using hardware components and coded the algorithm using C language. Increased the efficiency of the system by 35%.

Skills

React
Next.js
Typescript
Node.js
Python
Flask
Ruby on Rails
Postgres
MongoDB
Docker
Nginx
C++
My Projects

I've worked on a variety of projects, from web applications to hardware projects. Here are a few of my favorites.

Environmental Intelligence

Environmental Intelligence

Integrated IBM’s Environmental Intelligence Suite with geospatial, weather, and carbon accounting APIs, enhancing existing camera and sensor infrastructure to build a scalable analytics platform for Tier 1 cities in India.

Python
Flask
IBM Environmental Intelligence API
React
Redux-Sagas
Material UI
ANPR

ANPR

Deployed real-time ANPR system with YOLOv8, DeepSort, EasyOCR, and RTSP feeds. Boosted accuracy by 25% via custom datasets, preprocessing, and fine-tuning

Python
Flask
SQLAlchemy
OpenCV
DeepSort
YOLOv8
EasyOCR
React
Redux-Sagas
Material UI
PostgreSQL
votingBuck

votingBuck

Engineered interactive data visualizations using MaterialUI, implementing dynamic tables and charts for politicians’ dashboards on a fantasy-voting game

Typescript
React
TailwindCSS
Express
Node.js
PostgreSQL
Docker
NGINX
Redis
Material UI
GroceryList Application

GroceryList Application

Constructed a real-time, multi-user, shared grocery list app, utilizing gRPC for efficient client-server communication, and primary-backup replication for a fault tolerant architecture

Python
gRPC
Kivy
EyeSpy

EyeSpy

Designed and implemented a Raspberry Pi-based home security system with C++, QT GUI, SQL database, and email notifications, utilizing PIR sensors

C++
QT
sqlite3
Raspberry Pi 3
Passive Infrared (PIR) Sensors
LED
Approximate Membership Queries

Approximate Membership Queries

Conducted performance benchmarking across different data structures such as Bloom Filters, Counting Bloom Filters, Quotient Filters and Cuckoo Filters to guide optimal filter selection for various use cases

BloomFilters
Quotient Filters
Counting Bloom Filters
Cuckoo Filters
Hackathons

During my time in university, I attended 4+ hackathons. People from around the country would come together and build incredible things in 2-3 days. It was eye-opening to see the endless possibilities brought to life by a group of motivated and passionate individuals.

  • T

    TreeHacks 2021

    Stanford, California

    Built an interactive learning experience platform that allowed presenters to select AR models and students to interact with these 3D Models in real-time, simulating an in-person classroom experience during COVID.
  • D

    DeltaHacks VI

    Hamilton, Ontario

    Developed an application that uses eye contact, emotion and sentiment as the main metrics to provide feedback to the interviewees on their mock interviews.
  • U

    UofT Hacks VII

    Toronto, Ontario

    Created a time scheduling software using Google Cloud API and ML Scripts that enabled individuals to customize and personalize their schedules thus increasing their productivity.
  • H

    Hack Western 6

    London, Ontario

    Developed a waste segregation tool that utilizes voice inputs from users’ during disposal, accurately determines the waste material and directs users to the appropriate disposal bin using.