Hey, I'm
Aniket.
These
are my
Experiences
- Engineering challenges of moving complex ML research into stable, production-ready environments.
- Working toward the AI Career Accelerator Accreditation, specializing in deployment and scaling of ML models.
- Built a concurrent Go job queue with goroutines & worker pools, improving patient data throughput by 25%.
- Integrated HubSpot & Stripe via custom middleware, reducing invoicing errors by 6.33%.
- Architected a Pub/Sub messaging framework across SMS, email, Slack & in-app, cutting manual handling by 31%.
- Optimized C++ IMMDevice state management with multithreading, cutting frame processing time by 7.25%.
- Designed a latent sync function for Meta Quest headsets, reducing multiplayer latency spikes by 20%.
- Led four student teams through the full SDLC in a 400-level Software Processes & Product Management course.
- Guided cross-functional discussions blending design, technical, and PM perspectives.
- Built a solar tracking feature computing irradiance from GPS coordinates and time for aerospace ground testing.
- Automated Raspberry Pi + Apache setup via Bash, reducing a 30-min process to under 10 min.
- Replaced REST polling with WebSockets for real-time sensor updates, cutting dashboard latency from 250ms to 150ms.
- Used Datadog to track error patterns, reducing runtime issues by 16%.
- Worked on AR software to project diagnostic images onto patient's skin.
- Trained deep learning models in Google Colab for a social experiment using AR overlays.
Let's
see some of my
Projects
Project 1 - NotExo
An open research initiative applying ML and data engineering to terabytes of publicly available data from space agencies (NASA, ISRO, CSA, ESA, JAXA).
Covers exoplanet classification using Quantum SVM, solar wind analysis on Mars, and climate science, with custom pipelines to process and benchmark massive telescope datasets.
Features a secure model-sharing format (.exo) that bundles a trained model, statistics, and RSA encryption.
Website
Project 2 - FissionMunk
FissionMunk is a lightweight 2D physics open source python library designed to simulate nuclear fission reactor mechanics.
It enables users to visualize interactions between neutrons and uranium atoms, providing valuable insights into fission
dynamics with customizable parameters, such as neutron occurrence probabilities, moderators, and control rods.
Github
PyPI
Project 3 - Business Boardroom
It is a full-stack application that simulates structured conversations between
marketing team members using multi-agent Generative AI.
Designed for product ideation,
marketing analysis, and strategic decision-making, it integrates with Slack to allow
agent interactions in team channels, as well as a standalone frontend website for
web-based simulations
Website
Github
Blog
Project 4 - Experimenter
It is an Android app that simplifies experiment and test recording with
built-in patterns for Binomial and Non-Negative tests, and displays
locations through Google Map API.
The app allows in-depth analysis of experiment data. Overall, this app is a
valuable tool to efficiently conduct and analyze experiments on the go.
Github
Project 5 - Toneteller
Toneteller is a web application and
chrome extension that uses machine learning
and artificial intelligence to perform sentiment
analysis on the text that a user has entered.
My team and I developed this project during
a hackathon where it was awarded second place.
Website
Github
Devpost
Meet
the Dev behind the
Code
Who am I?
I am a software developer who has completed a Bachelor's degree in Computer Science from the University of Alberta, Edmonton, Canada.
What am I passionate about?
I am passionate about using technology to solve real-world problems and improve people's lives.
Hobbies?
When I'm not working, you can usually find me playing guitar, practicing taekwondo, or kayaking on the North Saskatchewan River. I also enjoy meeting new people and learning about their experiences and perspectives.
Summer Plans?
I am an avid fan of motorsports and have recently started karting as a hobby. I love following Formula 1 races and am looking forward to attending the Canadian Grand Prix in Montreal this coming summer.