Hey, I'm
Aniket.
These
are my
Experiences
- Attending seminars on machine learning and current research, connecting with graduate students, professors, and others interested in ML.
- Participating in personal development workshops focused on building professional and interpersonal skills.
- Developed an asynchronous data processing engine in Go using goroutines, buffered channels, and worker pools to handle high-volume data streams.
- Built a distributed messaging framework to coordinate data delivery across webhooks, external APIs, and notification systems, and automated data synchronization between cloud databases and CRM platforms.
- Optimized low-level hardware state management and multithreaded C++ execution, eliminating a five-second frame stall and reducing average frame latency by 7%.
- Refactored legacy code and improved automated testing to support maintainability and multi-client system stability.
- Led lab sessions for CMPUT 301 (Introduction to Software Engineering), supporting students in software architecture, design patterns, testing, and refactoring through practical software development exercises.
- Collaborated with course instructors and fellow teaching assistants to develop lab presentations and instructional materials, ensuring consistent delivery of course concepts and practical guidance.
- Mentored four student teams in CMPUT 401 (Software Process and Product Management), guiding requirements gathering, MVP scoping, sprint planning, technical architecture, and client communication throughout the software development lifecycle.
- Improved solar irradiance modelling by reviewing scientific literature to identify and implement a more accurate equation, incorporating geographic coordinates, elevation, and time-dependent solar positioning. Implemented multithreading to accelerate computationally intensive calculations.
- Contributed to PICO, an LED-array-based solar simulator that reproduces sunlight conditions in laboratory environments, mapping physical LEDs to their software representations to enable programmatic control of the array.
- Cleaned, processed, and analyzed continuously collected sensor data, addressing missing values, filtering noisy measurements, and identifying anomalies. Examined trends and relationships across measurements to assess reliability and prepare structured datasets for research and downstream applications.
- Implemented real-time sensor data streaming using WebSockets and external APIs, reducing dashboard update latency from 250 ms to 150 ms.
- Contributed to developing a mixed-reality application to project diagnostic images onto patients’ skin, helping visualize surgical sites and supporting medical education.
- Trained deep learning models to generate personalized anti-addiction videos for a research study investigating the potential impact of tailored messaging on patient outcomes.
Let's
see some of my
Projects
Project 1 - NotExo
An independent research initiative applying machine learning to open-access satellite data to advance planetary science and exoplanet research.
- Investigated whether NASA's MAVEN MAG and Tianwen-1 MOMAG measurements can be combined to extend data coverage for vSWIM's Gaussian Process Regression, while preserving the existing GPR implementation.
- Aligned overlapping MAG and MOMAG measurements using Theil–Sen regression to establish a common measurement scale.
- Developed a filtering pipeline to identify candidate upstream solar-wind observations using a Mars bow-shock model, temporal averaging, minimum observation counts, and magnetic-field variability thresholds.
- Compared preliminary results with a MAVEN-only baseline, examining data coverage and model uncertainty. Identified potentially overconfident uncertainty estimates when MOMAG dominated the inputs, highlighting the need for further validation.
- Developed an interactive visualizer for the vSWIM model to track solar wind predictions, satellite orbits, and model uncertainty across MAVEN data gaps.
Python, Go, NumPy, SPICE Toolkit, Google Compute Engine, Scikit-Learn
Website
Project 2 - FissionMunk
An open-source Python library for two-dimensional nuclear fission simulations, built on Pymunk to provide reusable components for learning about nuclear reactor systems.
Built after researching nuclear fission and reactor operation, including neutron behavior, moderators, control rods, and coolant systems, to guide the development of an educational simulation.
Streams simulation states as JSON over WebSockets in real time, so external interfaces can visualize reactor behavior as the simulation runs. Demonstrated at DemoCamp.
Python, Pymunk, NumPy, pytest, PyPI, Poetry, GitHub Actions
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
A real-time sentiment analysis application built with a RoBERTa model to help computer science students interpret the emotions and tone expressed in text.
Awarded second place at HackED 2023 (University of Alberta) and later demonstrated at DemoCamp to students and industry professionals.
Website
Github
Devpost
Take
a look at my
Resume
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.