Calgary / software / research technology
I’m Ali Siddiqui, a Calgary-based software developer and research technologist working across applied AI, biomechanics, embedded systems, scientific computing, and full-stack development.
My work connects systems to real-world applications, and I love working across multiple modalities: sensor and signal data, machine-learning models, full-stack tools, and human-centered AI prototypes.
cat ./summary.md
I work on technical systems where the requirements are ambiguous, the data is messy, and the final product has to make sense to real people.
My background combines computer science, philosophy, biomechanics research, software development, teaching, sustainability sales, and community leadership. That mix has shaped the way I build. I care about correctness, but I also care about whether a system can survive contact with users, sensors, experiments, and the real world.
I am currently looking for software, AI, research software, scientific computing, and technical product opportunities.
grep -r focus ./ali
ls ./featured_work
A multimodal research workflow for studying reaching, proprioception, vestibular feedback, and motor learning.
The hard part was not any single tool. It was making several imperfect systems work together: sensors, timing, protocols, trial conditions, stimulation modes, and analysis-ready data.
Unity, C#, Arduino Due, C/C++, IMU, DAC, MATLAB, Python, force-plate data, VR, experimental design.
Movement looks simple until you try to measure it. I have worked on machine-learning and computer-vision prototypes for analyzing human movement, detecting falls, and modeling gait-related risk.
Python, OpenCV, TensorFlow/Keras, NumPy, pandas, Jetson Nano, CUDA C++, time-series data.
At Alberta Paramount College, I built and improved full-stack systems for internal operations, administrative workflows, analytics, and student-facing processes.
One project reduced manual administrative work from approximately 40 hours per week to 8 hours per week and supported student conversion workflows valued at over $350K.
React, JavaScript, Node.js, Express, PostgreSQL, SQL, analytics.
A prototype concept that uses camera input, computer vision, and LLM-based prioritization to convert noisy visual environments into concise, Braille-ready context.
Computer vision, LLMs, accessibility design, camera-based scene understanding, simulated Braille output, haptic-style alerts.
Weave is an AI-powered outreach and network discovery concept designed to help users find relevant people, events, and opportunities based on their goals.
LLMs, search, ranking, profile discovery, relevance scoring, product design, outreach workflows.
cat ./experience.log
I build and support software and hardware workflows for biomechanics and human movement research, including Arduino-based sensor systems, IMUs, VR reaching tasks, force-plate data, and MATLAB/Python analysis pipelines.
I built and improved internal software systems for education operations, administration, analytics, and student workflows.
I helped homeowners understand renewable-energy options and the practical value of solar adoption.
I taught practical digital skills and productivity software to adult learners, including Word, Outlook, PowerPoint, and Excel.
I helped coordinate youth programming, volunteer efforts, community initiatives, and communication within the Calgary West youth organization.
I worked on computational neuroscience problems involving data analysis, modeling, and interpretation of large-scale experimental data.
Python, NumPy, pandas, scikit-learn, Keras, scientific computing, neuroscience datasets.
ls ./projects
A research system for studying how vestibular stimulation and visual feedback affect reaching, balance, and motor control.
A machine-learning project for analyzing human movement and estimating fall-related risk from gait data.
Python, TensorFlow/Keras, NumPy, pandas, recurrent neural networks, time-series analysis, biomechanics data.
An edge-AI prototype for detecting falls using camera input and local inference for safety, rehabilitation, and health-monitoring use cases.
Jetson Nano, Python, OpenCV, CUDA C++, computer vision, embedded AI.
A hackathon-winning health-tech project using software and machine learning to support prognosis in neurodegenerative disease.
Python, AWS, Docker, TensorFlow, MongoDB.
An AI-powered tool for finding relevant people, opportunities, and events based on user goals.
LLMs, search, ranking, relevance scoring, profile discovery, outreach workflows, product design.
An accessibility prototype that turns a noisy visual scene into concise, prioritized context for blind and deafblind users.
Bad systems describe everything. Better systems decide what matters.
Computer vision, LLM ranking, accessibility design, camera input, simulated Braille output, haptic-style alerts.
cat ./skills.toml
Python, JavaScript, TypeScript, React, Node.js, Express, PostgreSQL, SQL, Git/GitHub, Linux, REST APIs, Docker, full-stack development.
PyTorch, TensorFlow/Keras, scikit-learn, NumPy, pandas, computer vision, time-series modeling, signal processing, data cleaning, model evaluation.
MATLAB, biomechanics data analysis, force-plate data, motion analysis, experimental design, sensor data processing, trial-based analysis, visualization.
Arduino Due, C/C++, IMUs, DACs, UART, I2C, Jetson Nano, sensor integration, hardware debugging, real-time data acquisition.
Technical teaching, customer-facing communication, consultative sales, research collaboration, community leadership, technical writing, accessibility design.
cat ./about.md
I am interested in systems that connect computation to the real world: sensors, bodies, behavior, cognition, and decision-making.
That interest has taken me through biomechanics research, VR experiments, embedded hardware, machine-learning prototypes, full-stack tools, sustainability sales, teaching, and community leadership.
The common thread is applied software. I like problems where the answer is not just in the code. It is in the user, the experiment, the data, the organization, and the physical system around it.
My philosophy background shapes how I think about technology. I am not only interested in what can be automated. I am interested in what technology helps people notice, understand, decide, and do.
cat ./philosophy.md
I study philosophy because it trains a different kind of precision.
Programming asks: does it run? Science asks: is it true? Design asks: does it help? Philosophy asks: what do we mean, and what follows if we are right?
That combination matters in technology. AI systems are not just technical artifacts. They shape attention, judgment, incentives, and behavior. The best tools do not simply produce more output. They improve the user’s ability to think and act.
I am drawn to software that extends agency rather than replacing it.
cat ./looking_for.md
I am currently looking for software, AI, research software, scientific computing, and technical product opportunities.
ssh ali@calgary
I am based in Calgary, Alberta and open to local, hybrid, remote, and relocation-friendly opportunities.