Get To Know More
About Me
Experience
Research Intern
CSE-305 Teaching Assistant
Peer Mentor
Education: UB
B.S/M.S in Computer Science
Minor in Mathematics
I'm a developer and CS Graduate student at UB passionate about building high-performance software. With a strong foundation in mathematics and hands-on experience ranging from deep learning and database internals to modern frontend development, I thrive on tackling complex technical challenges across the entire stack. When I'm not writing code or analyzing data, you can usually find me studying Japanese or staying active at the gym.
Explore My Journey
Experience
- ◆ Co-architecting Phase 1 of a multimodal passive sensing platform designed to characterize tinnitus behavioral subtyping by integrating active and passive data streams across consumer-grade ecosystems (Fitbit API, iOS/Android).
- ◆ Developing data ingestion pipelines to synchronize high-frequency passive sensing modalities (HRV, EDA, sleep quality, physical activity, and ambient sound levels) with smartphone-based Ecological Momentary Assessment (EMA) triggers.
- ◆ Designing telemetry and user engagement features to mitigate the industry-standard 89% EMA non-adherence rate, ensuring robust data density required for downstream longitudinal predictive modeling.
- ◆ Implementing data preprocessing and statistical clustering pipelines to analyze multi-device streams, translating physiological and environmental ground truths into distinct clinical and behavioral phenotypes.
- ◆ Improved student comprehension and assignment completion rates for 600+ students by leading weekly recitations and office hours focused on functional programming concepts in OCaml.
- ◆ Reduced student debugging time by guiding structured problem-solving approaches and functional design patterns across assignments and exams.
- ◆ Collaborated with instructors in weekly meetings to improve course delivery and student outcomes while maintaining grading consistency and academic integrity across 600+ students by evaluating exams and projects using standardized rubrics.
- ◆ Contributing as a co-author and developer on a soon-to-be-published Medical Spanish conversation app, ensuring accurate medical language usage and AI alignment with healthcare needs.
- ◆ Collaborating within an interdisciplinary team including linguistics and pre-med researchers to align AI outputs with real-world medical communication needs.
- ◆ Designing and implementing natural language processing (NLP) pipelines to parse and analyze Spanish medical vocabulary and sentence structures.
Browse My Recent
Projects
WiFi CSI Fitness Assessment System
ESP32-S3 PyTorch DSP Python
- • Built a device-free wireless sensing system using a transmitter-receiver pair of microcontrollers to assess bicep curl form quality via Channel State Information.
- • Engineered a multi-stage DSP pipeline incorporating static multipath subtraction and a 4th-order Butterworth bandpass filter.
- • Trained a feed-forward PyTorch neural network mapping frequency and energy features to a continuous form-quality score.
S&P 500 Big Data Pipeline
Hadoop HDFS Apache Spark Docker Python
- • Engineered an end-to-end processing pipeline using Dockerized Hadoop HDFS and Apache Spark to analyze stock market data.
- • Designed a standalone HDFS cluster via Docker container execution supporting over 497k transactional rows.
- • Developed scalable analytical models utilizing Spark ML, applying 3 distributed machine learning algorithms.
Air Board
MediaPipe PyQt5 Pyautogui OpenCV
- • Developed a gesture-based control system using MediaPipe and PyQt5 that enables hands-free computer interaction.
- • Implemented multiple operational modes including drawing with OCR text conversion and mouse cursor control.
- • Engineered robust gesture recognition algorithms for pinch detection and specific hand poses.
Gambling Addicts Platform
MySQL JavaScript PHP HTML/CSS
- • Developed a virtual casino platform to simulate popular games such as Poker, Blackjack, and Roulette.
- • Utilized Agile methodology with four development sprints, leveraging user stories within a team of five developers.
- • Engineered a secure full-stack web application incorporating password hashing and session validation.
WiFi CSI Fitness Assessment System
ESP32-S3 PyTorch DSP Python
- • Built a device-free wireless sensing system using a transmitter-receiver pair of microcontrollers to assess bicep curl form quality via Channel State Information.
- • Engineered a multi-stage DSP pipeline incorporating static multipath subtraction and a 4th-order Butterworth bandpass filter.
- • Trained a feed-forward PyTorch neural network mapping frequency and energy features to a continuous form-quality score.
S&P 500 Big Data Pipeline
Hadoop HDFS Apache Spark Docker Python
- • Engineered an end-to-end processing pipeline using Dockerized Hadoop HDFS and Apache Spark to analyze stock market data.
- • Designed a standalone HDFS cluster via Docker container execution supporting over 497k transactional rows.
- • Developed scalable analytical models utilizing Spark ML, applying 3 distributed machine learning algorithms.
Air Board
MediaPipe PyQt5 Pyautogui OpenCV
- • Developed a gesture-based control system using MediaPipe and PyQt5 that enables hands-free computer interaction.
- • Implemented multiple operational modes including drawing with OCR text conversion and mouse cursor control.
- • Engineered robust gesture recognition algorithms for pinch detection and specific hand poses.
Gambling Addicts Platform
MySQL JavaScript PHP HTML/CSS
- • Developed a virtual casino platform to simulate popular games such as Poker, Blackjack, and Roulette.
- • Utilized Agile methodology with four development sprints, leveraging user stories within a team of five developers.
- • Engineered a secure full-stack web application incorporating password hashing and session validation.