About Me

Hey there! I’m Riya Sudhakar Salian, a Tech enthusiast with a knack for Full-Stack Development and AI Research in Healthcare.

With four years in the Tech industry, I've had the chance to work on some pretty cool projects and learn a lot along the way.

My Journey

Full-Stack Software Development (Aug 2020 - Present)

What I Do: Building scalable web apps, crafting RESTful APIs, and diving into microservices with optimized databases. I take pride in writing clean, efficient code and always aim to deliver top-notch software.

Tech I Love:
Programming languages & Framework: Java (Spring Boot, Micronaut), Python (Django), MATLAB
90%
Front-End: React, Node.js, CSS3, HTML5
85%
Back-End: PostgreSQL, MySQL, MongoDB, Cassandra, Couchbase, Firebase, AWS S3, Big Table
95%
Devops & Cloud: Kafka, Docker, Kubernetes, AWS, GCP, Jenkins, JFrog
85%
Automation & Testing: Selenium, BDD Cucumber, JUNIT, Jest, Mockito, Jmeter, Postman
70%
Logging & Monitoring: Splunk, Dynatrace, Grafana, Nagios, Elastic Elk, Jira, Confluence
85%

AI Research in Healthcare (Aug 2020 - Present)

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CAD Detection with AI: Developed and implemented Attention-guided multi-dimensional Temporal Transformers and Vision Transformers to improve Coronary Heart Disease diagnosis using Stress ECGs.
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Diabetes Management App for Pregnancy: Developed Android application to integrate seamlessly with an artificial bionic pancreatic controller for Type 1 Diabetes, providing real-time glucose monitoring, workout routine and insulin delivery to revolutionize diabetes management.
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Psychological Stress Detection with TSST: Leveraged advanced AI architectures like LTCNs, CNNs, and Transformers to measure psychological stress through salivary cortisol levels.

AI/ML Models I work with:

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TST

Time-series Transformers
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ViT

Vision Transformers
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LLM

LLMs (GPT-3.5)
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CNN

CNNs
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LSTM

LSTMs
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XGBoost

XGBoost
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ARIMA

ARIMA
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SVM

SVMs

Fun Stuff

When I'm not coding, you'll probably find me dancing! I've been a classical dancer for 13 years, and performing on stage is one of my biggest passions. Dancing has taught me discipline, creativity, and how to express myself — skills that I bring into my tech work as well.

Thanks for stopping by my page!

PS: You can check out some of my recent projects below :)

If you want to chat about tech, dance, or anything else, feel free to reach out.

Projects & Recent Work

LLM-Sentiment-Analysis-Visualization

Performs sentiment analysis using a Language Model (LLM) and visualizing the sentiment scores using matplotlib. The sentiment analysis function utilizes an LLM to analyze the sentiment of input text, and the visualization function creates a horizontal bar chart to represent the distribution of negative, neutral, and positive sentiments.

WatchdogFS-MonitorPy

Watchdog provides a versatile API suitable for various platforms, enabling the execution of commands when the monitored file system undergoes alterations. It facilitates the setup of triggers for diverse events like file creation, modification, deletion, and movement. Subsequently, we can employ custom scripts to react to these alterations effectively.

EventVizPredict

Twitter API data with LSTM for sequence modelling for classification EventViz, achieving 85% prediction accuracy. Employed NLP techniques for sentiment analysis, enabling precise future event prediction and dynamic visualizations with D3.js.

FraudLens

Fraud detection system for online banking transactions, utilizing semantic web mining and graph-based features with Neo4j and integrating Random Forest and XGBoost models.

CGM DexcomG6

Continuous Glucose Monitoring (CGM) system for easier diabetes management. Integration with Dexcom G6 CGM System and Insulin Pumps for people with type 1 or type 2 diabetes for an overall easier experience in managing your diabetes.

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