Cart Check
ProductA grocery price-comparison web app that uses LLM APIs to parse shopping lists and match items across stores, helping shoppers find the cheapest cart. Built end-to-end: UI, API integration, and prompt design.
Hello, I'm
Disha Santhosh
I am a Data Scientist
A software engineer and data professional with 3 years of backend experience, recently graduated with an M.S. in Information Management (Data Science) from the University of Washington — building scalable systems, interpretable ML, and LLM-powered products.
Projects.
A mix of shipped products, published research, and agentic AI systems — the common thread is turning messy real-world signals into something reliable.
Explaining Time-Series Models
M.S. CapstoneA faithfulness benchmark of temporal saliency methods — SHAP, Gradient Saliency, and WinIT — across TCN and LSTM architectures on PhysioNet 2012 (clinical) and PAMAP2 (wearable sensor) data. Built the full training, explainability, and evaluation pipeline.
Atrial Fibrillation Detection
Published researchA deep learning tool for detecting atrial fibrillation from RR intervals using a hybrid CNN + LSTM architecture, reaching 97.6% accuracy. Published in IEEE Xplore — the work that started my interest in clinical ML and interpretability.
DevOps Automation Agent
Agentic AIA multi-repo DevOps agent that automates infrastructure workflows using Kiro CLI, AWS MCP servers, and Terraform — turning routine cloud operations into reviewable, repeatable agent runs.
Experience.
Data Analyst
Kodely · Seattle, WAPart-time analytics work alongside my graduate program — building data pipelines, analyses, and reporting that inform product and curriculum decisions.
Software Engineer
Robosoft Technologies · Udupi, IndiaBackend engineer on scalable distributed systems: API development, cloud integrations on AWS, and streaming pipelines with Spark and Kafka. Focused on reliability, efficiency, and making every service observable.
Embedded Systems Intern
Emertxe Technologies · Bangalore, IndiaHands-on internship in embedded programming and systems fundamentals.
97.6%Detection accuracy
Deep Learning assisted tool for Atrial Fibrillation detection using RR Intervals
IEEE Xplore · 2022 International Conference on Connected Systems & Intelligence (CSI). A CNN + LSTM approach to arrhythmia detection from heart-rhythm intervals.
Read the paper ↗Education.
University of Washington
M.S. Information Management — Data Science
- Dean's Scholarship recipient
- Capstone: faithfulness evaluation of temporal saliency methods for time-series models
Vivekananda College of Engineering & Technology
B.E. Electronics & Communication Engineering
- University Rank 1, department
- Best Project Paper Presentation — Jnanasangama national student conference
- IEEE Student Chapter chair — Best Branch of the Year
Skills.
Languages
PythonSQLGoJava
JavaScript / TypeScript
Data & Machine Learning
PyTorchSHAPPandas
SparkKafkaLLM APIs
Cloud & Infrastructure
AWS (EC2, S3, Lambda, SQS)CloudFront
Route 53TerraformDocker
Backend & Tools
Node.jsREST APIsReact
MongoDBMySQLGit
Let's build something great.
I'm open to software engineering, data science, and data engineering roles. The fastest way to reach me is email — I read everything.
dishas.2305@gmail.com