# Hekang Jia

> Software Engineer at Intuitive

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/hekang

## Work Experience
### Software Engineer @ Intuitive
Jan 2021 – Present | Sunnyvale, California, United States

### Full Stack Engineer - CAPSTONE Project @ Carnegie Mellon University
Jan 2020 – Jan 2020 | Pittsburgh, Pennsylvania, United States
Developed a workflow-based application to create and evaluate different business cases using Vue.js with Node.js for the frontend and Dropwizard for the backend.
Implemented token-based authentication and RESTful APIs for secure, scalable communication between the frontend and backend.
Added multiple charts for data visualization and manipulation using chartJS.
Dockerized application for portability and added deployment using Jenkins CI/CD.

### Software Engineer Intern @ Doubtnut
Jan 2020 – Jan 2020 | Pittsburgh, Pennsylvania, United States
Created and Managed a large scale (5000+ images) annotation dataset of Chemical Compound.
Built and serverized a web-based Chemical compound/bond object detection annotation pipeline with Django framework.
Designed "GraphMolecule" algorithm to objectify and represent Chemical compounds as programmable Python objects.

### Software Engineer @ Carnegie Mellon University
Jan 2020 – Jan 2020 | Pittsburgh, Pennsylvania, United States
Enhanced the SmartHome system's scalability by inverting the client/server roles to centralize house control to the server rather than individual smart houses.
Data Acquisition and Cleaning to prepare large-scale (~10,000 homes) raw data from the SmartHome database for the classification model-training.
Custom AB Testing implementation with 'house-based feature flags' to evaluate the performance of the new ML-based Auto-Light-Turn-on Model.
Implemented Docker-based Continuous Deployment using Jenkins with support for test reports generation and deployment rollback.
Performed systematic software testing implementations including SonarQube setup, Unit testing with JUnit, Static Analysis with
Checker Framework, Integration testing with Mockito, along with Jacoco coverage testing and PIT mutation testing.

### Data Scientist @ Amazon Alexa Prize
Jan 2018 – Jan 2019 | Davis, California
Developed a social chatbot that was awarded 1st place in Alexa Prize and acknowledged in EMNLP published article.
Implemented and annotated a new dataset (~1500 utterances) of Alexa human-machine interaction dialogue scheme based on the Universal Dependency annotation scheme to improve ASR error management. Result in the project's dependency parser model reaching 85.05% on labeled dependency edges.
Implemented an internal Automated Model Evaluation process to monitor latency, response time, create charting to discover outliers data, and analyze model’s performance bottleneck.
Performed feature debugging and model fine-tuning by daily user testing.

### Research Member @ UC Davis Language, Multimodal and Interaction Lab
Jan 2019 – Jan 2019 | Davis, California
Created and managed a large-scale annotation dataset(~20,000 entries) of Meeting Dialog based on AMI Corpus.
Designed and implemented a data-cleaning and weighting algorithm to prepare the raw meeting annotation data for imbalanced-weight Baseline Model Training. 
Implemented a supervised LSTM Sentence Classification Model to extract action items from Meeting dialogue sentences. Improved model performance by data pre-processing with Pickle, and adding ELMo embeddings.

### Algorithm Intern @ Malong Technologies
Jan 2018 – Jan 2018 | Shenzhen, Guangdong, China
Researched and developed retail product detection/classification networks for No-Man Cashier (AutoCheckout) by implementing YOLO V3 and Fast-RCNN frameworks and training with the company’s retail image dataset.
Developed backend system interfaces for front-end and PostgreSQL database relations to create a feedback mechanism regarding model performance and client satisfaction.


## Education
### Master's degree in Master of Software Engineering - Scalable System
Carnegie Mellon University

### Bachelor of Applied Science (B.A.Sc.) in Computer Science
University of California, Davis


## Contact & Social
- LinkedIn: https://linkedin.com/in/hekang-jia-697163a7

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Source: https://flows.cv/hekang
JSON Resume: https://flows.cv/hekang/resume.json
Last updated: 2026-03-29