# Vvyom Shah

> Full Stack SWE | TypeScipt | Python | 3+ years of developing AI driven SaaS applications

Location: Brooklyn, New York, United States
Profile: https://flows.cv/vvyom

With 3 years of Full Stack experience, I build scalable, customer-facing platforms and integrate ML-based solutions to drive business growth.
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Back End - Node, Express, Flask
Front End - ReactJS, Redux, HTML, CSS, Material-UI
Databases - PostgreSQL, MongoDB, MySQL
Cloud Technologies - AWS Redshift, AWS S3, AWS DynamoDB, Snowflake, Azure AKS, Docker, Kubernetes
Data Engineering: Apache Spark, Apache Airflow

## Work Experience
### Software Engineer @ Mommy's Heart
Jan 2023 – Jan 2024 | New York, United States
• Redesigned database and REST API endpoints for consumer facing platforms using PostgreSQL and Express to increase system reliability and speed of content delivery.
• Developed a unified PostgreSQL data warehouse to integrate multiple data sources, reducing data redundancy and streamlining customer outreach, which contributed to a 10% increase in user retention.
• Built automated data monitoring and reporting pipelines to track customer engagement metrics, delivering actionable insights that drove a 15% increase in feature adoption.

### Software Engineer @ New York University
Jan 2021 – Jan 2022 | New York, United States
• Reduced MRI scan time by 50% by designing and train Deep Learning models using TensorFlow and Python scripts.
• Designed ETL pipelines using Python and Apache Airflow, processing large-scale healthcare data, resulting in reduced processing times of 30%.

### Software Engineer Intern, Data @ Gastrograph AI
Jan 2022 – Jan 2022 | United States
• Developed customer facing dashboards across the stack using React and Postgres to automate report generation and data ingestion.
• Created a React component library for visualizing KPI and metrics using D3.js and GraphQL wrappers.
• Revamped PostgreSQL databases increasing efficiency, reducing query times by 50% and ensuring fast, on-demand retrieval of high-volume datasets for analytics and reporting.

### Full Stack Data Scientist @ ParallelDots
Jan 2020 – Jan 2021 | India
• Led the integration of ML based SKU level planogram compliance reports for 2000+ supermarkets into client facing React dashboards.
• Trained and deployed on-device ML models for mobile devices using a React frontend for sub 0.5s image search of supermarket items.
• Migrated ML applications to serverless architecture using AWS EKS (Kubernetes), AWS EFS and
RabbitMQ queues to reduce GPU usage and save upto $200,000 per year.


## Education
### Master of Science - MS in Computer Science
New York University

### Bachelor's degree in Computer Science
SVKM's Narsee Monjee Institute of Management Studies (NMIMS)


## Contact & Social
- LinkedIn: https://linkedin.com/in/vvyomshah

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