Gurminder Singh
Data EngineerSoftware EngineerAI Engineer
Seattle, WA
Washington, USA
WELCOME
Building software and AIthat makes a difference
Hi, I'm Gurminder!
💡I build practical software applications and machine learning tools.
🔧I combine software engineering, data, and AI to solve interesting problems.
🎯I focus on making technology simple, effective, and useful.
I’m currently looking for a full-time role—let’s chat!
Get in TouchAbout Me
Quick Facts
- 🎓Master’s degree in Computer Science, with a background in Mathematics
- 🚀Over 5 years working in software and AI
- 💼Founder & CTO at Dilbr
- 🔧Experienced in AI, machine learning, and cloud solutions
- 🌟Skilled in both full-stack development and data engineering
- 🌎Located in Seattle, open to remote jobs
Core Values
Innovation
Building software and processes in new and thoughtful ways
Quality
Making sure my work is solid and reliable
Growth
Always learning and improving my skills
My Approach
- →Writing clear, reliable code
- →Working closely with others to build user-friendly products
- →Building software and processes that can adapt over time
Experience
July 2024 – Present
Dilbr
Founder & CTO
Seattle, WA
- •Architected and built AI-driven recommendation engines using multimodal deep learning.
- •Developed scalable serverless backends on Google Cloud Functions, TensorFlow, and PyTorch.
- •Enhanced user engagement and reduced latency through optimized real-time analytics.
Click to expand
Feb 2022 – Present
Boomerang Healthcare
AI Software Engineer
Seattle, WA
- •Engineered scalable ML pipelines for MEV analytics, improving real-time data processing by 30%.
- •Built a centralized data repository leveraging AWS Glue, S3, and Lambda, boosting data accuracy by 50%.
- •Implemented NLP-driven automation for text analysis, significantly enhancing data insights and efficiency.
Click to expand
Jan 2021 – June 2021
Apple
QA Data Science Intern
Seattle, WA
- •Developed automated Python applications, doubling data-processing efficiency.
- •Migrated databases from on-premises to cloud (SQL Vertica), improving accessibility and reducing errors by 30%.
- •Collaborated cross-functionally to align technical solutions with strategic business goals.
Click to expand
Featured Projects
These are some of the projects I’ve built to showcase my skills in AI, software development, and data engineering.
Predictive Maintenance Dashboard
ML-Powered Maintenance Forecasting
- Created a tool to predict when equipment might fail, helping reduce downtime
- Used Apache Kafka and Airflow to handle data smoothly
- Designed an easy-to-use dashboard with Streamlit to show predictions clearly
Apache Kafka
Python
AWS
Streamlit
Real-time Sentiment Analyzer
NLP-based Social Media Analytics
- Built an app that tracks and shows the mood of social media posts in real-time
- Used Google Cloud Functions and Pub/Sub to quickly analyze large volumes of posts.
- Implemented analysis using PyTorch and Hugging Face to accurately detect emotions.
Python
Google Cloud
MongoDB
PyTorch
Smart Recommender Platform
Hybrid Recommendation Engine
- Developed a recommendation engine to suggest content based on user preferences
- Built fast APIs using Node.js to deliver recommendations instantly
- Improved database performance using Redis to store frequently accessed data
Node.js
Redis
PostgreSQL
TensorFlow
Technical Expertise
I build practical solutions with AI, cloud tools, and data engineering—focusing on making things reliable and easy to use.
AI & Machine Learning
TensorFlow
- Built recommendation systems for apps and websites
- Made AI models faster and more accurate in real-world situations
PyTorch
- Created image-recognition models used in live apps
- mproved object detection for real-world use
Transformers
- Used language models like GPT and BERT for text analysis
- Built tools for understanding the tone and meaning of text
NLP
- Developed systems to analyze large amounts of text data quickly
- Created tools to measure sentiment and user opinions online.
Computer Vision
- Built image-recognition systems for automated quality checks
- Developed apps that analyze images quickly and reliably
Deep Learning
- Designed deep learning models for predicting user preferences
- Created solutions to forecast when equipment might fail
MLOps
- Set up systems to reliably deploy machine learning models
- Made sure models stayed accurate and stable after deployment
Cloud & Infrastructure
Google Cloud
- Leveraged Cloud Functions for serverless architecture
- Implemented Pub/Sub for real-time data streams
- Optimized cloud resource utilization
AWS
- Built scalable ML pipelines using AWS Glue
- Implemented serverless solutions with Lambda
- Optimized S3 data lake architecture
Serverless Architecture
- Designed cost-effective serverless solutions
- Implemented AWS Lambda functions
- Built Google Cloud Functions applications
Docker
- Containerized microservice applications
- Improved deployment efficiency
- Enhanced system resilience across projects
Kubernetes
- Managed containerized applications at scale
- Ensured high availability of services
- Optimized resource utilization
GitHub Actions
- Automated CI/CD workflows
- Streamlined deployment processes
- Implemented code quality checks
Jenkins
- Set up automated build pipelines
- Reduced deployment time
- Improved build reliability
Data Engineering
Python
- Primary language for ML/AI development
- Built data processing pipelines
- Developed automation solutions
SQL (Vertica, PostgreSQL)
- Designed complex database schemas
- Optimized query performance
- Built large-scale analytics systems
NoSQL (MongoDB, DynamoDB)
- Implemented document-based storage solutions
- Designed scalable data models
- Optimized database performance
Apache Airflow
- Automated complex ETL pipelines
- Monitored data transformation workflows
- Ensured reliable data ingestion
Apache Kafka
- Built real-time data streaming pipelines
- Processed high-throughput events
- Implemented event-driven analytics
ETL/ELT Pipelines
- Designed robust data pipelines
- Processed millions of records daily
- Maintained data quality standards
Data Modeling
- Created efficient data models
- Optimized for analytical performance
- Designed business domain schemas
Get in Touch
I'm always open to discussing new projects, collaborations, or career opportunities—let's connect!