Engineering AI Systems That Actually Ship

Engineering AI Systems That Actually Ship

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SaaS at a Junction Point: What we learned building AI in 2025

SaaS at a Junction Point: What we learned building AI in 2025

2025 has been an eventful year for most businesses. Tariff hikes, market volatility, renewed bubble talk—and, inevitably, everything AI. This year, we worked across mortgage, retail, real estate, and marketing—but the common thread wasn’t the industry, it was the economics. We built workflow automation for marketing agencies

Making Serverless Inference on SageMaker for a multi-input HuggingFace model

Hola! It has been a while since we dove into technical posts. We have been very busy building several deep-learning projects in the mortgage and call center industries, ranging from analyzing bank statements to analyzing human voices. One of the recent projects called for making inferences with AWS SageMaker’s

Keras Data Generator for Images of Different Dimensions

When using CNN, we often have to provide the dimension of images ahead of time. Note that I used singular, not plural “Dimensions”. That’s because most of the time, it requires us to input tensors of the same dimension. However, we have a little bit of a problem here.

Tensorflow Keras LSTM source code line-by-line explained

Tensorflow Keras LSTM source code line-by-line explained

In this blog, I will go through line by line of Keras' LSTM source code to explain how the tensor computations work.

What are inside sales emails? Using machine learning to understand them.

machine learning

What are inside sales emails? Using machine learning to understand them.

In this blog, we will talk about how to use two different machine learning techniques (LDA and Word2Vec) to analyze and query the topics in sales emails (or all emails). I will also share the code (<50 lines) for you to start querying your emails immediately. You don'

Applying Machine Learning in Sales Enablement and Sales Operations [Part 3]

Applying Machine Learning in Sales Enablement and Sales Operations [Part 3]

In the previous blog, I talked about enhancing Sales Enablement with machine learning. In this blog, I will go into some examples of using machine learning to improve sales operations. Machine Learning in Sales Operations Sales operations, despite its name, has more focus on business intelligence and data analytics. Back

Applying Machine Learning in Sales Enablement and Sales Operations [Part 2]

revenue opeartions

Applying Machine Learning in Sales Enablement and Sales Operations [Part 2]

In this post, let's talk about how Softmax Data leveraged machine learning to improve sales enablement for some of our clients.

Applying Machine Learning in Sales Enablement and Sales Operations [Part 1]

revenue opeartions

Applying Machine Learning in Sales Enablement and Sales Operations [Part 1]

How Softmax Data applied learning in improving Sales Enablement and Sales Operations for some of our clients

CRM Cleaning: Merging Salesforce Objects using SOAP API (with a Python Focus)

machine learning

CRM Cleaning: Merging Salesforce Objects using SOAP API (with a Python Focus)

We recently helped a client to clean up their Salesforce CRM. First, we made our proprietary solution to find all of the duplicate records that would pass the client’s criteria and then had to use Salesforce native merge functionality to remove the duplicates. By doing the deduplication process, we

Brutal-force Migration of Postgres from Azure to AWS (or vice versa)

Brutal-force Migration of Postgres from Azure to AWS (or vice versa)

In this short blog post, I want to show how to move the entire Postgres from one cloud server to another with brutal force.

What is machine learning (ML)? How about AI? Why now?

machine learning

What is machine learning (ML)? How about AI? Why now?

“We are drowning in information and starving for knowledge.” — John Naisbitt. The Era of Big Data We have entered the era of big data. For example, there are about 60 trillion web pages; 300 hours of video are uploaded to YouTube every minute, amounting to 10 years of content every

Multi-input Seq2Seq generation with Keras and Talos

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Multi-input Seq2Seq generation with Keras and Talos

In this technical blog, I will talk about a common NLP problem: Seq2Seq, where we use one sequence to generate another sequence. Add to it, I also illustrate how to use Talos to automatically fine tune the hyperparameters, a daunting task for beginners.

Words According to r/Vancouver [Part I], word2vec

machine learning

Words According to r/Vancouver [Part I], word2vec

Using word2vec to analyze the reddit comments on r/vancouver