Meet Soloman Weng, one of intelliHR’s senior Software Engineers. Soloman’s love of mathematics and art drew him into a career as a problem-solving software engineer.
A: I’ve been in the software engineering field for almost eight years. I enjoy writing software and I enjoy problem solving. I’ve been working mostly with analytics and the data-related field. My role in intelliHR is a senior developer, working mostly on analytics.
A: I chose software engineering as I always enjoyed the problem-solving part and also because the way software development makes you feel. I enjoy the feeling of accomplishment of implementing something and then seeing the results. I like getting something done quickly and then receiving the feedback and the feeling of completion.
A: Yes, I’ve always been interested in computers. Growing up the two subjects I enjoyed most were mathematics and drawing/art. I think this combination led to my career as a software engineer. There is the mathematics element in software, but there is also the design and drawing elements too.
A: I really like the culture at intelliHR. I think the company is very different from others, as I’m able to communicate with everyone without any hesitation. Especially as I can communicate directly to the CEO and the CTO all the time, which gives me a lot of freedom and a lot of empowerment which is important in my job.
Being able to communicate with all levels gives a lot of room for innovation. At a lot of other companies, where there is a lot of hierarchy, you find you limit yourself because there are too many levels to go through if you want to do something new or innovative.
At intelliHR, the structure is flatter and the CEO and CTO are very friendly and helpful. They are also willing to listen and communicate with you about what you’re trying to achieve and then they support you and it’s just great. I’ve definitely been able to be innovative at intelliHR, especially in the analytics part.
A: I’m really excited about the product we’re continuing to develop, being a part of this and seeing how it develops is really great. We are currently utilising natural language processing to extract key information from our users’ text inputs, and it helps us to build our analytics product that enables our customers to understand easily what their employees are thinking/interested about.
In the new sentiment analysis feature, we collect text data from various sources of customer’s business, and in the initial phase these are classified into either positive and negative categories. Additionally, each text data is attached with a sentiment score (from -1 to 1) that provides an indication on how strong the sentiment is. By aggregating these classified sentiment results, we can provide a bird’s-eye view to our customers on how positive and negative their employees are with the text they provided.
Sentiment analysis is a hard problem and it is difficult to achieve perfect accuracy. However, we are continuously improving our sentiment classifier so our sentiment analysis feature will provide our customer the most accurate result if possible. We’d also love our customers to provide us feedback on the feature, so the feature can be better improved.
I really enjoy this side of work, because it is really fun and challenging. It’s really going to help our customers and it is also where the satisfaction and achievement is coming from.
Look out for our next instalment of the intellistars series where we meet the people behind intelliHR.
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