Rahul Gupta is a pragmatic founder and machine learning engineer with 11 years of experience building production ML systems, most recently leading his firm Datamonk to help SMBs digitally transform. An IIT Kanpur-trained mathematician and ex-Cruise engineer, he has shipped ML solutions that improved AV perception metrics by 30% and driven campaign-optimization and customer-segmentation platforms using Ruby on Rails, Go, Python and Spark. He blends hands-on backend work (notably integrating caching and email threading improvements into the Lobsters project) with product-minded engineering—able to move prototypes into monitored, scalable deployments. Rahul’s background spans quantitative research, computer vision search, and large-scale data pipelines, giving him a rare mix of math rigor and practical systems engineering. Based in Jaipur, he’s known as a “Get It Done Guy” who mentors engineers and converts complex requirements into reliable, revenue-generating features.
11 years of coding experience
10 years of employment as a software developer
Indian Institute of Technology Kanpur
M.Sc.(Int.) Math courses, M.Sc.(Int.) Math courses at Department of Mathematics and Statistics, IIT Kanpur
Computing-focused community centered around link aggregation and discussion
Role in this project:
Back-end Developer
Contributions:18 reviews, 12 PRs, 56 comments in 1 month
Contributions summary:Rahul's contributions primarily revolve around integrating and configuring the `solid_cache` gem, a caching solution, within the Lobsters application. This involved modifying database schemas, updating environment configurations (development and production), and adapting Rack Attack settings to leverage the new cache store. Furthermore, the user made improvements to the email reply functionality, introducing email threading by setting correct headers and fixing email message formats. Additionally, the user refactored the email reply mailer.
Contributions:1 push, 1 branch in 4 years 5 months
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