I’m Anubhab, a backend and AI engineer and published researcher. I build the web things your business needs, and I back the words with real data.
Five services, one person. You deal with the same engineer, researcher and writer from first call to launch.
A focused page that explains one offer clearly and gives visitors one obvious next step. I write the copy, design the layout and build it in plain HTML, CSS and JavaScript, so it loads fast and you aren’t locked into a platform. Search metadata, social previews and structured data come included.
Surveys built around the decision you need to make. I help you phrase questions that don’t lead people, build the form, collect responses, and turn the results into a short report you can act on. Open-ended answers get text analysis, so free-form feedback becomes themes instead of a pile of comments.
Backends, APIs, automations and AI features built to your specification and deployed properly. If your team repeats a task by hand every week, or you want search, chat or voice on top of your own data, this is where I help.
Articles that earn their place: a clear argument, a structure people can skim, and the technical accuracy a developer or buyer expects. Good for launches, thought leadership, and search traffic that converts.
Original analysis turned into a story people share. I collect the data, clean it, analyse it, make the charts, and write it up in plain language, with the method and its limits stated openly so readers trust it. Original findings are also what earns links from other sites.
Three and a half years at Textify Analytics, a remote AI company, growing from intern to SDE-2.
I built the core of an app that helps people plan trips together. Users create a trip from scratch or an email, join a friend’s trip with a six-digit code, or clone a popular itinerary. Over 200 trips were created on the endpoints I wrote.
I built a search engine that finds the right chart among more than 3 million, from a plain-language query. Behind it sits an automated pipeline that collects, reads and labels the charts, which I redesigned to run asynchronously and halve its cost.
A platform where people build small AI apps without code, used by more than 20,000 people. I sped up the homepage with caching, rebuilt app execution so one endpoint serves every app, and made answers stream to Pro users word by word, cutting the wait for the first words by an estimated 60%.
I work with researchers at Bell Labs on how people talk about their inner lives online. My first project mapped what people dream about and was presented at the IC2S2 conference in Copenhagen. The current one studies how people engage with health discussions on social media.
topics grouped into themes
Dream content discovery from social media using natural language processing. We analysed 44,213 dream reports, the most extensive collection of dream topics to date. Read the paper
I analysed 10,137 posts by 5,810 users in r/developersIndia to see which technologies and companies come up most. The article explains the method, the charts and the limits in plain language.
Share of posts that mention at least one technology or company, January 2020 to December 2022. Python also leads languages at 37.5%.
B.Tech in Computer Science and Engineering, Heritage Institute of Technology, Kolkata, 2018 to 2022. Coursework in machine learning, natural language processing, statistics and linear algebra.
Tell me what you’re trying to launch, learn or fix, and I’ll reply with how I’d approach it.
anubhabdas.dev@gmail.com