Location: Goa, India (UTC +05:30)
Remote: Yes
Willing to relocate: No. Intermittent travel is possible though.
Technologies: Python, Go, JavaScript, C++ - Backend, Frontend, SysAdmin, DevOps, Microcontrollers
Résumé/CV: https://sidverma.io/resume
Email: me[@]sidverma.io
10+ years being a full-stack generalist. More of a developer/product specialist than a team manager.
Most of my recent work has been working on Django and Flask based systems, upgrading them and improving resilience and cost-efficiency. Also have extensive experience building Go and Nodejs-based-servers, and a ton of frontend frameworks from jQuery -> Meteor -> Angular -> Vue -> React -> Svelte. Big fan of automated pipelines that work well.
Also, slightly tangential – I have been having fun working in media-adjacent contracts recently (GLSL, TouchDesigner, ESP32s), so if you're looking for solutions to for generative art or installations, feel free to email me too.
Hi, OP here - your country is amazing and I'd love to visit beyond the major cities.
This was mostly a ski trip and my first time here, so I barely got a chance to get out of town - but I do intend to come back next winter and go visit some friends in the western region :)
Haha that's fair. Though I wouldn't say I need to, but I like to. These are the few times I get to work with my hands, and having some accountability of an exchange helps with consistency and discipline. But YMMV of course.
Tbf that was exactly my point. An adult might use 'inference' and 'reasoning' to ask clarification, or go with an internal logic of their choosing.
ChatGPT here went with a lexigraphical order in Python for some reason, and then proceeded to make false statements from false observations, while also defying its own internal logic.
"six" > "ten" is true because "six" comes after "ten" alphabetically.
No.
"ten" > "seven" is false because "ten" comes before "seven" alphabetically.
No.
From what I understand of LLMs (which - I admit - is not very much), logical reasoning isn't a property of LLMs, unlike information retrieval. I'm sure this problem can be solved at some point, but a good solution would need development of many more kinds of inference and logic engines than there are today.
In my experience, if you confuse an LLM by deviating from the the "expected", then all the shims of logic seem to disappear, and it goes into hallucination mode.
It started with me trying to get weather stats for my city, to give proof to the nagging thought 'Has it really gotten this hotter in the last X years?'
Now its aiming to be a project where one can visualize historical weather data for any place with a lot of stats and trendlines
Still in active development - right now the visualization only has my town in it.
> if running NPM to install dependencies on pod startup is slow
Loading the AWS SDK via `require` was slow, not installing. As sibling comment says - collapsing different SDKs into one helped reduce loading times of the many SDKs.
That'd be 'ProRes RAW', which I don't think an iPhone can shoot in. Log is still processed video, just graded in a flatter profile so you can do more degrees of adjustments in different dimensions like color and exposure.
RAW footage, can barely be called video. Those files don't even have any White Balance and ISO data baked in, just raw data from the sensor, providing even more amount of control in post production, at the expense of working with extremely large files.
I am apparently in the minority here who prefers faceID, mostly because how transparent it is UX-wise. I don't have to do an additional 'Authenticate' press when opening protected apps, instead I pass through the security while the app loading animation completes.
Though, it has been hell now with using face masks for the past few weeks, where I have to spend 5 seconds on every auth-screen, where it tries faceID twice and then gives the option of PIN authentication.
10+ years being a full-stack generalist. More of a developer/product specialist than a team manager.
Most of my recent work has been working on Django and Flask based systems, upgrading them and improving resilience and cost-efficiency. Also have extensive experience building Go and Nodejs-based-servers, and a ton of frontend frameworks from jQuery -> Meteor -> Angular -> Vue -> React -> Svelte. Big fan of automated pipelines that work well.
Also, slightly tangential – I have been having fun working in media-adjacent contracts recently (GLSL, TouchDesigner, ESP32s), so if you're looking for solutions to for generative art or installations, feel free to email me too.