How’s my home screen looks As much as clean

NeGD is hiring for: 1.⁠ ⁠Software Developer / Sr. Developer 2.⁠ ⁠Software Tester Download from the official websites of NeGD or DIC: dic.gov.in | negd.gov.in Eligible candidates may apply ONLINE at: ora.digitalindiacorporation.… #hiring #DigitalIndia

Do I know any full-stack developers (TypeScript backend heavy) who would be interested in joining us at @fermionapp I really do not want to spend a lot of time interviewing. India. ₹25L-30L/year (without esops included), don't mind going higher if you're really good

Going with trend

How i got 2 US remote internships and one full time offer of 100k USD. Thread My story 1/n Everything started 2y ago when i started coding seriously Used to make dumb projects but used to make them a lot to learn small things

here is the detailed post, how i got selected as an ml engineer: so this whole thing started with a viral post i wrote before, which caught attention of a senior professional he reached me out to me on twitter(and also found me on LinkedIn). He invited me to interview for his startup, and that’s how it all began. so this whole interview consists of 3 Rounds Round 1 (1 hr - 1: 30 hr): ml models - their workings, principles and maths intuition behind model core maths topics - vectors, linear algebra, correlation, bayes theorm, probability and properties situational question - 'how you will teach ml to first year clg students ?' general programming questions - python, oops, java then we moved to dl - perceptron, activation functions and also the selection of activation function on different use cases, working of CNNs - ocr, pytesseract, icr mp4 data decryption, RNNs, LSTMs then we moved to nlp - text preprocessing, bag of words, word to vectors, language models (bigram, trigram) then we deep dive into transformers - full detailed explanation of transformers- encoder, decoder working, QKV vectors, normalization, masking difference between LM and transformers, BLEU score, also he was doing cross questions which i was explaining them in positive way then we discussed about my projects - discussed every project what, why, how ? so many cross questions like why you did this, instead of we can have done this ? then previous working experience, iit reasearch, and abt my college studies then we moved to vector databases - detailed questions like cosine similarity and different vector db platforms then we went to agentic ai - agents, frameworks and langchain, and rag pipelines, here i found some difficulty but it was okay interviewer was helping me too. this was Round 1 and he told me to note some things for round 2 - mcp protocols, cloud technologies, agents, and adk platform so after 2 - 3 days, i reverted back to him and said that i am ready for Round 2 Round 2 (30 - 40mins): here we started with again vector databases, agents and llms vector databases - dimensions, properties, how to connect them agents - detailed questions like wht, how , why ? google agent developement kit - types of agents, databases, model context protocols, llm agents, function tools - built in tools , agent tools, workflow of agents, db how to connect to agents, multi agents, sequential agents, loop agents, parallel agents, session - state - and runners, types of sessions - memory, db, vertex ai then he gave me an assignment to make a bot combine all things like ml, nlp. agents this was Round 2 then after 4 to 5 days i again reverted back to him and i said i am ready for Round 3 Round 3 - demo of that bot full explanation of that project - wht technologies used, why used, and use cases of each agents showed them the full working of the project and so many cross questions they asked, i explained them each of them clearly and softly also i was running that whole project on their prompt whatever they were saying - so i already made a robust bot and it performed well and this was the last round so ceo was also there, he asked me some questions, about my learning, my past experiences, and my current studies yes this was the Round 3 after 2 days i got the selection letter SELECTED as an ml engineer !!

Today I had my interview as a Backend and Infra engineer at a video streaming startup from singapore - given the time in our call which was 4 hrs long, we built an analytics engine with go, PostgreSQL, Grafana and choose claude for the frontend

Past month be like: Me: Full Stack Dev Client: Cool, now just integrate Razorpay. Also client (next day): Actually use Stripe. Oh wait, we need PayPal too. Also refunds. And webhooks. And magic. At this point, I don’t code apps — I collect payment gateways like Pokémon. 💳⚔️

flick-ai.fardeen.tech may be best in ui

Here's the backend developer role assignment for fermion (link below)

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