Omkar

Day 13 👀🧑‍💻 I started Javascript today , and it is easy . Maybe because I already have some knowledge of python , but so far its good , it will be completed in 3 days.also posted thenumber guessing game project on GitHub today. #100DaysOfCode #JavaScript #LearningInPublic #Python

@droidbuilds which distro would you recommend to someone who have no idea about linux ?

Name a Linux distro better than Ubuntu. I'll wait.

Leetcode Palindrome question , I tried solving that question by using while loop but it didnt worked I got Timeout error , but I tried doing that in my VS Code and it worked , I didn't knew theres time limit on execution of code in Leetcode , New discovery !! #LeetCode #Python

I just solved 2 beginner level questions on Leetcode and it was frustrating yet fun💥🤯 Two sums and Palindrome it took me 3 hours to solve these 2 question. I know the answers might be too vague or bad , End of this day,Gn! #LeetCode #Python #LearnInPublic #Coding #100DaysOfCode

How I felt after pushing my project to GitHub for the first time 🕺😁 . . (I am a beginner and pushing 2 projects in a row without failing is a big win for me ) #Beginner #Python #Coding #GitHub #LearningInPublic

Day12 of learning Python 🐍👨‍💻👀 I made a simple project which tells you how many notes do you need for a particular amount . and pushed this project on Github as well . #Python #Coding #Programming #100DaysOfCode #BeginnerProject #PythonProjects #LearnToCode #LearnInPublic

Day 11 of learning Python🐍👀 Finally I completed the tutorial today ,Now its time to build some projects.I also learned Github today, created my first repository ,did my first commit ,pushed calculator on it, Still there's a long way ahead #Python #LearnInPublic #100DaysOfCode

I know this might be a very basic or simple thing for experienced developers, but for me it's a new discovery and I am genuinely enjoying it.

I just learned about making separate window using PyQt5, its so cool , I built everything in VS code terminal but now I can finally put my code into a body (Window). I am Excited to see what's next. #Python #LearnInPublic #100DaysOfCode

Day 9 of learning Python 🐍 Spent the whole time trying to figure out OOP , it was so much confusing at first and still it is but I'm slowly getting a hold of it. #Python #100DaysOfCode #LearnInPublic

@PythonPr [2,4]

Python Quiz: What is the output ?

Learning python day 8 🐍 started learning Object oriented programming . #Python #100DaysOfCode #LearnInPublic

@shivi1026 calculator !

What was your first coding project?

@shivi1026 Never Lie by Freida McFadden .

Which book are you reading currently?

@Its_lakshya_ai hi 🙋‍♂️

Starting today, I'm officially beginning my Machine Learning journey in public! I'll be sharing what I learn, build, and struggle with along the way Posting my progress publicly will help me stay consistent and accountable!! Let's see where consistency takes me. If you're learning ML, AI, Data Science, or already working in the field, let's connect! 👋 Let's learn and grow together. 🤝✨ #BuildInPublic #MachineLearning #AI

I tried making an encryption-decryption program by watching the tutorial only once and made the rest of it just based on memory,but the code is not working properly ,AI is not helping,it tends to encrypt the already encrypted message .Can someone help me with this !🐍🆘😅 #Python

I made a banking program in python 2 days ago .🐍💸 #Python #LearnToCode #buildinpublic

Made a Rock, Paper, Scissors game in python 🐍! . . 🪨📃✂️

Found a tutorial on Youtube and made this ! 🍊🔥

@suraj_sharma14 thanks for the roadmap !

If I had 6 months to become an AI/ML Engineer. I'd do this. Stage 1 : Python + Data Engineering pandas, numpy, SQL, Parquet/Arrow, API ingestion, data validation, pipeline orchestration. Stage 2 : ML Fundamentals + Statistics Linear algebra, probability, bias/variance, supervised/unsupervised learning, evaluation metrics. Stage 3 : Deep Learning + Frameworks PyTorch, training loops, backprop, CNNs/Transformers, optimizers, learning rate schedulers. Stage 4 : Feature Stores + Pipelines Feature engineering, preprocessing, data versioning, DVC, Airflow/Prefect, dbt integration. Stage 5 : Experiment Tracking + Tuning MLflow/Weights & Biases, hyperparameter optimization, cross-validation, reproducibility, model registry. Stage 6 : Model Deployment + Serving FastAPI, Docker, model registries, batch vs real-time inference, REST/gRPC endpoints, scaling. Stage 7 : LLM Integration + GenAI RAG pipelines, fine-tuning (LoRA/QLoRA), prompt engineering, embedding models, vector databases. Stage 8 : MLOps + CI/CD GitHub Actions, automated testing, model validation gates, continuous training, deployment strategies. Stage 9 : Monitoring + Drift Detection Data/concept drift, performance metrics, structured logging, alerting, automated retraining triggers. Stage 10 : Infrastructure + Cloud Scale AWS/GCP ML stacks, distributed training, GPU orchestration, Kubernetes, autoscaling, cost tracking. Stage 11 : Open Source + Portfolio Ship end-to-end ML systems publicly, write architecture docs, record demos, publish benchmarks. Stage 12 : Apply AI/ML Engineer, MLOps Engineer, AI Infrastructure Engineer, Data Science Engineering roles. Most people stay stuck watching tutorials. Builders get hired.