Look up to @arpit_bhayani sir 🚀
A reminder that great engineering careers are built step by step:
- Started as a Project Trainee at TCS Innovation Lab
- Joined Saba Software as a Software Associate
- Became a Teaching Assistant at IIIT Hyderabad
- Joined Practo as a Software Engineer → grew into Senior Software Engineer
- Worked at Amazon as SDE II
- Spent ~5 years at Unacademy
Technical Architect → Principal Engineer → Senior Engineering Manager → Director of Engineering
- Joined Google as Staff Software Engineer (Dataproc → Memorystore)
- Co-founded https://t.co/sUikxPTnCV (acquired by Mercor)
- Again Staff Software Engineer at Google (GCP Memorystore)
- Finally resigned from Google day before yesterday
From foundations → scale → leadership → reset.
Excited to see what’s next. 👀🔥
I cry with tears when I have to take an interview only to see the candidate fumble the most basic syntax.
I'm unsure if its AI but it feels like jr devs or devs in general aren't hands on coding much and I'm unsure how I feel about this.
An argument can be made that we don't need to memorise code anymore, but it just feels sleezy and boring talking to someone who cant code themselves.
#365CodeChallenge
Day 80/365 Still on Supervised algorithms , Looked into
random forest feature importance , trying to understand the relation between Gini Importance and SHAP
#MachineLearning#connect#AI
#365CodeChallenge
Day 79/365
Today I have implemented Random Forest from scracth, Tried on a dataset and also on a imbalanced dataset
Leetcode :
-1299
-345
#MachineLearning#connect#AI
#365CodeChallenge
Day 75/365
Continuing with ML, I've been predicting live stock prices using ML models for the past week.
This project revealed the limitations of traditional algorithms. This was like an experiment how different algorithms act upon noisy and high varience data
#365codechallenge
Day 74/365
Ongoing with ML ,Working with a dataset of blood sugar , trying to use classification and regression models and hyperparameter tuning also
#MachineLearning#connect#AI
#365codechallenge
Day 73/365
Ongoing with ML ,Looked into ways handle imbalanced data, HyperParameter Tuning : Grid Search , RandomSearchCV
Started project planning : Routing Recommendation System
#MachineLearning#connect#AI
#365codechallenge
Day 72/365
Ongoing with ML ,Worked on Adult income dataset using KNN, Implemented Knn, decison tree,svm ,logistic regression from scratch
leetcode :
-697
#MachineLearning#connect#AI
#365codechallenge
Day 68/365
Ongoing with ML , Looked into Multiple Linear Regression , Gradient Descent,
Implemented simple linear and multiple linear from scratch
#MachineLearning#connect#AI