Published: Wed 10 August 2022
By Prasanna Kulkarni
In journal .
UNO
What are the projects you are working on now?
1.
- portal cos ts infrastructure
- monitoring , latency
- elixir , web programming language
2.
- building api to turn web request int o sql queries - makes sense and is fast enough
- little things like django tarrot cards , react
What in computer science are you excited about now?
1.
- machine learning is packageable , its go ing to increase science
- more about computers helping them , automate the work automated
What are the habits of effective programmers according to you?
1.
- wring documentation , write something down as exp erience
- read ing code , open and close d
- read other projects related to your projects
2.
- go od habits while coding , pylint and stuff
- testing
- naming things well
- make code understandable instead of using cool things
- make sure your pos ture
- break down int o smaller manageable tasks
Big projects and learning from them
1.
- working with others , wanting and places to help ,
2.
- dont get stuck
- int egration
- different programmers can use their to ols
- communication with non technical people
What was your career journey?
1.
- data bses , 7 - 8 , SQL , looked at it from an engineer perspective
- program for fun
- its nice beciause to find things out
- supercomputer , university in Quebec
- end ed up lab technician
- then also in low level c
- microservices
- big data
- telephony , because code reviews , slower
- on call , manage exp erience
2.
- studies software in school
- worked at places that were small
- exp osed to different things
- pamadaro timer
-
What are the skills you are trying to work on? Could be anything.. could be related to management
1.
product manger mentor
conference
ML ops course
Mentoring
2 - management
- proactive management
- guessing how long things are going to take
- i have way to deploy on aws, do it all - its all manual
- general cloud infrastructure - kubernetes
- leetcode
-
Tips for machine learning
1.
probablity course
good understanding of statistics, really good
linear regression, logistic regression
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