Satish Chandra Gupta

Machine Learning Practitioner. I learn & write about doing ML in production. Cofounder: SlangLabs.in. Ex: Amazon, Microsoft Research.

Bangalore, India Joined on May 28, 2019 http://ML4Devs.com

Education

IIT Kanpur

Work

Cofounder at Slang Labs

Machine Learning, Microservices, Compilers, Program Analysis Tools.
Python, Scala, Java, C/C++.

Deep Learning, Automated Speech Recognition (ASR), Natural Language Processing (NLP).
Go, Rust, Kotlin.

17 posts published

0 comments written

28 tags followed

Satish Chandra Gupta

Sep 13 '22

MLOps: Machine Learning Lifecycle

#datascience #machinelearning #devops

2 min read

Satish Chandra Gupta

Sep 6 '22

Serverless Computing on AWS, Azure, and Google Cloud

#cloud #serverless #microservices #devops

1 min read

Satish Chandra Gupta

Jul 25 '22

SQL Joins: Inner, Left, Right, and Full

1 min read

Satish Chandra Gupta

Dec 29 '21

Software Architecture Design and Engineering at a Startup

#programming #design #architecture

1 min read

Satish Chandra Gupta

Dec 29 '21

Top 10 Programming Languages in 2022

#programming

2 min read

Satish Chandra Gupta

Dec 29 '21

Actionable Insights from 4 Types of Data Analytics

#bigdata #analytics #datascience #machinelearning

1 min read

Satish Chandra Gupta

Jun 8 '21

NoSQL vs. SQL: 12 Datastores for Your Application

#database #cloud #distributedsystems

1 min read

Satish Chandra Gupta

Dec 17 '20

Indic Language Stack for Voice Assistants and Conversational AI

3 min read

Satish Chandra Gupta

Oct 10 '20

12 Ways of Applying a Function to Python Pandas DataFrame

#python #datascience #machinelearning #dataengineering

1 min read

Satish Chandra Gupta

Apr 25 '20

Architecture for High-Throughput Low-Latency Big Data Pipeline on Cloud

#bigdata #analytics #cloud #architecture

1 min read

Satish Chandra Gupta

Apr 24 '20

Python Microservices, Part 4: API, Object, and Storage Data Models

#tutorial #python #microservices #programming

1 min read

Satish Chandra Gupta

Apr 23 '20

Python Microservices, Part 3: Effective Canonical Logging across Services

#tutorial #python #microservices #programming

1 min read

Satish Chandra Gupta

Apr 22 '20

Python Microservices, Part 2: Build and Test REST endpoints with Tornado

#tutorial #python #microservices #tornado

1 min read

Satish Chandra Gupta

Apr 21 '20

Python Microservices, Part 1: Choices, Key Concepts, and Project setup

#tutorial #python #microservices #programming

1 min read

Satish Chandra Gupta

Apr 20 '20

Speech Recognition with Python: Comparing 9 most prominent alternatives

#python #speechrecognition #voiceassistant #programming

1 min read

Satish Chandra Gupta

Apr 19 '20

How to build Python transcriber using Mozilla DeepSpeech

#python #speechrecognition #voiceassistant #deepspeech

1 min read

Satish Chandra Gupta

Apr 17 '20

An Engineer’s trek into Machine Learning

#beginners #developer #machinelearning #datascience

1 min read

DEV Community

Satish Chandra Gupta

Badges

Five Year Club

Writing Debut

Four Year Club

Three Year Club

Two Year Club

One Year Club

Skills/Languages

Currently learning

MLOps: Machine Learning Lifecycle

Serverless Computing on AWS, Azure, and Google Cloud

SQL Joins: Inner, Left, Right, and Full

Software Architecture Design and Engineering at a Startup

Top 10 Programming Languages in 2022

Actionable Insights from 4 Types of Data Analytics

NoSQL vs. SQL: 12 Datastores for Your Application

Indic Language Stack for Voice Assistants and Conversational AI

12 Ways of Applying a Function to Python Pandas DataFrame

Architecture for High-Throughput Low-Latency Big Data Pipeline on Cloud

Python Microservices, Part 4: API, Object, and Storage Data Models

Python Microservices, Part 3: Effective Canonical Logging across Services

Python Microservices, Part 2: Build and Test REST endpoints with Tornado

Python Microservices, Part 1: Choices, Key Concepts, and Project setup

Speech Recognition with Python: Comparing 9 most prominent alternatives

How to build Python transcriber using Mozilla DeepSpeech

An Engineer’s trek into Machine Learning