Data Scientist,
Deep Learning Engineer, &
Software Engineer
Vatsal Saglani
Data Scientist
Leveraging the advances in the field of Deep Learning and applying them to solve real-world problems.
Currently, working with Attention Transformers for Text & Token Classification, Question Answering, Text Generation, Recommendation Systems, Image Captioning, Classification and Segmentation.
Also into Full-Stack web & mobile development using React. My go-to React framework is NextJS. PostgresSQL, MySQL, and MongoDB are my preferred database.
Being a Pythonista, I develop microservices using FastAPI or Flask. Serverless Lambda and Fargate are my preferred deployment strategies. I prefer Lambda over Fargate because of the generous free-tier credits.
Featured Posts
Part 1 - Deploying FastAPI application on AWS Lambda
6 min read
Part 2 - DynamoDB with AWS Lambda and FastAPI with Github Actions integration
8 min read
My Expertise
Data Science & Research
PyTorch
Numpy
HuggingFace
Pandas
Scikit-Learn
OpenCV
JAX
Computer Vision
NLP
Recommendation System
Backend & Microservices
FastAPI
Flask
MySQL
PostgresSQL
NodeJS
MongoDB
Prisma
Cloud & Site Reliability
EC2
AWS Lambda
AWS Fargate
Docker
Azure Functions
CI/CD
Programming Languages & Frameworks
Python
Javascript
ReactJS
NextJS
React Native
Rust