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Abhishek Sharma

@abhisheksharma8551

AI/ML Engineer specializing in Deep Learning and Production Model Deployment

Delhi NCR, India

https://www.linkedin.com/in/abhishek-sharma-a02312128

Bobble.aiIndian Institute of Technology, Delhi

Abhishek Sharma is an experienced AI/ML Engineer with a proven track record in developing, testing, and deploying production-grade deep learning models. His expertise spans Natural Language Processing, Image Processing, and Audio Processing. He has experience leading teams and founding companies, focusing on advanced applications like Speech-to-text and GAN-based avatar generation.

Experience

Sr. AI Engineer

Bobble.ai

•Sep 2020 - Present•New Delhi

Developed AI Model using GAN to cartoonize image of user to generate identifiable user avatar and deployed the same in production on Bobble app. Researched & trained multiple Speech-to-text models & deployed the best performing hindi Speech-to-text model (with WER of 9%) in streaming inference mode. Researched & trained multiple Language Models (KenLM, ConvLM, BERT, TransformerLM) to work with Acoustic models and deployed KenLM in streaming inference mode. Leading a team to replicate the Speech-to-text framework to other languages.

CoFounder

Sheeko

•Mar 2019 - Sep 2020•New Delhi

Managing the operations team & ensuring seamless execution of influencer marketing campaigns.

CoFounder & CTO

Everta

•Sep 2018 - Mar 2019•Remote(based in London)

Worked to create an AI module to assist millennial mothers in decision making in health related issues & deploying the same over cloud.

Data Scientist

Farmguide

•Jun 2017 - Sep 2018•Gurugram

Created multiple ML modules to predict region wise harvest for major crops using the past harvest & weather data and satellite imagery. Maintained data warehouse on Redshift & PostgreSQL.

Education

Indian Institute of Technology, Delhi

Integrated M.Tech

Mathematics & Computing

Jan 2009 - Jan 2014•Grade: 7.39/10

Skills

Machine Learning
Deep Learning
Natural Language Processing
Image Processing
Audio Processing
Python
PyTorch
Tensorflow
AWS
GCP
SQL
Docker