Ruchit Doshi

Member of Technical Staff, Machine Learning @Syntiant Corp.

San Francisco, CA, US
EMAILS
r•••••@syntiant.com
MOBILE NUMBERS
+14•••••••11

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WORK HISTORY

Nov 2021 — Present

Member of Technical Staff, Machine Learning @Syntiant Corp.

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Irvine, CA, US

Researching on a novel AI solution for voice cloning in Mandarin and English language to generate Synthetic data using Text to speech models, reducing cost of outsourcing data collection by 20%• Designing a state-of-the-art framework for modeling and training techniques to improve the computation efficiency by 18% for speaker verification project• Collaborating with a cross-disciplinary team to build sustainable production models for Key word detection such as OK-GOOGLE, HELLO-BOAT, and ALEXA with state-of-the-art low FAR and FRR

EDUCATION

2019 — 2021

Carnegie Mellon University

Master of Science - MS , Mechanical Engineering

2014 — 2018

Dwarkadas J. Sanghvi College of Engineering

Bachelor's degree, Mechanical Engineering

2020 — 2020

Udacity

Data Science Nanodegree, Data Science

N/A

Carnegie Mellon University

Master of Science - MS, Mechanical Engineering - Research Machine Learning

ABOUT RUCHIT DOSHI

I am an aspiring Machine Learning/Data Scientist candidate who is passionate to analyze, visualize data, and build Machine Learning models. My latest research projects include building a supervised learning model for classifying messages during Disasters using ETL and ML pipelines. Currently, I am working on building a \'no-code\' platform that includes Machine learning, Deep learning models, and featurization techniques. Looking for full-time opportunities from May 2021. Programming languages: Python, SQL, C++Libraries | Frameworks | Databases: Scikit-Learn, Pandas, PyTorch, Keras, NumPy, Matplotlib, Seaborn, NLTK, Spark, MySQLVersion Control | Operating System: GitBash, Linux, Windows Software: Tableau, Microsoft OfficeTechniques: Deep Learning, Exploratory Analysis, Data Visualization, Natural Language Processing Pipeline, Machine Learning Pipeline, Statistical Analysis, Predictive Modelling, Recommendation Systems, Data Wrangling, ETL pipelines, Unsupervised Learning, A/B testing, Hyper-parameter tuning, Data Mining, Hypothesis testing Github: https://github.com/RuchitDoshi

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