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resume.json
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{
"basics": {
"name": "Anish Doshi",
"label": "Machine Learning Engineer",
"email": "[email protected]",
"profiles": [
{
"network": "LinkedIn",
"username": "anish-doshi-45a81271",
"url": "https://www.linkedin.com/in/anish-doshi-45a81271"
},
{
"network": "GitHub",
"username": "anishpdoshi",
"url": "https://github.com/anishpdoshi"
}
]
},
"education": [
{
"institution": "UC Berkeley",
"area": "Electrical Engineering and Computer Science",
"studyType": "MEng",
"startDate": "2021-08",
"endDate": "2022-05",
"courses": [
"Program Synthesis",
"NLP",
"Formal Methods",
"Convex Optimization",
"Video ML",
"Human-Centered Programming"
]
},
{
"institution": "UC Berkeley",
"area": "Electrical Engineering and Computer Science",
"studyType": "B.S.",
"startDate": "2013-08",
"endDate": "2017-05",
"courses": [
"Machine Learning",
"Algorithms",
"Compilers",
"Deep Learning",
"Operating Systems",
"Probability"
]
}
],
"work": [
{
"company": "Meta",
"position": "Senior Machine Learning Engineer",
"startDate": "2022-10",
"summary": "Designed and tested variations of multi-arm bandit algorithms, embedding based song retrieval, and user-level targeting to improve the creative optimization of songs. Launched a controllable image layout positioning algorithm with OpenCV/torch/C++."
},
{
"company": "UC Berkeley",
"position": "Machine Learning Engineer",
"startDate": "2020-07",
"endDate": "2021-07",
"summary": "Developed an interactive neural SQL synthesis platform and a novel approach to oracle guided synthesis using symbolic regression for program synthesis problems."
},
{
"company": "Apple",
"position": "Machine Learning Engineer",
"startDate": "2020-07",
"endDate": "2021-07",
"summary": "Designed and developed a credit card transaction tagging system for Apple Wallet, significantly reducing the memory footprint for Wallet's intelligence framework."
},
{
"company": "Trifacta",
"position": "Senior Machine Learning Engineer",
"startDate": "2019-10",
"endDate": "2022-03",
"summary": "Tech lead for ML powered data wrangling. Led a team in developing a programming by example feature and a collaborative recommendation system for data transformation programs."
},
{
"company": "Trifacta",
"position": "Machine Learning Engineer II",
"startDate": "2018-07",
"endDate": "2019-10",
"summary": "Lead engineer on RapidTarget, an interactive tool to align table schemas using dynamic programming algorithms."
},
{
"company": "Trifacta",
"position": "Software Engineer I",
"startDate": "2017-07",
"endDate": "2018-07",
"summary": "Built a pipeline to log user interactions, import them into a Python backend, and featurize them for accuracy and feature explainability."
}
],
"skills": [
{
"name": "Machine Learning",
"keywords": ["Full Stack Engineering", "Data Visualization", "Python", "JS", "Java", "Scala", "Swift", "C++", "Unix", "Git", "Docker", "Jupyter", "Jenkins CI", "AWS", "VSCode", "PyTorch", "Tensorflow", "sklearn", "NumPy", "pandas", "matplotlib", "seaborn", "PostgreSQL", "SQLite3", "Spark"]
}
],
"volunteer": [
{
"organization": "Crisis Text Line",
"position": "Crisis Counselor",
"startDate": "2020-05",
"summary": "Provided free, 24/7, text-based mental health support for people in need."
},
{
"organization": "Young Jains of America",
"position": "Director of Information Technology",
"startDate": "2017-09",
"endDate": "2018-09",
"summary": "Led the development of the website, registration flow, and official mobile app."
}
],
"publications": [
{
"name": "Transaction Tags for Enhanced Searching",
"publisher": "Patent",
"releaseDate": "2023",
"patentNumber": "20230095944"
},
{
"name": "Transaction Tags for Enhanced Suggestions",
"publisher": "Patent",
"releaseDate": "2023",
"patentNumber": "20230101449"
},
{
"name": "Generation of Transaction Tags for Enhanced Searching",
"publisher": "Patent",
"releaseDate": "2023",
"patentNumber": "20230093873"
}
],
"projects": [
{
"name": "Part-of-Speech Weighted Language Modeling",
"description": "Exploratory project on improving language models with POS tags.",
"highlights": [
"Implemented with PyTorch",
"Included part-of-speech tag model"
],
"keywords": ["LSTM", "POS tag", "PyTorch"],
"url": "https://github.com/anishpdoshi/pos-weighted-text-generation"
},
{
"name": "RL Based Circle The Cat Solver",
"description": "Used deep Q-Learning to solve a discrete game called circle the cat.",
"highlights": [
"Implemented in React.js",
"Used REINFORCE.js for model analysis"
],
"keywords": ["Deep Q-Learning", "React.js", "REINFORCE.js"],
"url": "https://github.com/anishpdoshi/circle_the_cat_solver"
}
]
}