# Nithish B. > ML @ Meta Location: San Francisco Bay Area, United States Profile: https://flows.cv/nithish Experienced Machine Learning Engineer with hands-on expertise in developing machine-learning solutions that drive substantial business value. I am passionate about staying abreast of the latest advancements in data science, including deep learning, business analytics, and big data platforms. • Programming Languages and Libraries: Python(NumPy, pandas, TesorFlow, PyTorch, Keras, PySpark, scikit-learn, XGBoost), SQL, Scala, Spark, R, C. • ML Techniques: Linear Regression, Logistic Regression, Predictive Modeling, Random Forests, Gradient Boosting, Ensemble Techniques, Convolutional Neural Networks, Recurrent Neural Networks, Cluster Analysis, and Principal Component Analysis (PCA). • Statistical Techniques: correlation analysis, linear & non-linear regression, sampling & resampling methods • Data Visualization Tools: Matplotlib, seaborn, ggplot2, tableau • Other skills: Probability, statistics, hypothesis testing, A/B testing, relational databases, Linux, GitHub, Agile, Natural Language Processing (NLP), and Image Processing. • Projects: https://github.com/nithish08 Reach out to me at nithish.bhu@gmail.com ## Work Experience ### Software Engineer (ML) @ Meta Jan 2024 – Present | Menlo Park, California, United States AI Infra | LLMs | PyTorch ### Senior Machine Learning Engineer @ Chartboost Jan 2022 – Jan 2024 | San Francisco Bay Area - Built large-scale ML models for mobile advertising, leveraging TensorFlow and Spark ML. - Built and deployed custom DNN architectures based on Deep Cross Networks. - Led the development of batch processing techniques in TensorFlow, optimizing deep neural network (DNN) inference costs and driving $2 million in annual cost savings for the organization. - Improved DNN model performance using clustering techniques like Glove, and asymmetric loss functions. - Executed A/B tests with significant business impact, achieving a 5% uplift in user acquisition - Spearheaded DNN model deployment, ensuring rigorous validation and fostering interdisciplinary collaboration for seamless integration into production. - Recruited and mentored high-performing data science teams across global operations. ### Data Scientist @ Big Data Federation, Inc. Jan 2020 – Jan 2021 | San Jose, California, United States • Anomaly Detection and Time Series Forecasting with Deep Learning and statistical methods. ### Data Science Intern @ Pacific Gas and Electric Company Jan 2019 – Jan 2020 | San Francisco Bay Area • Saved $200k in compliance costs and 1,000 work hours by building an Image classification model to detect defects in power grid lines using drone imagery. • Built data processing pipelines on AWS using Python to streamline training and inference of models. ### Data Scientist, Machine Learning Group @ Fractal Analytics Jan 2017 – Jan 2019 | Mumbai Area, India • Developed a demand forecasting model based on gradient-boosting trees to save $5 million in operational costs. Used a Neural network to ensemble multiple tree models to optimize a custom-defined metric. • Built An aspect-based Sentiment Analysis engine to extract insights from customer review data. Received appreciation from client and Fractal.ai. • Designed and developed a text classification model to save $30k and 5000 man-hours using Logistic Regression, SVM, TFIDF, n-gram & cosine similarity. This model categorizes products based on descriptions. • Coached and mentored 4 data science interns; 3 of them were later hired into full-time roles. • Deployed a machine learning model on AndroidOS to detect human activity recognition based on sensor data. • Increased the efficiency of weekly sales report generation by 75%, using Python and SQLite for automation. • Improved accuracy of stock price prediction model using text (news) data by 5% using Convolutional Neural Network (CNN), Information Extraction (IE), and Neural Tensor Model. ### Software Engineer Intern @ Venturesity Jan 2016 – Jan 2016 | Bengaluru Area, India • Built a backend framework for hosting data science competitions. ## Education ### Master of Science - MS in Data Science University of San Francisco ### Bachelor's degree in Engineering Indian Institute of Technology (Banaras Hindu University), Varanasi ## Contact & Social - LinkedIn: https://linkedin.com/in/nithish08 --- Source: https://flows.cv/nithish JSON Resume: https://flows.cv/nithish/resume.json Last updated: 2026-03-29