Jitendra Singh Senior Machine Learning Engineer TrueFan 9720938036 jitendra.singh.iitg@gmail.com https://www.linkedin.com/in/jitendraiitg/ Education • B.Tech in Electronics and Communication Engineering Aug 2013 - Jul 2017 Indian Institute of Technology, Guwahati, IN Experience TrueFan • May 2022 - Present Machine Learning Engineer – Enhanced GAN-based lip-generation model, using wave2vec2 features, raising accuracy from 53% to 70%, enabling lip-sync videos with Indian celebrities. – Quantized GAN model doubling inference speed and cutting costs by half. – Successfully implemented a text-to-speech model for voice cloning using Microsoft SpeechT5, reducing depedency for vendor to only 20%. – Trained Hindi MFA Model, Outperforming English Models. This Achievement Significantly Boosted Lip-Sync Accuracy, Elevating it from 50% to an 75%. Decimal Technologies • May 2019 - Jan 2022 Machine Learning Engineer – Created OCR for diverse POI and POA documents, Streamlined workflows by reducing manual data entry time by 80%. – Image Analysis by doing Blur Detection, using laplacian and Text Orientation for Documents in Image, using hough transform, Implementing data validation rules to reject images that do not meet certain criteria at source by 90% Tatras Data • Aug 2017 - Mar 2019 Junior Data Scientist – Engineered and deployed a News recommendation system, incorporating advanced data science techniques. Achieved a remarkable 30% increase in user engagement and satisfaction, solidifying the platform’s value proposition and competitive edge – Developed a healthcare AI model, using Random Forest, and Gradient Boosting to predict critical health. Improved junior doctors’ decisions, reducing hospitalization rates by 20% and enhancing overall patient care. – Developed an online apparel retailer’s recommendation system, applying advanced techniques like Convolutional Neural Networks and Transfer Learning to develop a hybrid model. elevating customer engagement by 20%, boosting sales, and increasing conversion rates, driving substantial business growth. Personal Projects • Dissertation Project:Explaining Decisions of a Segmentation Model – Extended StyleEx concept (’Explaining in Style: Training a GAN to explain a classifier in StyleSpace’) for segmentation tasks, captured segmentation-specific attributes to explain what the segmentation model was learning. – Showed that StyleSpace-derived attributes directly influenced segmentation model output, resulting in 20-30% changes in correct logit classifications based on input image modifications. • Multitask Model for Bird Species and Bird Sound Classification – Created a single multitask model for Bird Species and Bird Sound Classification. – Attained remarkable accuracy, reaching 96% for bird classification and 79% for bird sound classification, a notable improvement from 89% and 70% in individual models. Consequently, the multitask model surpassed the performance of individual task models. Technical Skills and Interests Languages: Python, R, Java, HTML, Typescript, C# Libraries : TensorFlow, PyTorch, Keras, Scikit-Learn, Pandas, NumPy, Open CV, Rest API’s, Bootstrap, MySQL Dev Tools: Git, Github, Docker Cloud Platforms: Google Cloud Platform (GCP), Microsoft Azure, AWS(EC2, S3, Sagemaker) Publications and Certifications • Clustering Analysis - Types of Clustering May 2017 – Co-authored a paper on Clustering Analysis, presented at 2nd ICCI-SEM-2017. • Earned Machine Learning Engineer Nanodegree. Aug 2019 - Nov 2019
