CHARU SINGH

+1-213-***-**** ad3kwg@r.postjobfree.com www.linkedin.com/in/charusingh21 Cupertino, CA 95014 EDUCATION

University of Southern California, Los Angeles, CA Aug 2019 - May 2021 Master of Science, Electrical and Computer Engineering (specialization in Computer Vision and Deep Learning) GPA: 3.83/4.0 Relevant Courses: Probability for Engineers (EE503), Linear Algebra for Engineering (EE510), Digital Image Processing (EE569), Mathematical Pattern Recognition (EE559), Machine Learning for Data Informatics (INF552), Advanced Computer Vision (CSCI 677), Deep Learning (EE599) Vellore Institute of Technology (VIT), India Jul 2014 – May 2018 Bachelor of Technology, Electronics and Communication Engineering GPA:8.8/10 EXPERIENCE

Falkonry Inc. ML Software Engineer Cupertino, USA Jan 2021 – Present

• Contributed to developing Falkonry new Time Series AI engine for automated anomaly detection in predictive production operations also specialized in optimizing, involving the analysis, implementation, and testing of the AI engine.

• Executed full lifecycle of time series AI models, incorporating Rancher for streamlined infrastructure scaling, containerized deployment ensuring scalability, and enabling automated testing via CI/CD pipelines.

• Worked with Falkonry Insights, enabling operations teams to virtually inspect every electrical and mechanical data point for the automatic detection of new and emerging hotspots, reducing industries unplanned downtime, and optimizing maintenance schedules. MOEV Inc. AI/Machine Learning Intern Los Angeles, USA Sep 2020 -Dec 2020

• Developed AI/Machine Learning algorithms, techniques for prediction and Planning for Electric Vehicle (EV). Cedar Sinai Medical Center (Bioimage Informatics Lab) Research Assistant Los Angeles, USA May 2020 -Jul 2020

• Developed Deep learning and Machine Learning based approaches by applying various image processing techniques. Sat-Com Communications Solutions Electronics and Communication Engineer(R&D) Windhoek, Namibia Jan 2018 - Jul 2019

• Developed DSP based System in Radios for Voice Activity Detection and Background Noise Reduction. PATENT

Managing machine operations using encoded multiscale time series data TECHNICAL SKILLS

Languages: Python, R, C++, MATLAB,SQL

Frameworks: TensorRT, Detectron 2, AWS, Kubernetes, Keras, OpenCV, Tensorflow, Pytorch, Numpy, Statsmodels, Sklearn, Pandas,Scikit,Labview, Gitlab, Docker, Bash, Spark, Tableau

Data Visualization libraries: Matplotlib, Seaborn, Pyplot PROJECTS

Implemented GPT model following "Attention is All You Need" paper, emphasizing advanced NLP and model architecture. Nov 2023 Automated and scalable weld and strip break classification in tandem cold rolling mills using Time Series AI Feb 2022-Feb2023 Photorealistic Image Synthesis from Segmentation maps using Conditional GAN: Nov 2020-Dec2020

• Generated segmentation maps for images and used Spatially Adaptive Normalization (SPADE) for photorealistic image synthesis in GANs. Classified three languages (English, Hindi, and Mandarin) using Objective Spoken Language Identification (LID): NLP Nov 2020

• Feature extraction is performed in the form of Mel-frequency cepstral coefficients (MFCCs) from spoken audio. 3D Scene Reconstruction Framework using Structure from Motion: Computer Vision Sep 2020

• Created a SFM pipeline: key point feature extraction, compute local matches, select globally consistent matches, compute essential matrix, camera matrices and triangulate to compute 3D point positions. Hand Postures (Motion Capture) Classification - Mathematical Pattern Recognition Mar 2020 EXTERNAL COURSES/CERTIFICATIONS

Fundamentals of Deep Learning for Multi-GPUs

Coursera: SQL for Data Science

Fundamentals of Deep Learning for Computer Vision NVIDIA Deep Learning Institute PUBLICATIONS

Automated, fast multi-timescale, time series anomaly detection for industrial data with Time Series AI, APCSM Conference. Artificial Intelligence Enabled Drone and Robot to Fight COVID-19, “Intelligent Systems and Methods to Combat COVID-19” Springer. A Real-Time DSP-Based System for Voice Activity Detection and Background Noise Reduction, Intelligent Techniques in Speech Signal Processing, Elsevier, 2019