Applied scientist at Merlin Labs with focus on ASR ( Automatic Speech Recognition) and NLP (Natural Language Processing). Currently working on creating a streaming version of the wav2vec2 and modifying its transformer architecture. Background: Ph.D. in Electrical Engineering with certificates in AI field such as machine learning, deep learning, TensorFlow, speech recognition, speaker recognition and AWS. Over 6 years of industry work experience. • Techniques: Wav2vec2, Whisper(openai), Transformers, Machine Learning, Deep learning, Keras, TensorFlow, PyTorch, YOLO, LSTMs, RNNs, CNNs, Siamese Networks and one-shot learning, KNN, SVM, Decision Trees, Forest Trees, k-means, PCA, Digital Signal Processing (DSP) • Concepts: Automatic Speech Recognition (ASR), Acoustic Modeling, Statistics, Probability, Spectrum Analysis, Gradient Descent, Time Series Networks, Audio Feature Engineering, Exploratory Data Analysis and Data Preparation, Transfer Learning, Convolutions, NLP, Microwave and Electromagnetic, Hidden Markov Model (HMM), MFCC, Similarity Score, Text to Speech, Voice Activity Detection, Mel-Scale, N-Gram, Bark Scale • Programming Languages: Python, SQL, MATLAB, C, VHDL, Verilog, Microcontroller Assembly • Python: Pandas, Numpy, Librosa, Torch, Torchvision, Tensorflow, Keras, Matplotlib, Seaborn, Sklearn, FinTa, Scipy, OpenCV, PIL,TaLib, Pydub, tqdm, pyroomacoustic, Ipython, PyAudio, NLTK, gTTS, • Tools: Spark, PyCharm, Git, IntelliJ Idea, Jupyter notebook, Anaconda, AWS, Audacity
A new brain on the block since March, 2025.
My opinion only DYOR
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