I graduated with a BSc in Computer Science & Engineering from Shahjalal University of Science & Technology, with hands-on experience in machine learning, software development, and research in advanced speech recognition technologies.During my tenure as a Machine Learning Engineer at REVE Systems, I worked on fine-tuning advanced models like Wav2vec 2.0 and Whisper for Bengali Speech-to-Text (STT) applications. I also contributed to the development of Bengali Text-to-Speech (TTS) models and optimized them for performance using techniques such as model compression and quantization. My experience extends to implementing sentiment analysis and topic modeling using BERT, as well as developing real-time chatbots and face liveness detection systems for biometric authentication. This experience has honed my skills in machine learning frameworks such as PyTorch and TensorFlowIn addition to my industry experience, I have been involved in research, particularly in the development of speech recognition systems tailored to the Bangla language. My undergrad thesis work includes creating a large corpus of spontaneous speech and evaluating ASR models on challenging benchmarks like BanSpeech. This research not only deepened my understanding of speech processing but also equipped me with the ability to tackle complex problems in natural language processing.I am also proficient in several programming languages, including Python, Java, and C++, and have experience with web technologies, databases and software development tools.
