WebRtc Native Development (C/C++), Replacement of Java Audio Device Module with Oboe Audio Device Module to achieve low hardware latency for Audio. WebRtc Native Modules Development such as Audio Processing, AEC, AGC, NS, VAD, Neteq, Audio Mixer, etc. Modifications in WebRtc Core A3 Algorithms such as (AEC, ANS, AGC), which are the basic powers of WebRtc Audio Processing. Research on WebRtc Audio Channel, Video Channel, and Audio, Video Quality issues such as (Hardware Latency, Network Latency, Adaptiveness regarding Platform updates). Implemented Core Digital Signal Processing Concepts to develop Stream Selection (Adhoc-Streams) and Stream Synchronization (Adhoc-Playout) Algorithms as well. The above-mentioned complete research works are going to be PATENT really soon. Building Machine Learning Models i.e. (Natural Language Understanding, Computer Vision, Algorithmic Foundations of Optimization, Data Mining & Machine Intelligence) Familiarity with machine learning frameworks (like Keras, Tensor-Flow, and PyTorch) and libraries (like Scikit-learn, Pandas, NumPy, seaborn, matplotlib) Automation Engineering with Web Scrapping/Web Crawling using (Beautiful Soup, Python Requests, Scrapy, Selenium, urllib, etc) Probability and Statistical Analysis and Android NDK Development using C/C++/Assembly. So, now, in industry, this passion remains with me. There`s certainly yet more to learn, yet more problems to solve, and yet more to build, and for this, I am very grateful. Specialties: Languages: C/C++, Java/Kotlin, Python, & JavaScript Academic: WebRtc & VoIP, Probability & Statistics, Machine Learning, Artificial Intelligence Contributions: To research communities i.e. "JMLR, Medium, Github, Stack Overflow"/efforts, including publishing articles.
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