Jaitra Nath
Senior Research Fellow @Iit Jodhpur, Rajasthan
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WORK HISTORY
Senior Research Fellow @Iit Jodhpur, Rajasthan
Working on 6G technologies and AI/ ML applications in signal processing
EDUCATION
Indian Institute of Technology, Kanpur
Master of Technology - MTech, Signal Processing and Communication
Jadavpur University, Kolkata
Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering
Holy Cross School Agartala
Higher Secondary
ABOUT JAITRA NATH
I have completed my B.E. from Jadavpur University and M.Tech from IIT Kanpur and have almost 5 years of industrial experience. I worked as a Modem Firmware Developer at Qualcomm for 3.5 years and as a 5G L1 Layer developer at Mavenir for 1.5 years.My work mainly included signal processing for cellular communication, PHY layer development in C/C++(5G mMIMO and OpenRAN), and low-level firmware development for embedded systems, Including Multithreaded programming in C, Multicore processor architecture, ARM Cortex architecture, Intel FlexRAN architecture, Free RTOS, and memory management in low-level processors.Motivated by the convergence of intelligent systems and statistical modelling, I am now trying to transition into Artificial Intelligence and Machine Learning and Data Science, building upon my strong mathematical foundation and real-world system design experience. Over the past few months, I have built my profile in the vast domain of Artificial Intelligence and Machine learning by completing several courses and certifications. Some of the topics that I am interested in and have gathered significant knowledge through projects and research work are mentioned below:1. Supervised and Unsupervised Learning2. Classification, Regression and Hypothesis Testing3. Neural Networks and Deep Learning4. Model Selection, Regularisation, and Evaluation5. Convex Optimisation and Probabilistic Inference6. Recommendation System Design and Predictive Analytics7. Networking and Graphical Models.Expertise on Languages & Tools:Python, C, NumPy, Pandas, Seaborn, Scikit-learn, TensorFlow, PyTorch, Keras, CVXPY, MatplotlibI\'m actively seeking opportunities to apply my hybrid background in embedded systems and AI/ML to impactful, data-driven projects, both in research and applied domains. Let’s connect if you share interests in intelligent systems, machine learning, or AI-powered signal processing systems and communication technologies!Publication: | Transactions on Vehicular Technology - ResearchGate, June 2021Project
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