Sep 2024 – Jan 2025 · 4 mos · Delhi, India

Apr 2023 – Sep 2024 · 1 yr 5 mos

• Part of Center of Excellence (R&D) wireless team responsible for advancing the integration of AI in forthcoming 5G deployments
• Spearheaded efforts to enhance the efficiency of mmWave networks using cutting-edge machine learning techniques
• Developing an advanced RAG system for technical 3gpp spec data.
• Worked with a team of two engineers to innovate and create a digital twin of the environment, emphasizing LIDAR Prediction, by leveraging Tensorflow and Matlab

Jul 2022 – Apr 2023 · 9 mos

• Developed an ensemble time-series model using the PyTorch framework to effectively improve the efficiency of beam selection performed by devices, leading to the receipt of the Best Project Award at HSC Techday 2023
• Optimized 5G communication technology for real-world deployment by designing an ensemble model and preprocessing multi-modal data (LIDAR, GPS, Image, Radar) to maximize 5G beam selection efficiency

Jan 2022 – Jul 2022 · 6 mos

Sep 2021 – Dec 2021 · 3 mos · Tokyo, Japan

• Analyzed MRI data using OpenCV and determined pre-processing steps for semantic segmentation with Tensorflow.
• Investigated semantic segmentation techniques, including U-net and V-net, and devised non-invasive preprocessing approaches for heart MRIs.
• Collaborated with the Japanese team to execute the model and integrate it into their software, iTflow

Jul 2021 – Sep 2021 · 2 mos

• Conducted research on developing a named entity recognition model for material science research papers
• Built an initial classifier model for material science papers using BERT and Stanford position tagger, exploring the potential of a tf-idf model for the same purpose. Achieved an accuracy of 90%

Apr 2021 – May 2021 · 1 mo

Jun 2020 – Jul 2020 · 1 mo