Associate Data Scientist with a passion in the field of Artificial Intelligence and Algorithms. Graduated with a Major in Aerospace Engineering and a Minor in Computer Science Engineering. Currently working on critical projects like Novel Drug discovery with AI and Clustering Graph Networks for Entity Normalisation. Professionally skilled in OCR Engines, Deep Learning, data exploration and visualization, predictive modelling and optimization.
Creating new compounds which show similar properties as the target ligands but are novel by utilizing different Variational Autoencoder Networks (VAE, GVAE and JTVAE) with Reinforcement Learning
Generated different Proof of Concepts to find the hierarchy of different nodes using Graphs using Louvain Modularity and Centrality Algorithms such as Page Rank
Performed segmentation of paragraphs in a scanned or digitized PDF by using rule-based Image Processing Techniques and employing Tesseract OCR on these segments to get the contents and create a structured file with tags predicted using BERT classifier
Performed detection of a table by using both Rule-based and Deep Learning Modules and Developed a custom Table-Maker to standardize any type of table into a CSV file
This paper finds the solution for simultaneous arrival of a swarm of fixed-wing UAVs in a three-dimensional (3D) environment filled with obstacles. For generating obstacle free waypoint segments in the cluttered environment 3D Voronoi diagram is used and then to select the k-best paths Yen’s algorithm is adopted. Finally, to make the path flyable and of equal length for all the fixedwing UAVs, an innovative approach is presented here for simultaneous rendezvous. Simulation results are presented here to demonstrate the efficacy of the algorithms and finally the presence of dynamic obstacles are also considered to enhance the applicability of the algorithm in real-life scenarios.
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