Research Fellow – Machine Learning, Computer Vision of Digital Pathology Imaging, using OpenCV, Python, Quantitative Features’ (Texture Features) Extraction  Currently Research and Development of Digital Biomedical imaging solution, with AI driven clinical diagnostic pipeline for Cancer disease 5+ years’ experience as Asst. Professor in Computer Science and Bioinformatics, include Instructional activities, lecture for UG/Graduate Level courses at Indian University College in Computer Science, Bioinformatics and Mathematics 2+ years in Bioinformatics Industry as a Project Leader, Design and Coding for various Genomic modules to identify e-PCR (Electronic-polymerase chain reaction), ORF-Finder (Open Reading Frame Finder), Introns and Extron and simultaneous conversion to proteins, STS (Sequence Tagged Sites), EST, Motif, AT-rich, GC-rich sites, PSI Blast in Java and C++7+ years in Data analysis algorithms development, Mathematical modeling of Data, using Heuristic (Dynamic Programming, Edit Distances Methodologies) and Statistical (Hidden Markov Modelling (HMM), Probabilistic Modelling, Prediction, Maximum Likelihood methods) using “R” and Java PhD (Computer Science) –Mathematical modelling of Data, Optimized Data Mining algorithms development, to identify MLCS (Longest Common Subsequence, a NP-Hard problem in Biological Sequences Analysis) whose application is in detecting Biological sequence similarityResearch citations by international researchers to my MLCS algorithm show that it can be used for PLC (Industrial Automation), Substring parsing, Software Testing, Pattern Matching, Protein Sequence Alignment and Web video duplicates removal, Spatial Informatics-RSS based Fingerprinting location system in GSM, Optimized Parallel algorithm using openMP for Multi-Core ArchitecturesSubmitted research proposals to NIH, USA, a cloud technology system, performing whole-genome sequence data analysis; aiming to generate existing and also predicting all possible human cancer DNA binding sites (DBS), Transcription Factors (TFs)**** Published a book titled "A Guide to Design and Analysis of Algorithms"