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Java Developer Machine Learning

Location:
Cupertino, CA
Posted:
February 13, 2024

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Resume:

Soham Mukherjee

+1-408-***-**** •ad3k6j@r.postjobfree.com•linkedin.com/in/soham-mukherjee-0083bb193/•https://github.com/sohamazing SKILLS

Proficient in Python,Java,C · Algorithm Development ·DataStructures·DataAnalysis·ImageRegistration·SoftwareDevelopment& Testing · Artificial Intelligence · Machine Learning · TensorFlow/PyTorch · Image Analysis · Image Segmentation · Image Compression· Bioinformatics·PipelineDevelopment·GUIDevelopmentGTK4+·HTML·SQL·Git·Docker·AWS·OpenCV·NLP/LLM’s·CriticalProblem Solving Ability · Large Scale Data Handling· ExcellentCommunication and Interpersonal Skills·Team Player· Independent Contributor· EDUCATION

University of California Berkeley 2019 - 2023

Bioengineering B.S. & Computer Science Minor

Relevant Coursework:Efficient Algorithms & IntractableProblems (CS 170); Computer Security (CS161), Algorithms for Computational Biology (CS176); Machine Learning for Computational Biology (BioE245); Machine Learning, Statistical Models & Optimization for Molecular Problems (BioE C242); Biomedical Imaging Systems II: Targeted Molecular Imaging in Disease (BioE 166) PROFESSIONAL EXPERIENCE

Advanced Cell Diagnostics Sept 2022 - Oct 2023

Software Engineering Consultant

● RNAscope HiPlex Image Registration: Improved Whole Slide Image (WSI) Analysis algorithm enabling simultaneous detection of up to 12 different targets for a thorough analysis of gene expression within a micro-environment; automated the entire registration process; developed GUI for viewing and analyzing Whole Slide Images. Released to customers. Tools used: GTK+, OpenCV Bio-Techne May 2022 - Aug 2022

Software Engineering Intern

● Image Analysis Team: Developed initial RNAscope HiPlex Image Registration algorithm and software for spatial alignment of giga-pixel microscopic images at sub-pel accuracy; improved robustness and speed through parallelization.

● Probe Design Team: Helped update the current ACD website to include complete specs about DNA scope probe; created an automated pipeline to output more user-friendly and useful numbers and graphics. University of California San Francisco – Department of Pathology May 2021 - May 2022 Software Intern

● Developedsoftwarepipelinestoinvestigatetherelevanceofendogenousandenvironmentalmutagenicprocessesinplasmacytoid dendritic cell neoplasm (BPDCN)at Prof.Ohgami’s Lab.Ourresultsidentifiedlinksbetweentobaccoexposure,aging,nucleotide excision repair deficiency,UV exposure,and endogenous deamination in BPDCN.Published papers on this research in 3 peer-reviewed journals.

Stanford University – Department of Electrical Engineering June 2018 - March 2019 Research Intern

● Workedonadatacompressionsoftwareprojectcomparinghumanbrainimagecompressionwithstate-of-the-artcodecs.Presented research atStanford Compression Forum, 2019 and atStanford’s EE 25N. Presented the work at DCC 2019, Snowbird, Utah. STEM-Away –startup, Los Gatos, CA June 2017 - Sept 2017 Summer Intern

● Developed first version of a web-based software platform https://www.stemaway.com/to help studentswithopportunitygaps launch successful STEM careers; implemented various modules in STEM-Away, including in-built editor. CERTIFICATIONS & PROJECTS

Project to PredictPeptide Hydrophobicity using Neural Networks:Feb 2024

● Trainedaneuralnetworkmodeltopredicthydrophobicityvaluesbasedonaminoacidsequences.Themodelisimplementedusing TensorFlow and Keras.https://github.com/sohamazing/peptide Project to Colorize Gray-Scale Images:Nov2023- Dec 2023

● ImplementedsoftwaretoolusingConvolutionalNeuralNetworks(CNNs)tocolorizegray-scaleimages.Usedopensourcelibraries- ex:TensorFlow, NumPy, FFmpeg -https://github.com/sohamazing/colorize DeepLearning.AI TensorFlow Developer Professional Certificate(Coursera)Dec 2023 -Jan2024

● Learned TensorFlow’s best practices, trained a neural network for computer vision, used convolutions to improve the neural network. PUBLICATIONS

1.A.Bhown,S.Mukherjee,et al.,"HumansareStilltheBestLossyImageCompressors,"2019IEEEDataCompressionConference(DCC), Snowbird, UT, USA, 2019, pp. 558-558, doi: 10.1109/DCC.2019.00070. 2.Small C,Mukerjee S,et al.Profiling endogenous,environmental,and infectiousdiseasemutationalsignaturesinblasticplasmacytoid dendritic cell neoplasms. Int J Lab Hematology 2023[Co-authored with Prof. Bob Ohgami, UCSF PathologyDep] 3.KumarJ,PatelS,ChangA,MukherjeeS,etal.Smokingstatusinacutemyeloidleukemiaisassociatedwithworseoverallsurvivalandis independent of prior nonhematopoietic malignancies, cytogenetic abnormalities, and WHO category. Human Pathology 2023 May; 4.SaglamA,SinghK,KumarJ,GollapudiS,MukherjeeS,etal.CopyNumberLossatChromosome14q11.2CorrelatesWiththeProportionof T Cells in Biopsies and Helps Identify T-Cell Neoplasms. Arch Pathol Lab Med. 2023 Aug



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