Rohit Shinde

Rohit Shinde Email and Phone Number

Machine Learning Engineer @ Plaid
California, United States
Rohit Shinde's Location
San Francisco Bay Area, United States, United States
Rohit Shinde's Contact Details

Rohit Shinde phone numbers

About Rohit Shinde

As a Data Scientist and Machine Learning Engineer with 4+ years of industry experience and a diverse background, I have led cross-functional teams to success, conducted data analysis on large, multi-modal datasets to drive decisions, and have developed machine learning models for surgical robotics, cancer detection, and electrophysiology. With skills in Python, SQL, Deep Learning (Keras, Tensorflow, PyTorch, Scikit-Learn), and Data Visualization, I have built end to end machine learning pipelines involving data mining and statistical analysis, feature engineering, model development and optimization, and model evaluation. As a project lead and mentor, I effectively communicate technical insights to technical and non-technical audiences to drive business decisions and recommend solutions.I also have a unique and diverse experience as a rotational data scientist in a leadership development program, where I moved within different medical device companies. Throughout this time I displayed my quick ability to learn, given the short rotations, and my self-motivation to grow as a technical contributor and leader.With my passion for data science and machine learning and commitment to solving complex problems through data-driven insights, I am excited for and open to new opportunities!Languages and Frameworks: Python | SQL | Snowflake | PySpark | Azure | AWS | Looker | Git | AgileOutside of work, I am avid landscape and urban photographer. Check out some of my photography work here: www.rohitshinde.myportfolio.com

Rohit Shinde's Current Company Details
Plaid

Plaid

View
Machine Learning Engineer
California, United States
Website:
plaid.com
Employees:
1196
Company phone:
(800) 469-7423
Company email:
rrogers@myriad.com
Rohit Shinde Work Experience Details
  • Plaid
    Machine Learning Engineer
    Plaid
    California, United States
  • Myriad Genetics
    Senior Data Scientist
    Myriad Genetics Jul 2023 - Present
    Salt Lake City, Utah, Us
    Head cross-functional projects, develop and optimize machine learning solutions, and deploy software products• Led the development and deployed an automated data analysis tool using Python, Snowflake, and OpenShift, saving 70+ hours/week for the sales team• Designed and built a GenAI pipeline to extract key information from denial letters using LLMs, AWS, Langchain, and RAG, improving insights into denied claims• Developed the backend of an automated, scalable data sharing platform for providers using Python, PostgreSQL, Docker, Snowflake• Developed a POC RAG-based chatbot for a launched product, using AWS Bedrock, Langchain, and Streamlit• Collaborated with cross functional teams to take ideas from conception to production, including Executive Leadership, Sales, Product, Data Engineering, and Site Reliability Engineering• Mentored junior data scientists with career development, technical skills, and best practices
  • Johnson & Johnson
    Machine Learning Engineer
    Johnson & Johnson Feb 2022 - Jul 2023
    New Brunswick, Nj, Us
    Lead cross-functional team, develop machine learning models, and analyze large, multi-modal datasets to drive decisions and create features for the surgical robotics platform. • Directed a cross-functional team to predict real world surgical performance from the use of a VR surgical simulator• Developed a surgical robotic entry port recommendation system using scikit-learn, PyTorch, Azure Databricks, PySpark, and AWS, achieving a 10% increase in robot reach during surgery (Inventor on Patent Submission)• Built a novel CNN framework that utilizes R-CNN’s selective search (OpenCV, Tensorflow) and K-means clustering (scikit-learn), achieving a 17.8% noise reduction in the surgical robot positional data• Collaborated with cross-functional internal and external teams such as software engineering, hardware, clinical, marketing, and senior leadership to drive projects forward• Mentored 4 rotational engineers, guiding them to full time positionsML/Tech Stack: Python, SQL, Tensorflow, PyTorch, Keras, Scikit-Learn, Pandas, OpenCV, AWS, Azure Databricks, Quobole, PySpark, BitBucket, Git
  • Johnson & Johnson
    R&D Leadership Development Program Data Scientist - Robotics And Digital Solutions
    Johnson & Johnson Sep 2021 - Feb 2022
    New Brunswick, Nj, Us
    Drive model development, model evaluation, and data analyses on large datasets to impact product decisions, benefit external teams, and improve internal models.• Implemented novel computer vision techniques to extract geometric features for training data and compare geometric similarity between two point clouds• Performed extensive data analysis and statistical analyses to support model development and improvement• Built visuals (Matplotlib and Plotly) and presentations to clearly explain the insights gathered from analyses to technical and non-technical audiences, such as clinical, marketing and senior management• Performed statistical analysis of clinical data to determine the best robot set up, saving the business many hoursML/Tech Stack: Python, SQL, Tensorflow, PyTorch, Keras, Scikit-Learn, Pandas, OpenCV, AWS, Quobole, PySpark
  • Johnson & Johnson
    R&D Leadership Development Program Data Scientist - Lung Cancer Initiative
    Johnson & Johnson Apr 2021 - Sep 2021
    New Brunswick, Nj, Us
    Developed deep learning models to integrate multi-modal data (miRNA and CT images) for the improvement of early lung cancer detection. • Implemented autoencoders for dimensionality reduction of miRNA expression data and integration of miRNA and CT imaging data (Autoencoder, CNC-VAE, SVM, Neural Networks).• Tested the newly implemented variation autoencoder using classification models such as SVMs and Neural Networks.ML/Tech Stack: Python, Tensorflow. Scikit-Learn, Domino Data Lab
  • Johnson & Johnson
    R&D Leadership Development Program Data Scientist - Biosense Webster
    Johnson & Johnson Mar 2021 - Sep 2021
    New Brunswick, Nj, Us
    Spearheaded all data science and data engineering efforts for Quality and Customer Experience in the electrophysiology division, developing a data pipeline and drawing valuable insights from data analysis.• Led efforts to establish a data pipeline for electrophysiology catheter data collected during clinical cases to support ongoing failure investigations• Effectively communicated with internal and external teams and managers, such as mechanical engineering, software engineering, and hospital staff, to establish a data pipeline• Built a browser application for users to analyze anomalies and trends in time series data using Plotly Dash, allowing non-technical colleagues to easily visualize and analyze data
  • Johnson & Johnson
    R&D Leadership Development Program Engineer Ii - Depuy Synthes, Trauma
    Johnson & Johnson Feb 2020 - Mar 2021
    New Brunswick, Nj, Us
    Led all R&D efforts within the Ankle Fusion project - driving the design and testing of the plate implants and cartilage removal instruments, pushing the project to charter• Optimized the design of cartilage removal tools and increased accessibility to the joint by 25%, using image analysis• Collaborate with business partners and surgeons to understand the needs and goals of end users• 2 Invention Disclosures for next generation ankle fusion plates and cartilage removal instruments
  • George H. Stephenson Foundation Bioengineering Educational Laboratory & Bio-Makerspace
    Laboratory Staff
    George H. Stephenson Foundation Bioengineering Educational Laboratory & Bio-Makerspace Aug 2019 - Dec 2019
  • Johnson & Johnson
    R&D Ldp Engineering Intern - Depuy Synthes, Trauma
    Johnson & Johnson Jun 2019 - Aug 2019
    New Brunswick, Nj, Us
    Designed in CAD and tested products to meet unique surgeon needs.• Developed novel retrograde femoral recon nail and proximal targeting system concept, treating distal, femoral shaft and subtrochanteric fractures and providing prophylactic fixation in femoral neck• Engaged with surgeons, collecting needs and feedback about products• Organized and lead a brainstorming session, organized meetings with marketing and engineering, and collected surgeon VOC feedback • Inventor on IP Submission for Retrograde Femoral Recon Nail and Proximal Targeting System.
  • University Of Pennsylvania
    Research Assistant At The Laboratory For Structural, Physiological, And Functional Imaging
    University Of Pennsylvania Mar 2016 - Jun 2019
    Philadelphia, Pa, Us
    Led multiple teams in many 3D bio-printing efforts within the lab, leading to 4 published academic papers.• Led a team in the prototyping of a “Bone-On-A-Chip”: a device containing a 3D printed, CT image- based bone structure that emulates bone microarchitecture and function for in vitro testing.• Led a team in a study to analyze the microstructure, biomechanics and cellular properties of various ratios of polycaprolactone (PCL) to hydroxyapatite (HA) 3D printed scaffolds, a 3D printable and bio-compatible material for musculoskeletal scaffolds.• Led a project to 3D print CT image-based (patient-specific) bone grafts for surgical implant.• Designed and performed a study to analyze stiffness and microstructure of various ratios of polycaprolactone-hydroxyapatite• Designed a study to analyze cellular adhesion on polycaprolactone-hydroxyapatite 3D printed scaffolds with control and experimental groups at 10 day, 20 day, and 30 day time points.• Published 3 research papers, where I was first author on one.
  • Bristol-Myers Squibb
    Pco Research Intern
    Bristol-Myers Squibb Jun 2017 - Aug 2017
    Lawrence Township, Nj, Us
    Investigated the liabilities, such as occurrence of thymic lymphoma, associated with an autoimmune disease treatment.• Analyzed expression of 18 DNA segments/genes using RT-PCR for 6 and 8 week rat spleen and thymus samples, identifying clinical risks associated with the potential treatment such as tumor development• Performed tissue preparation (Rat thymus, spleen, kidney, liver), RNA isolation, and RT-PCR• Analyzed histology data of rat thymus and spleen for tumor development• Presented results to an audience of technical and non-technical individuals and managers
  • The Hong Kong Polytechnic University
    Global Biomedical Service Participant
    The Hong Kong Polytechnic University May 2017 - May 2017
    Hksar, Hk
    I participated in the UPenn Global Biomedical Service Program at Hong Kong Polytechnic University. I gained clinical experience with designing and building entire Ankle Foot Orthoses (AFOs) for children with variable conditions of Cerebral Palsy in Zhuhai, China. I utilized negative and positive thermoplastic castings to fit and create the personal orthotics, as well as learned how to communicate with the patient and parents.

Rohit Shinde Skills

Research Solidworks Data Analysis 3d Printing Matlab Python Ct/mri Segmentation Rt Pcr Rna Isolation Meshlab Osirix Arduino Microsoft Word Microsoft Excel Powerpoint Event Planning Organization Skills Data Modeling Public Speaking Leadership Management

Rohit Shinde Education Details

  • University Of Pennsylvania
    University Of Pennsylvania
    Mechanical Engineering
  • University Of Pennsylvania
    University Of Pennsylvania
    Bioengineering/Biomedical Engineering
  • Wayne Hills High School
    Wayne Hills High School
    High School

Frequently Asked Questions about Rohit Shinde

What company does Rohit Shinde work for?

Rohit Shinde works for Plaid

What is Rohit Shinde's role at the current company?

Rohit Shinde's current role is Machine Learning Engineer.

What is Rohit Shinde's direct phone number?

Rohit Shinde's direct phone number is +197376*****

What schools did Rohit Shinde attend?

Rohit Shinde attended University Of Pennsylvania, University Of Pennsylvania, Wayne Hills High School.

What skills is Rohit Shinde known for?

Rohit Shinde has skills like Research, Solidworks, Data Analysis, 3d Printing, Matlab, Python, Ct/mri Segmentation, Rt Pcr, Rna Isolation, Meshlab, Osirix, Arduino.

Who are Rohit Shinde's colleagues?

Rohit Shinde's colleagues are Cormick Barnes, Rachel Shekell, Stephano Alama Villar, Alicia Dionio, Michael Zhang, Matthew Wong, Lucas Guild.

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