Rohit Shinde Email & Phone Number
area 973
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Who is Rohit Shinde? Overview
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Rohit Shinde is listed as Machine Learning Engineer at Plaid, a with 1196 employees, based in San Francisco Bay Area, United States. AeroLeads shows phone signal with area code 973 and a matched LinkedIn profile for Rohit Shinde.
Rohit Shinde previously worked as Senior Data Scientist at Myriad Genetics and Machine Learning Engineer at Johnson & Johnson. Rohit Shinde holds Master'S Degree, Mechanical Engineering from University Of Pennsylvania.
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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
Listed skills include Research, Solidworks, Data Analysis, 3D Printing, and 17 others.
Rohit Shinde's current company
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Rohit Shinde work experience
A career timeline built from the work history available for this profile.
Senior Data Scientist
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
Machine Learning Engineer
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
R&D Leadership Development Program Data Scientist - Robotics And Digital Solutions
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
R&D Leadership Development Program Data Scientist - Lung Cancer Initiative
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
R&D Leadership Development Program Data Scientist - Biosense Webster
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
R&D Leadership Development Program Engineer Ii - Depuy Synthes, Trauma
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
Laboratory Staff
R&D Ldp Engineering Intern - Depuy Synthes, Trauma
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.
Research Assistant At The Laboratory For Structural, Physiological, And Functional Imaging
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.
Pco Research Intern
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
Global Biomedical Service Participant
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.
Colleagues at Plaid
Other employees you can reach at plaid.com. View company contacts for 1196 employees →
Jeffrey Byl
Colleague at PlaidSan Francisco Bay Area, United States
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Riki Visperas
Colleague at PlaidSan Francisco Bay Area, United States
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Larkins Carvalho
Colleague at PlaidSan Francisco Bay Area, United States
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Alfonso Dumlao
Colleague at PlaidNew York City Metropolitan Area, United States
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Cristian Rodriguez-Cruz
Colleague at PlaidGreater Orlando, United States
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Brian Jacokes
Colleague at PlaidGreater Boston, United States
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Demry Mebane
Colleague at PlaidDallas, Texas, United States
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Emre Ugurlu
Colleague at PlaidNew York, United States
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Kate Gruber
Colleague at PlaidSan Francisco Bay Area, United States
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Eric Sager
Colleague at PlaidSan Francisco, California, United States
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Rohit Shinde education
Master'S Degree, Mechanical Engineering
Bachelor’S Degree, Bioengineering/Biomedical Engineering
High School
Frequently asked questions about Rohit Shinde
Quick answers generated from the profile data available on this page.
What company does Rohit Shinde work for?
Rohit Shinde works for Plaid.
What is Rohit Shinde's role at Plaid?
Rohit Shinde is listed as Machine Learning Engineer at Plaid.
What is Rohit Shinde's phone number?
AeroLeads has found 2 phone signal(s) with area code 973 for Rohit Shinde at Plaid.
Where is Rohit Shinde based?
Rohit Shinde is based in San Francisco Bay Area, United States while working with Plaid.
What companies has Rohit Shinde worked for?
Rohit Shinde has worked for Plaid, Myriad Genetics, Johnson & Johnson, George H. Stephenson Foundation Bioengineering Educational Laboratory & Bio-Makerspace, and University Of Pennsylvania.
Who are Rohit Shinde's colleagues at Plaid?
Rohit Shinde's colleagues at Plaid include Jeffrey Byl, Riki Visperas, Larkins Carvalho, Alfonso Dumlao, and Cristian Rodriguez-Cruz.
How can I contact Rohit Shinde?
You can use AeroLeads to view verified contact signals for Rohit Shinde at Plaid, including work email, phone, and LinkedIn data when available.
What schools did Rohit Shinde attend?
Rohit Shinde holds Master'S Degree, Mechanical Engineering from University Of Pennsylvania.
What skills is Rohit Shinde known for?
Rohit Shinde is listed with skills including Research, Solidworks, Data Analysis, 3D Printing, Matlab, Python, Ct/Mri Segmentation, and Rt Pcr.
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