Vikram Sunil Bajaj Email & Phone Number
@nyu.edu
1 phone found area 212
LinkedIn matched
Who is Vikram Sunil Bajaj? Overview
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Vikram Sunil Bajaj is listed as Senior Machine Learning Engineer at Bloomberg, a with 25569 employees, based in New York City Metropolitan Area, United States. AeroLeads shows a work email signal at nyu.edu, phone signal with area code 212, and a matched LinkedIn profile for Vikram Sunil Bajaj.
Vikram Sunil Bajaj previously worked as Machine Learning Engineer at Bloomberg and AVP - Lead Software Engineer - Machine Learning at Deutsche Bank. Vikram Sunil Bajaj holds Master Of Science - Ms, Computer Science from Nyu Tandon School Of Engineering.
Email format at Bloomberg
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AeroLeads found 1 current-domain work email signal for Vikram Sunil Bajaj. Compare company email patterns before reaching out.
About Vikram Sunil Bajaj
After graduating with my Master of Science in Computer Science from NYU in 2019, I joined Deutsche Bank's Wall Street office as a Software Engineer. In my ~3.5 years there, I worked as a Data Engineer and a Machine Learning Engineer, leading the development of our in-house document management OCR solution. I currently work at Bloomberg as a Machine Learning Engineer on the Bloomberg Law ML team.In the recent past, I interned at Curai Health, an AI-Healthcare startup in Palo Alto, as a Machine Learning Engineer, where I focused on dermatological disease diagnosis using Computer Vision (Deep Learning) and Expert Systems.I'm skilled at Machine Learning and its application in several fields, including Computer Vision and NLP. I strive to be a part of the advances in this ever-growing and ever-changing field, and build software incorporating Machine Learning techniques to simplify our lives and make an impact.Please feel free to reach me at vikrambajaj@nyu.edu / +1 (347) 986-4201Get to know me better at http://www.vikrambajaj.me
Listed skills include Machine Learning, Web Development, Html, Python, and 27 others.
Vikram Sunil Bajaj's current company
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Vikram Sunil Bajaj work experience
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Machine Learning Engineer
CurrentSenior Software Engineer - Machine Learning Engineer in the Bloomberg Law ML team.Leveraging Natural Language Processing techniques to power litigation analytics solutions.
Avp - Lead Software Engineer - Machine Learning
Led the development of a micro-services oriented document management system for use by teams across the bank for any and all document processing needs, including OCR, information extraction, signature verification among other services.
Associate Software Engineer - Machine Learning
• Leading the development of an in-house OCR service (in Python); a high-impact revenue-generating project, with significant reduction in document processing turnaround time and manual effort• Trained SVMs for filter selection and smart template matching to automate document pre-processing, and implemented NLP-backed post-processing to improve OCR quality and minimize human intervention• Developing new features, including training deep models for offline signature extraction and verification, improving scalability, and automating deployments using CI/CD pipelines• Set up the team’s Kafka cluster to facilitate communication between various microservices• Contributing to the bank-wide Data Science Community of Expertise to establish standards across the bank
Grad Software Engineer - Data Engineering
• Developed a generic database to database transfer service, using Java Spring Boot and SQL Server• Enhanced a data reconciliation service, allowing it to support multiple recon types (file-file, file-database and database-database)• Built an interactive dashboard, using React, to correlate incoming payments from various sources
Graduate Teaching Assistant
Teaching Assistant for Information Visualization (CS-GY 6313) in the Department of Computer Science and Engineering at NYU Tandon School of Engineering, for Spring 2019
Graduate Grading Assistant
Grading Assistant for Intro to Machine Learning (DS-GA 3001) and Programming for Data Science (DS-GA 1007) in Fall 2018 at the NYU Center for Data Science
Software Engineering Intern - Machine Learning Engineering
Worked on dermatological disease diagnosis using Computer Vision, toward the company's goal of scaling the best healthcare for every human being!• Built a "Suggest Diagnoses" feature (Deep Learning-based dermatological disease diagnosis) to aid doctors• Implemented a "Next Question" flow: Deep Learning-based image differential in concert with an Expert System• Trained a Rash vs. Neoplasm classifier (CNN using PyTorch) with 90% accuracy on dermatologist-annotated images, to enable automated triaging of patients• Developed a reusable image annotation tool with a React UI to demonstrate/compare models
Technology Analyst Intern - Chief Data Office (Cdo)
• Applied NLP (in Python) to map data attributes based on similarities in their descriptions, toward automating data lineage between systems in the bank• Performed sentiment analysis of news articles and built a Flask web app to analyze the correlation of sentiment with stock trend• Reviewed the ML capabilities of DgSecure for the detection of personally identifiable information in unstructured data, toward GDPR compliance
Graduate Teaching Assistant
Teaching Assistant for Deep Learning (CS-GY 9223-E) in the Department of Computer Science and Engineering at NYU Tandon School of Engineering and Grader for Deep Learning (DS-GA 1008) at the NYU Center for Data Science, under Prof. Yann LeCun, in Spring 2018
It And Customer Support Assistant
I worked in the Events and Operations Division of the NYU Kimmel Center for University Life. My duties included providing IT support, assisting with events through the day, handling customer inquiries and ensuring the fulfillment of all building policies
Graduate Teaching Assistant
Teaching Assistant for Big Data Analytics (CS-GY 9223-G) in the Department of Computer Science and Engineering at NYU Tandon School of Engineering, in Fall 2017
Summer Fellowship Intern
• Summer Fellowship Program 2016• Developed a Content-Based Image Retrieval (CBIR) system in MATLAB, using Computer Vision and Machine Learning techniques• Increased the number of object categories that the system could recognize by 300%
Vikram Sunil Bajaj education
Master Of Science - Ms, Computer Science
Bachelor Of Technology (B.Tech.), Computer Science Engineering
Intermediate, Mathematics, Physics And Chemistry
Icse, Regular/General High School/Secondary Diploma Program
Frequently asked questions about Vikram Sunil Bajaj
Quick answers generated from the profile data available on this page.
What company does Vikram Sunil Bajaj work for?
Vikram Sunil Bajaj works for Bloomberg.
What is Vikram Sunil Bajaj's role at Bloomberg?
Vikram Sunil Bajaj is listed as Senior Machine Learning Engineer at Bloomberg.
What is Vikram Sunil Bajaj's email address?
AeroLeads has found 1 work email signal at @nyu.edu for Vikram Sunil Bajaj at Bloomberg.
What is Vikram Sunil Bajaj's phone number?
AeroLeads has found 1 phone signal(s) with area code 212 for Vikram Sunil Bajaj at Bloomberg.
Where is Vikram Sunil Bajaj based?
Vikram Sunil Bajaj is based in New York City Metropolitan Area, United States while working with Bloomberg.
What companies has Vikram Sunil Bajaj worked for?
Vikram Sunil Bajaj has worked for Bloomberg, Deutsche Bank, New York University, Curai Health, and Indian Institute Of Technology, Madras.
How can I contact Vikram Sunil Bajaj?
You can use AeroLeads to view verified contact signals for Vikram Sunil Bajaj at Bloomberg, including work email, phone, and LinkedIn data when available.
What schools did Vikram Sunil Bajaj attend?
Vikram Sunil Bajaj holds Master Of Science - Ms, Computer Science from Nyu Tandon School Of Engineering.
What skills is Vikram Sunil Bajaj known for?
Vikram Sunil Bajaj is listed with skills including Machine Learning, Web Development, Html, Python, Matlab, Java, C, and Data Science.
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