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Souvik Das Email & Phone Number

Applied Scientist Lead at J.P. Morgan
Location: New York, United States 11 work roles 3 schools
2 work emails found @buffalo.edu LinkedIn matched
✓ Verified Jul 2026 4 data sources Profile completeness 86%

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Work email s****@buffalo.edu
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Current company
Role
Applied Scientist Lead
Location
New York, United States
Company size

Who is Souvik Das? Overview

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Quick answer

Souvik Das is listed as Applied Scientist Lead at J.P. Morgan, a with 75129 employees, based in New York, United States. AeroLeads shows a work email signal at buffalo.edu and a matched LinkedIn profile for Souvik Das.

Souvik Das previously worked as Senior Machine Learning Scientist at J.P. Morgan and Senior Machine Learning Scientist at Jpmorganchase. Souvik Das holds Doctor Of Philosophy - Phd, Computer Science from University At Buffalo.

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{first}{last}@buffalo.edu
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Profile bio

About Souvik Das

NLP Scientist/ ResearcherSpecialties include:1. Functional: Data Structures and Algorithms, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision.2. Languages: Python, C++, Java, JavaScript, SQL.3. Tools and Frameworks: Scikit-learn, TensorFlow, Keras, PyTorch, NLTK, SpaCy, Gensim, Django REST Framework, Apache Solr.

Current workplace

Souvik Das's current company

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J.P. Morgan
J.P. Morgan
Applied Scientist Lead
New York, NY, US
Website
Employees
75129
AeroLeads page
11 roles

Souvik Das work experience

A career timeline built from the work history available for this profile.

Senior Machine Learning Scientist

New York, Ny, Us

Senior Machine Learning Scientist

Current

New York, Ny, Us

MLCOE NLP Team - Agentic workflow/ tool orchestration, Long-context QA, and synthetic data.

Jun 2024 - Present

Graduate Research And Teaching Assistant

Buffalo, Ny, Us

As a RA:- Summer 2022: Working towards my thesis: "Elevating Trustworthiness in Open Domain Conversational Agents".- Spring, 2021, Summer, 2021: Participated in Alexa Prize 4 as a co-lead, our socialbot PROTO earned the 3rd spot in the competition.- Fall 2020: NASA AIST2 Biodiversity annotation project.As a lead TA/ Instructor:- CSE 535 Information Retrieval, Fall 2021- CSE 635 Natural Language Processing and Text Mining, Spring 2021, Spring 2022

Sep 2020 - Jun 2024

Nlp Research Intern

Palo Alto, California, Us

Aug 2023 - Dec 2023

Applied Scientist

Seattle, Wa, Us

Amazon Alexa AI- Used RLHF/RLA(I)F techniques for contextual query rewriting tasks.- Developed a new Contrastive Feedback Learning algorithm which outperforms standard RLHF methods.

May 2023 - Aug 2023

Applied Scientist

- Social Unrest Prediction for African Countries - python, pyTorch, Apache Solr, SQLDesigned and developed a social unrest prediction system for African countries, funded by the World Bank and UK Government.Build a specialized encoder-decoder based time series classifier trained on ACLED, stock-market, google trends, twitter etc. data. Achieved an average F1 score of 83% for all regions.

May 2020 - Aug 2020

Research Assistant

Albany, Ny, Us

- Workplace Conversation Mining - python, keras, Spacy, sk-learn, xgboost, SQL Wrote several traditional ML and deep learning based classification algorithms which scored workplace conversation transcripts.

Dec 2019 - Apr 2020

Technology Lead, Nlp Platform

Saratoga, California, Us

Legal text extraction using transformer models

Dec 2018 - Jul 2019

Technology Lead

Hyderabad, Telengana, In

As the founding engineer, I spearheaded building of two products from the ground up. The company served up to 50+ clients during my tenure. Designed and developed vital components, provided customer support extensively, managed different stakeholders, and was also involved in presales.- SmatSocial - python, Javascript, SQL, MongoDB, rabbitMQ, Angular. SmatSocial is a social media marketing automation tool; I directed the development and maintenance of the backend, ETL platform, and the notification engine. - SmatBot - Python, TensorFlow, Keras. SmatBot is an industry-specific chatbot solution developed and supported by a task-oriented domain-specific conversational system. Used RASA-NLU and an in-house ‘Seq2Seq’ architecture to generate chat responses.

Feb 2017 - Dec 2018

Software Developer

Mumbai, Maharashtra, In

- Developed the Registration, Statements modules for a large auto financing company in the US - used Java, Spring, Hibernate, SQL, Angular, Jenkins.- Developed a telemetry based road condition detection system/ MVP for a large tire manufacturer in India(work done in TCS Innovation Labs) - used python, Java, pyspark, mongodb.

Sep 2015 - Feb 2017
Team & coworkers

Colleagues at J.P. Morgan

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3 education records

Souvik Das education

Doctor Of Philosophy - Phd, Computer Science

University At Buffalo

Master Of Science - Ms, Computer Science

University At Buffalo

Bachelor Of Science - Bs, Civil Engineering

National Institute Of Technology Durgapur
FAQ

Frequently asked questions about Souvik Das

Quick answers generated from the profile data available on this page.

What company does Souvik Das work for?

Souvik Das works for J.P. Morgan.

What is Souvik Das's role at J.P. Morgan?

Souvik Das is listed as Applied Scientist Lead at J.P. Morgan.

What is Souvik Das's email address?

AeroLeads has found 2 work email signals at @buffalo.edu for Souvik Das at J.P. Morgan.

Where is Souvik Das based?

Souvik Das is based in New York, United States while working with J.P. Morgan.

What companies has Souvik Das worked for?

Souvik Das has worked for J.P. Morgan, Jpmorganchase, University At Buffalo, Tencent Americas, and Amazon.

Who are Souvik Das's colleagues at J.P. Morgan?

Souvik Das's colleagues at J.P. Morgan include Sharolyn Summers, Manolo Crisp, Jaspreet Dalia, Mandrita Jantwal, and Fazal Shehzad.

How can I contact Souvik Das?

You can use AeroLeads to view verified contact signals for Souvik Das at J.P. Morgan, including work email, phone, and LinkedIn data when available.

What schools did Souvik Das attend?

Souvik Das holds Doctor Of Philosophy - Phd, Computer Science from University At Buffalo.

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