Nistha Mitra

AI Researcher

Seattle, Washington, United States5 yrs 3 mos experience

Highly StableAI Enabled

Key Highlights

Led development of proprietary multi-modal AI model.
Co-authored research paper accepted at EuroVis Conference 2023.
Developed machine learning models for healthcare applications.

Stackforce AI infers this person is a Machine Learning Engineer with a focus on AI and healthcare applications.

Contact

nistha.mitra28@gmail.com LinkedIn

Skills

Core Skills

Natural Language Processing (nlp)Machine LearningReinforcement LearningData VisualizationCloud Computing

Other Skills

AnacondaArtificial Intelligence (AI)Big Data AnalyticsC++CommunicationComputer ScienceCustomer ServiceData AnalysisData StructuresDebuggingFlutterImage ProcessingJavaJiraLanguage Modeling

About

Always Learning.

Experience

Oracle

4 roles

Applied Scientist @ Health and AI

Nov 2024 – Jul 2025 · 8 mos

Software Engineer II @ Speech AI

Aug 2024 – Nov 2024 · 3 mos

(Patented Jan 25) Initiated and led development of proprietary multi-modal model, expanded to a team of 4.

Software Engineer @ Speech AI

Jul 2022 – Aug 2024 · 2 yrs 1 mo

Developing the next generation of cloud-based technologies in the Oracle’s Speech Artificial
Intelligence Team.
NLP, LLM, ASR, ML, Vertex DB,

DebuggingLanguage ModelingJavaData StructuresVisualizationNatural Language Processing (NLP)+2

Data Science Intern @ Oracle for Startups

Jun 2021 – Sep 2021 · 3 mos · United States

Built two machine learning projects using the Oracle Cloud Services and Data Science Platform
Using CT scans and 3D Convolutional neural network made a lungs scarring prediction model for Covid patient's CT scan.
Build a fraud detection model using OCI services such as AutoML and Accelerated Datascience SDK to demonstrate the tools
Encapsulated the projects in a HTML/CSS website to create an end to end tutorial for OCI users and clients.
Worked with a client to build a cloud architecture with pricing to solve a security issue in their product
Oracle Cloud Infrastructure, Keras, Tensorflow, Object Storage

Data StructuresVisualizationPython (Programming Language)Image ProcessingProgramming LanguagesComputer Science+2

University of maryland – college of computer, mathematical, and natural sciences

Research Assistant

Jan 2024 – Mar 2025 · 1 yr 2 mos · Remote

RLJ/RLC 2025
Multi Agent Reinforcement Learning made easier!
Working with Ryan Sullivan and Prof. John P. Dickerson.

C++Reinforcement LearningPython (Programming Language)Technical Research

University of maryland - college of computer, mathematical, and natural sciences

Human Data Interaction Research Assistant

Jan 2021 – May 2022 · 1 yr 4 mos · College Park, Maryland, United States · Hybrid

Co-authored "A Comparative Evaluation of Visual Summarization Techniques for Event Sequences" with Dr. Leo Zhicheng. The paper was accepted in the EuroVis Conference 2023.

DebuggingData VisualizationVisualizationProgramming LanguagesComputer ScienceBig Data Analytics+1

Novuz inc.

Software Engineer Intern

Jun 2020 – Aug 2020 · 2 mos · Danville, California, United States

Developing a parsing tool used to make an automated machine to convert legacy applications
to cloud-based apps
Understanding the grammar of old legacy languages to develop its parser
Python, Lex-Yacc packages, Regex, Linux OS

DebuggingData StructuresProgramming LanguagesComputer Science

University of maryland

Sexual Misconduct Committee VP

Aug 2019 – Aug 2020 · 1 yr · College Park, Maryland, United States

Worked with a team of 30 students in an effort to raise awareness about resources available on campus, and develops initia- tives that combat and educate about the issue of sexual misconduct on campus
Planned, participated and collaborated with a team of 70+ people to execute a campus-wide event called "Reclaim the Red" for over 40,000 students.

Tata steel

Data Science Intern

Jun 2019 – Aug 2019 · 2 mos · India

Built big data supervised learning models using Python to analyze 98000 data points of employees to predict their attendance in various training programs offered by the company
Jupyter Notebook. Packages used: Pandas, Seaborn , matplotlib etc.
Studied and researched the different models such as Regression models, Decision Tree model etc.
Goal: Make efficient training programs and target them to specific departments

Python (Programming Language)Programming LanguagesComputer SciencePandas (Software)Machine Learning