Niraj Yagnik

Niraj Yagnik Email and Phone Number

Co-Founder @ Aurexis
New York, NY, US
Niraj Yagnik's Location
New York City Metropolitan Area, United States
About Niraj Yagnik

Hi👋 I am Niraj Yagnik (pronounced: knee-rudge)👨‍💻 I love building comprehensive end-to-end Machine Learning solutions, from data collection and model development to deployment and maintenance, ensuring tailored and impactful outcomes for specialized applications.💼 Spearheaded diverse projects for telecommunications, healthcare, and insurance companies, demonstrating expertise in Software Development, Data Science, Machine Learning and leadership skills.🎓 I hold a Master's Degree in Computer Science from the University of California, San Diego, specializing in Artificial Intelligence. I hold a Bachelor's Degree in Computer Engineering from Manipal Institute of Technology and earned a minor in Big Data Analytics.🧑‍🔬 Three years of research experience working on cutting-edge projects related to Machine Learning, Human-Computer Interaction, Explainability and Natural Language Processing with 4 published papers in top journals.🌍 Motivated by a desire to make a social impact, my research projects are centered around people, aiming to use technology to improve accessibility and inclusivity.

Niraj Yagnik's Current Company Details
Aurexis

Aurexis

View
Co-Founder
New York, NY, US
Website:
bitooda.io
Employees:
10
Niraj Yagnik Work Experience Details
  • Aurexis
    Co-Founder
    Aurexis
    New York, Ny, Us
  • Bitooda
    Lead Developer & Machine Learning Engineer
    Bitooda Sep 2024 - Present
    Greenwich, Connecticut, United States
    • Inference, AI and Data Center Research• Driving the company's expansion by building and leading a development team in Mumbai, India to oversee product development.
  • Bitooda
    Staff Data Scientist
    Bitooda Jul 2024 - Oct 2024
    Greenwich, Connecticut, United States
    Wearing a lot of hats - Data Science, AI, Finance, Software Dev, Analysis, Data Engineering, Database management
  • Nanomood Tech
    Machine Learning Engineer
    Nanomood Tech Jun 2023 - Jun 2024
    San Diego County, California, United States
    • Helped secure grants and significant funding by leading the end-to-end development of machine learning techniques for stress detection using wearable sensor data in Python and SQL.• Developing techniques to integrate Large Language Models to provide risk stratification.• Oversaw the design and development of the company's data management system utilizing Google Cloud Platform.
  • Uc San Diego Computer Science And Engineering Department (Cse)
    Graduate Student Researcher
    Uc San Diego Computer Science And Engineering Department (Cse) Mar 2023 - Jun 2024
    La Jolla Shores, California, United States
    • Engaged in Human-AI interaction, specializing in Explainable AI under the guidance of Dr. Kristen Vaccaro.• Spearheading a project to optimize the assessment of Explainable AI systems on humans.• Enhanced the qualitative evaluation of AI explainability by identifying six key challenges in human-centric testing through interviews with 25 pioneering researchers, targeting methodological improvements and building stakeholder trust.• Submitted to NeurIPS.
  • Uc San Diego
    Graduate Teaching Assistant
    Uc San Diego Sep 2023 - Mar 2024
    La Jolla Shores, California, United States
    • Winter'24: 1. As a Teaching Assistant for a Graduate-level course on Advances in Language Models, my responsibilities included answering course-related questions, handling course logistics, creating and grading student assignments.2. Invited as a guest lecturer to discuss ethics in generative artificial intelligence.3. Received an approval rating of 5.0/ 5.0• Fall'23: 1. Served as a Teaching Assistant for Prof. Julian McAuley in the Fall 2023 CSE 158 - Web Mining and Recommender Systems offering. Responsible for conducting Office Hours, grading assignments, and solving queries.2. Received an approval rating of 5.0/ 5.0
  • Icici Lombard
    Senior Developer
    Icici Lombard Aug 2021 - Jun 2022
    Mumbai, Maharashtra, India
    • Orchestrated robust data migration pipelines and ETL processes using Azure Synapse Analytics for India’s largest private insurance company, catalyzing a 15% surge in retail sales by powering data-driven strategic decisions.• Directed a team of three in the strategic migration of numerous analytical dashboards from SAS BI to Azure, collaborating with end-users to achieve flawless migration accuracy and an 80% reduction in data processing times.
  • Icici Lombard
    Technology Intern
    Icici Lombard Feb 2021 - Aug 2021
    Mumbai, Maharashtra, India
    • Developed 30+ PowerBI dashboards for insurance data analysis with optimized SQL queries, enhancing management's decision-making and boosting productivity and revenue.• Working in the Data Lake team as a Data Engineer to develop the architecture for Azure Modern Data Warehouse for the organization.
  • Manipal Institute Of Technology
    Undergraduate Research Assistant
    Manipal Institute Of Technology Jan 2019 - Jul 2021
    Worked on an array of research projects on topics related to Multimodal Sentiment Analysis, Evolutionary Computation, Data Mining, Wireless Sensor Networks, Deep Learning and Cyber Security.Projects I worked on:• Impact of Cultural-Shift on Multimodal Sentiment Analysis.• Optimizing Activity Recognition in VideoUsing Evolutionary Computation.• IDS for Wireless Sensor Networks using Frequency Based K-Prototype Clustering and RFC.• Privacy Preserving Data Mining on Sensitive Data.
  • Prixpo
    Software Developer
    Prixpo Apr 2020 - Sep 2020
    Mumbai, Maharashtra, India
    • Enhanced features for the Android Application that connects tourists with the required tour guide based on personal expectations.• Designed and developed algorithms to connect the tourist with the respective tour guide in the most optimized manner based on user inputs.• Designed and marketed an online course that aims at mentoring students into becoming top-notch tour guides.• Developed modules for incorporating VR and AR to enhance the virtual tour experience for the users.
  • Jio
    Data Science Intern
    Jio May 2019 - Jul 2019
    Navi Mumbai
    • Designed an Ensemble Learning Technique under the Guidance of Dr. Shailesh Kumar called as Community Forest Algorithm in which logical communities of related features are constructed on the basis of mutual affinity of features in a dataset. This algorithm outperforms the preexisting Supervised Machine Learning Algorithms and gives detailed insight of the data.• Designed an efficient Resume Parser using text processing libraries in python and Supervised Machine Learning Algorithms for text classification.• Designed Learning Materials for Topics related to Data Science and Machine Learning for the new Recruits at Jio.• Contributed to the Data Agnostic Model that automates Cleaning of the input dataset and outputs Visual Insights about it features.

Niraj Yagnik Skills

Data Science Machine Learning Matlab Html5 C++ Microsoft Word Microsoft Powerpoint Html C Cascading Style Sheets Natural Language Processing Data Analysis Deep Learning Python Sql Object Oriented Programming Data Structures Mac C (Programming Language Data Visualization Java Numpy Anaconda Artificial Intelligence Pytorch Programming Languages

Niraj Yagnik Education Details

Frequently Asked Questions about Niraj Yagnik

What company does Niraj Yagnik work for?

Niraj Yagnik works for Aurexis

What is Niraj Yagnik's role at the current company?

Niraj Yagnik's current role is Co-Founder.

What schools did Niraj Yagnik attend?

Niraj Yagnik attended Uc San Diego, Manipal Institute Of Technology, Udacity.

What skills is Niraj Yagnik known for?

Niraj Yagnik has skills like Data Science, Machine Learning, Matlab, Html5, C++, Microsoft Word, Microsoft Powerpoint, Html, C, Cascading Style Sheets, Natural Language Processing, Data Analysis.

Who are Niraj Yagnik's colleagues?

Niraj Yagnik's colleagues are Daniel Madden, Michael Kamin, Thomas Nath, Michael Tauckus.

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    yahoo.com, tafensw.edu.au

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