Sanskar Soni

AI Researcher

Gurugram, Haryana, India4 yrs 6 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in Machine Learning and NLP technologies.
Developed innovative AI tools for Fortune 500 clients.
Strong foundation in Computer Science with a focus on AI.

Stackforce AI infers this person is a Machine Learning Engineer specializing in SaaS applications.

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Skills

Core Skills

Machine LearningNatural Language Processing (nlp)Deep Learning

Other Skills

AlgorithmsC++Cascading Style Sheets (CSS)Data StructuresData VisualizationHTML5JavaScriptManagementProgrammingPython (Programming Language)Teamwork

About

As a passionate Computer Science graduate from the National Institute of Technology, Jaipur, I have always been fascinated by the transformative power of AI and ML technologies. My interests lie at the intersection of machine learning, deep learning, and natural language processing (NLP), where I explore innovative ways to harness the potential of AI to revolutionize industries. Currently, I am diving into the exciting realm of agentic AI, working on developing intelligent agents and copilots for Sprinklr. I am eager to contribute to and be a part of the AI movement that is reshaping our world, bringing cutting-edge technologies to bear on the challenges of today and tomorrow. Let's connect and explore the limitless possibilities that AI has to offer! Email- soni.sanskar@gmail.com

Experience

Sprinklr

3 roles

Senior Machine Learning Engineer

Promoted

Jun 2024 – Present · 1 yr 9 mos

Currently developing Dashboard Copilot, enabling interactive user chats with dashboards and widget creation through an advanced multi-agentic workflow.
Developed an AI-driven tool for sorting, sampling, and summarizing social media mentions with traceable insights and auto-identified research dashboards aka Perplexity for Social Data.

Machine LearningData VisualizationNatural Language Processing (NLP)

Machine Learning Engineer

Jul 2022 – Jun 2024 · 1 yr 11 mos

Developed a few shot intent training system to run on Contact Center
messages. The product is being used by multiple Fortune 500 clients to train and deploy models automatically with just a few clicks.
Developed the 'Paid Post Detection' engine, which is used to predict whether a social media post is Boosted/Organic aiding brands in identifying competitor funding allocation and marketing strategies based on social media post engagements.

Machine LearningNatural Language Processing (NLP)Data Structures

Machine Learning Intern

Feb 2022 – Jun 2022 · 4 mos

Developed and deployed an end-to-end OCR system for Twitter Firehose for arabic, japanese, and chinese language used
by clients to reduce spam and take action on misinformed tweets.

Machine LearningNatural Language Processing (NLP)

Digit insurance

ML Intern

Sep 2021 – Dec 2021 · 3 mos

Created a Deep Learning model to perform the task of Classifying the Tidy and untidy images of cars from the database generated during the Auto Inspection of cars.

Deep Learning

Sprinklr

Data Science Intern

Apr 2021 – Jun 2021 · 2 mos

Worked closely with the team of Data Scientists to create a machine learning pipeline to route the customer queries to the correct endpoint.
Worked extensively with Unsupervised Clustering, and Community Detection Algorithms and also devised a new approach called Iterative Neighborhood Blending to effectively cluster the similar queries
Worked over data from over 17 languages from various social media platforms and reduced the number of clusters by around 8-9 % with the clusters being more coherent.

Machine LearningData Structures