Applied Scientist 2
CurrentWorking with Large Language Models & Data pipelines in Turing Team
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Sparsh Gupta is listed as Applied Scientist 2 at Microsoft, a with 189892 employees, based in Bengaluru, Karnataka, India. AeroLeads shows a matched LinkedIn profile for Sparsh Gupta.
Sparsh Gupta previously worked as Data Scientist at Sprinklr and Natural Language Processing at Prodigal. Sparsh Gupta holds Bachelor Of Technology - Btech, Major: Mechanical Engineering | Minor: Machine Learning And Applications from Indian Institute Of Technology, Kanpur.
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As a firm believer in the quote: "You rise by lifting others," please feel free to reach out to me if I can guide/help you 🙂↕️Contact Me:X.Y@gmail.com (X=sparsh999 and Y=gupta) I'm a tech enthusiast with a engineering background, now specializing in data science and machine learning. Skilled in Scikit-learn, Keras, TensorFlow, PyTorch and more, I bring an interdisciplinary approach to tackle real-world challenges through innovative solutions.Academic Excellence: B.Tech from IIT Kanpur, Major: Mechanical Engineering and Minor: ML and ApplicationsProfessional Experience: Currently at Sprinklr Inc., India, I've developed robust ASR systems and conducted EDA on various client calls, enhancing efficiency through automation and troubleshooting. Previous experience includes internships at Siemens Bengaluru and Michigan State University, where I focused on explainability for anomaly detection and interpretable AI.Research Contributions: Published two impactful papers in reputable conferences, focusing on evaluating nonlinear decision trees and fault detection using AutoEncoders and interpretable AI.My Publications:AdConip Conference 2022, Vancouver, Canada: https://ieeexplore.ieee.org/document/9894262IEEE-SSCI Conference 2020, Canberra, Australia: https://ieeexplore.ieee.org/document/9308505Technical Proficiency: Proficient in Scikit-learn, Keras, TensorFlow, Numpy, Pandas, Matplotlib, NLTK, SQL, PyTorch, SciPy, and large language models (LLMs). Experienced in data visualization, analysis, and infrastructure management.Let's connect to explore opportunities for collaboration and mutual growth in the dynamic field of data science! Data Scientist | Machine Learning Engineer | AI Engineer | Research Scientist | Research Engineer
Listed skills include Matlab, Artificial Intelligence, Management, Python, and 14 others.
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Bengaluru, Karnataka, India
Working with Large Language Models & Data pipelines in Turing Team
Gurugram, Haryana, India
– Built ASR models for production for a Brazilian Retail company (Portuguese), a luxury fashion brand (Japanese), a UAE-based airline (French & English), the largest Swiss telecom company (English), & India’s largest private bank (Tamil)– Successfully constructed noise & telephonic filters for augmentation, & conducted EDA on various client calls– Strengthened the robustness of Wav2Vec2 & Whisper against noise & hallucination for improved accuracy and reliability– Spearheaded the automation of daily tasks within the team using scripts and tools to improve efficiency– Used k8s, Grafana & Ingress to monitor live services for the ML team, & troubleshot issues encountered in production
Bengaluru, Karnataka, India
– Paper accepted to AdConip'22 conference, Vancouver, Canada.– Implemented the Interpretability for Black Box models, used for Anomaly Detection Tasks in Industry– Developed a Custom Autoencoder as the Deep Learning model, for the Tasks with Keras and Tensorflow– Formulated & Presented a literature survey, for current Industry leveraged methods involving Explainabilty– Applied SHAP (SHapley Additive exPlanations) & Formalized CounterFactual examples for local explainability– Integrated a Dashboard for the end-users, with Data Analytics and Interpretability sub-sections
Michigan, United States
– Paper accepted to IEEE-SSCI'20 conference, Australia, Canberra.– Worked on various Algorithms in Interpretable AI where we strive to explain the Black Box nature of ML Model.– Learned & Implemented Genetic Algorithm (GA) which are based on Darwin's theory of Evolution in Species on Datasets like:- Breast Cancer Wisconsin Dataset, Truss Dataset & various Synthetic Datasets.– Collated various Algorithms like GAMs (Generative Additive Models), SHAP (SHapley Additive exPlanations) & NLDT (Non-Linear Decision Tree) which are notorious in Interpretable AI-field.– Analyzed the Pros and Cons of the GAMs & Genetic Algorithm which were applied on the Datasets.
– Ismriti Ltd. is an AI & IOT Start-up., based in IIT Kanpur.– Mentored & cleared doubts of participants in Python and basics of Machine Learning.– Provided assistance to prepare Assignments & Quizzes based on the Course Content.
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- Changed Branch from Chemical to Mechanical Engineering after 1st year - Served as the Secretary of IITK Consulting Group - Worked.
Quick answers generated from the profile data available on this page.
Sparsh Gupta works for Microsoft.
Sparsh Gupta is listed as Applied Scientist 2 at Microsoft.
Sparsh Gupta is based in Bengaluru, Karnataka, India while working with Microsoft.
Sparsh Gupta has worked for Microsoft, Sprinklr, Prodigal, Siemens, and Michigan State University.
Sparsh Gupta's colleagues at Microsoft include Zafor Shekh, Michael Munch, Letícia S., Shan Abbasi, and Ahmad Errami.
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Sparsh Gupta holds Bachelor Of Technology - Btech, Major: Mechanical Engineering | Minor: Machine Learning And Applications from Indian Institute Of Technology, Kanpur.
Sparsh Gupta is listed with skills including Matlab, Artificial Intelligence, Management, Python, Keras, Tensorflow, Public Relations, and Microsoft Word.
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