Sparsh Gupta — AI Researcher

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 Applications Professional 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/9894262 IEEE-SSCI Conference 2020, Canberra, Australia: https://ieeexplore.ieee.org/document/9308505 Technical 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

Stackforce AI infers this person is a Data Scientist specializing in AI and Machine Learning within the SaaS industry.

Location: Bengaluru, Karnataka, India

Experience: 3 yrs 8 mos

Skills

Machine Learning
Large Language Models (llm)
Data Science
Speech Recognition
Natural Language Processing (nlp)
Artificial Intelligence (ai)

Career Highlights

Expert in developing ASR models across multiple languages.
Published impactful research on interpretable AI.
Strong background in data science and machine learning.

Work Experience

Microsoft

Applied Scientist 2 (1 yr 10 mos)

Sprinklr

Data Scientist (1 yr 10 mos)

Prodigal

Natural Language Processing (2 mos)

Siemens

Explainability for Anomaly Detection (3 mos)

Michigan State University

Interpretable & Explainable Artificial Intelligence (4 mos)

iSMRITI

Machine Learning & Python, Teaching Assistant (1 mo)

Education

Bachelor of Technology - BTech at Indian Institute of Technology, Kanpur

Senior Secondary Education at SLS DAV Public School - Delhi, India

Sparsh Gupta

AI Researcher

Bengaluru, Karnataka, India3 yrs 8 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in developing ASR models across multiple languages.
Published impactful research on interpretable AI.
Strong background in data science and machine learning.

Stackforce AI infers this person is a Data Scientist specializing in AI and Machine Learning within the SaaS industry.

Contact

sparsh999.gupta@gmail.com LinkedIn

Skills

Core Skills

Machine LearningLarge Language Models (llm)Data ScienceSpeech RecognitionNatural Language Processing (nlp)Artificial Intelligence (ai)

Other Skills

AlgorithmsData AnalyticsDeep LearningGen AIGrafanaKubernetesManagementMicrosoft ExcelMicrosoft PowerPointMicrosoft WordNLTKPublic RelationsPyTorchPython (Programming Language)React.js

About

Experience

Microsoft

Applied Scientist 2

May 2024 – Present · 1 yr 10 mos · Bengaluru, Karnataka, India · On-site

Working with Large Language Models & Data pipelines in Turing Team

Large Language Models (LLM)Deep LearningMachine LearningPython (Programming Language)

Sprinklr

Data Scientist

Jul 2022 – May 2024 · 1 yr 10 mos · Gurugram, Haryana, India · On-site

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

Python (Programming Language)Speech RecognitionData ScienceGrafanaGen AIKubernetes+3

Prodigal

Natural Language Processing

May 2022 – Jul 2022 · 2 mos · Mumbai, Maharashtra, India

Python (Programming Language)Machine LearningNatural Language Processing (NLP)TransformersNLTK

Siemens

Explainability for Anomaly Detection

May 2021 – Aug 2021 · 3 mos · 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

Python (Programming Language)Artificial Intelligence (AI)Machine LearningReact.js

Michigan state university

Interpretable & Explainable Artificial Intelligence

May 2020 – Sep 2020 · 4 mos · 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

Machine Learning & Python, Teaching Assistant

Jun 2019 – Jul 2019 · 1 mo

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.