Shubham Tiwari

AI Researcher

United States0 mo experience

Key Highlights

Designed advanced AI systems for astrophysics applications.
Achieved over 93% precision in anomaly detection models.
Developed extensive synthetic datasets for training.

Stackforce AI infers this person is a Data Scientist specializing in Machine Learning and Data Engineering for scientific applications.

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Skills

Core Skills

Deep LearningData EngineeringSalesforce DevelopmentData AnalysisData Visualization

Other Skills

Convolutional Neural NetworksTime-Series AnalysisData GenerationSalesforceSOQLAPI IntegrationProcess AutomationStatistical AnalysisData CleaningWorkflow AutomationBusiness Process ManagementIntegration PatternsEvent-Driven ArchitectureApex (Salesforce)Object-Oriented Programming (OOP)

About

I build intelligent systems that decode complex patterns, from cosmic noise to enterprise text. Recent MS Graduate (Dec 2025) actively seeking full-time roles in Machine Learning and Data Engineering. My work bridges the gap between research and application, using Deep Learning to solve problems in astrophysics, bioinformatics, and automation. TECHNICAL FOCUS Multi-Agent AI Systems: Currently architecting "TINA Ultimate," an experimental AI ecosystem exploring how independent agents and LLMs collaborate to execute autonomous tasks. Signal Processing & Space Data: Developed pipelines to process multi-modal data from LIGO applying noise-reduction algorithms to detect gravitational wave glitches. Deep Learning Applications: Applied CNNs and LSTMs to diverse datasets, including predicting protein families and classifying human activity from sensor telemetry. TECH STACK Core: Python, SQL, PyTorch, TensorFlow AI & ML: Transformers (Hugging Face), Computer Vision (YOLO), Time-Series Forecasting Deployment: Docker, Git, Linux, CI/CD shubhamtiwari.dev

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Michigan technological university

Graduate Research Assistant

Mar 2025 – Dec 2025 · 9 mos · United States · Hybrid

Designed and trained a 1D-Convolutional Neural Network for time-series anomaly detection in gravitational wave signals.
Developed synthetic data generation techniques to create over 15,000 high-fidelity training samples.
Achieved over 93% precision on validation sets, showcasing robust model generalization despite limited real-world data.

Convolutional Neural NetworksTime-Series AnalysisData GenerationDeep LearningData Engineering

Thesmartbridge

Salesforce Developer

Apr 2022 – Jun 2022 · 2 mos · Remote

Designed and optimized databases and SOQL queries to enhance customer data analysis.
Developed process automation and workflows using both declarative and programmatic methods.
Integrated APIs and created Lightning Web Components to improve system functionality.
Achieved Super Badges in Apex Specialist and Process Automation Specialist, showcasing advanced skills.

SalesforceSOQLAPI IntegrationProcess AutomationSalesforce DevelopmentData Engineering

Globalshala

Data Analyst

Mar 2022 – Apr 2022 · 1 mo · Remote

Developed interactive visualizations that transformed complex datasets into actionable business intelligence.
Applied data cleaning, exploration, and statistical analysis techniques to uncover meaningful patterns.
Gained hands-on experience with visualization best practices and design principles for effective data communication.

Data VisualizationStatistical AnalysisData CleaningData Analysis