Open to research collaborations & AI roles

Shivam Singh

AI Engineer · Machine Learning Researcher · Founder of MLVerse-Math

Building intelligent systems through Machine Learning, Deep Learning, Reinforcement Learning, Agentic AI, and Mathematical Innovation.

20+
AI Projects
7+
Domains
Curiosity
Shivam Singh — AI Engineer
@ShivamMathtech
SS
Focus
Agentic AI · RL
Mission
Vision 2047
About

Engineer. Researcher. Founder.

Shivam Singh is an AI Engineer and Machine Learning Researcher passionate about building intelligent systems and solving complex real-world problems using Artificial Intelligence. His expertise spans Machine Learning, Deep Learning, Reinforcement Learning, Generative AI, Agentic AI Systems, MLOps, Time Series Forecasting, and Mathematical Modeling.

As the Founder of MLVerse-Math, he is committed to democratizing AI education, promoting open-source innovation, and advancing mathematical foundations for future AI engineers.

His long-term mission is to contribute to India's Vision 2047 through cutting-edge AI research, scalable intelligent systems, and impactful technological innovation.

Engineering
ML, DL, RL, Generative AI, Agentic Systems, MLOps & Time Series.
Research
Mathematical foundations, optimization, explainable & multi-agent AI.
Community
Open-source, education and democratizing AI through MLVerse-Math.
Skills

Full-stack AI capabilities

From classical ML to agentic generative systems and production MLOps.

Machine Learning

RegressionClassificationClusteringEnsemble LearningFeature EngineeringModel Evaluation

Deep Learning

CNNRNNLSTMGRUTransformersAttention Mechanisms

Reinforcement Learning

Q-LearningDQNPPOA2CPolicy GradientsMulti-Agent RL

Generative AI

LLMsRAGLangChainAgentic AIPrompt Engineering

Data Science

PandasNumPyScikit-LearnMatplotlibStatistical Analysis

MLOps

DockerGitGitHub ActionsMLflowCI/CD

Programming

PythonSQLJavaScriptTypeScript
Featured Projects

Selected work & research

Live from GitHub — spanning ML, DL, RL, Generative AI, and applied research.

Research Interests

Where I spend my curiosity

Artificial Intelligence
Machine Learning
Deep Learning
Reinforcement Learning
Agentic AI
Generative AI
MLOps
Cloud Computing
Time Series Forecasting
Explainable AI
Optimization Algorithms
Mathematical Modeling
Founder Spotlight

MLVerse-Math

✦ Founder & Lead Researcher

A research-driven AI learning ecosystem

MLVerse-Math is a research-driven initiative focused on Artificial Intelligence, Machine Learning, Deep Learning, Reinforcement Learning, Mathematical Foundations, Open-Source Development, and AI Education.

The mission is to build a global learning ecosystem where students, researchers, and engineers can collaborate, innovate, and contribute to the future of AI.

Community
Growing
Learning Tracks
AI · ML · Math
Open Source
Active
Mission
Global Impact
Technology Stack & Capabilities

What powers these platforms

Matrix Lab

Tech Stack
ReactTypeScriptHTML5 CanvasTailwind CSSWebGL ShadersVite
Key Capabilities
Matrix Operations
Addition, multiplication, transpose, determinant, inverse, rank, trace, and power operations with step-by-step computation.
Decompositions
LU, QR, Cholesky, SVD, and Eigenvalue decompositions visualized in real time with animated factor graphs.
Transformation Visualizer
2D/3D linear transformations — watch how matrices stretch, rotate, shear, and project vector spaces interactively.
Real-Time Computation
Instant feedback on every input change; supports symbolic and numeric matrix entries.
Educational Mode
Guided walkthroughs, formula hints, and concept cards for students learning linear algebra.
Performance Optimized
WebGL-accelerated rendering for large matrices; runs smoothly in-browser without a backend.

Visualize & Solve Pro

Tech Stack
ReactTypeScriptD3.jsThree.jsHTML5 CanvasMathJaxVite
Key Capabilities
2D Graph Plotting
Cartesian, polar, and parametric plots with zoom, pan, trace, and intersection detection.
3D Surface & Mesh
Interactive 3D surfaces, parametric curves, and mesh plots rendered with Three.js — rotate, zoom, and slice.
Vector Field Visualization
2D/3D vector fields with flow-line tracing, divergence/curl overlays, and gradient visualization.
Interactive Controls
Dynamic sliders for parameters, live equation editing, and touch-friendly gestures on mobile.
Multi-Layer Overlay
Plot multiple functions simultaneously with customizable colors, styles, legends, and annotations.
Export & Share
Export plots as PNG/SVG; generate shareable URLs with embedded state for classroom or publication use.
GitHub Analytics

Open-source in motion

Live data from my GitHub — repositories, languages, and contribution activity.

Repositories
Followers
Total Stars
Following

Most Used Languages

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Contribution Graph
ShivamMathtech GitHub contribution graph
Achievements

Recognition & roles

Founder of MLVerse-Math

Building a global AI learning ecosystem.

Open Source Contributor

Active maintainer & contributor across AI projects.

AI Research Enthusiast

Bridging mathematical theory with applied AI.

Machine Learning Engineer

Designing production-grade ML pipelines & systems.

Reinforcement Learning Practitioner

Hands-on with DQN, PPO, and multi-agent RL.

Technology Community Builder

Mentoring engineers, students and researchers.

Journey

The path so far

Stage 1

Learning Mathematics

Built strong foundations in calculus, linear algebra, probability & optimization.

Stage 2

Exploring Machine Learning

Classical ML — regression, classification, ensembles & feature engineering.

Stage 3

Deep Learning Research

CNNs, RNNs, Transformers and attention-based architectures.

Stage 4

Reinforcement Learning Projects

DQN, PPO, policy gradients and multi-agent systems.

Stage 5

Open Source Contributions

Shipping reproducible code, datasets, and educational tools.

Stage 6

Founding MLVerse-Math

Launched a research-driven AI & mathematics learning ecosystem.

Stage 7

Future AI Research Goals

Agentic AI, explainability, and contributions toward India's Vision 2047.

Contact

Let's build something intelligent

Open to research collaborations, AI engineering roles, and meaningful open-source work.