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Stelvin Saji

Mumbai, India

Founder of MorphAI

Stelvin Saji Points
Academic 0
Author 246
Influencer 0
Speaker 3
Entrepreneur 20
Total 269

Points based upon Thinkers360 patent-pending algorithm.

Thought Leader Profile

Portfolio Mix

Company Information

Areas of Expertise

AI 30.05
AI Ethics
AI Infrastructure 100
AI Orchestration 64.57
Analytics
Careers 39.13
Design 60.43
Design Thinking 32.40
DevOps 92.22
Digital Transformation 30.06
Education 30.16
Engineering
Generative AI 32.81
Innovation 30.71
IT Leadership
Open Source 39.29
Privacy 30.54
Quantum AI
Security 30.15
Startups 34.11

Industry Experience

High Tech & Electronics
Higher Education & Research

Publications & Experience

4 Books
The Prompt Engineer's Bible
Stelvin Saji
March 12, 2026
Most people are whispering to AI. This series teaches you to command it.

The Prompt Engineer's Bible is the only collection built for those who want to operate at a level most users don't even know exists. Two volumes. Zero fluff. Pure, precision-engineered frameworks that turn AI into the most powerful tool you've ever touched.

This is the series that separates the professionals from the prompt-and-pray crowd.

Whether you're coding at speed, designing without limits, writing content that converts, or positioning yourself as the $300/hour force multiplier every team is desperately hunting for the frameworks inside these pages don't just improve your workflow. They rebuild it from the ground up.

Silicon Valley's best-kept secret isn't talent. It's leverage. Prompt engineering, done at this level, is the purest form of leverage available to anyone with a keyboard and a vision.

The Prompt Engineer's Bible isn't a reading experience. It's an upgrade.

Two books. One mission. Make you dangerous.

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Tags: AI Infrastructure, Careers, DevOps

Mastering AI Engineering: Prompt Frameworks for the Elite Developer: A Guide to Transforming AI into a $300/Hour Silicon Valley Force Multiplier
Stelvin Saji
March 03, 2026
Some developers prompt AI. And some engineers architect with it. This book was built for the second group, the ones who want to operate at 10x output, ship with confidence, and permanently separate themselves from the 95% still typing one-line prompts into a chat box.

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Tags: AI Infrastructure, Generative AI, Startups

Complete Prompt Master Manual: Essential Prompts for Coding, Design, Writing & More
Stelvin Saji
December 09, 2025
Master the art of AI prompting with 500+ high-value prompts for coding, design, writing, productivity, and more.

The Complete Prompt Master Manual is the all-in-one reference built for professionals, creators, and beginners who want to get consistently powerful results from AI tools like ChatGPT, Gemini, Claude, and Llama. Instead of guessing what to type, you get a proven collection of battle-tested prompts designed to improve accuracy, speed, and creativity across all major fields.

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Tags: AI Infrastructure, AI Orchestration, Open Source

Expressive Emojis: Adding Playful Expressions with HTML, CSS & JS
Stelvin Saji
July 23, 2024

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Tags: Design, Design Thinking, DevOps

3 Citations
Face Morphing in Images: A Novel Approach Using Aligned Facial Landmarks (v1.5)
Stelvin Saji
March 31, 2026
Face morphing in real-time browser environments demands more than visual fidelity; it requires stability under motion, interpretability of neural outputs, and performance that scales reliably across consumer hardware. This work presents MorphAI v1.5, a production-grade upgrade to the animated face-swapping framework introduced in v1, extending its capabilities with a significantly optimized WebGL rendering pipeline, a re-engineered multi-subject tracking architecture, and a comprehensive suite of diagnostic overlays designed to make facial computation fully observable and verifiable.

The system sustains 60 frames per second on modern mobile hardware through deliberate low-level optimizations, including reduced draw calls, efficient buffer management, and intelligent frame synchronization that eliminates jitter and temporal artifacts. Multi-subject detection is handled by a redesigned bounding box system that maintains stable alignment across dynamic scenes involving rapid movement, scale variation, and orientation shifts, ensuring that every morph operation remains spatially coherent and distortion-free.

To advance interpretability, MorphAI v1.5 introduces three diagnostic overlays: a high-density Face Mesh that maps a polygonal topology directly onto detected faces for sub-millimeter tracking precision; a 68-point Landmark system that anchors expression mapping and feature alignment to consistent anatomical reference nodes; and a Heatmap overlay that renders temporal velocity gradients across facial regions, surfacing micro-expressions and motion dynamics imperceptible to the human eye. A Split View Engine further enables side-by-side comparison between source input and neural output, transforming the pipeline from an opaque black-box system into a fully auditable visual environment.

The framework additionally supports seamless export of morphed outputs beyond the live canvas and integrates a keyboard shortcut system for streamlined control in power-user workflows. MorphAI v1.5 is implemented as a browser-native system optimized for consumer-grade hardware and is publicly deployed on Hugging Face. These advancements collectively establish a robust foundation for interactive media, creative visual tooling, and research applications demanding uncompromising performance, precision, and transparency.

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Tags: AI, Privacy, Startups

Investigating Human Silhouettes: A Study of Live Human Pin Art Installations
Stelvin Saji
January 27, 2026
Pin art has progressed from an early mechanical experiment to a recognized form of large-scale participatory visual expression. Its conceptual foundations originate in mid-twentieth-century research on pinscreen animation, a technique that employed dense arrays of movable pins to produce highly detailed, shadow-based imagery through direct physical manipulation. This principle was subsequently realized in an interactive, sculptural format during the 1970s through the work of artist Ward Fleming, who developed the boxed pin art object, a structured grid of displaceable metal pins capable of recording transient three-dimensional impressions of hands, faces, and everyday objects. Following its presentation in experimental exhibitions and later patenting and commercialization, pin art achieved widespread recognition as a tactile and pedagogical medium, becoming a familiar presence in offices, educational institutions, and science museums. Despite variations in scale, materials, and fabrication, its fundamental mechanism has remained consistent: the translation of physical contact into a visible spatial imprint.

More recently, pin art has experienced renewed cultural visibility through its circulation within digital and social media environments. Short-form visual demonstrations, typically characterized by the sudden emergence of a three-dimensional form from an ostensibly flat surface, correspond closely with contemporary modes of algorithmically mediated content consumption. The immediacy of this transformation, together with the perceptual illusion of depth generated through physical displacement, renders pin art particularly effective within short-form video contexts, facilitating broad dissemination and sustained audience engagement across digital platforms.

This study investigates contemporary computational strategies for simulating and extending pin art within digital environments, employing a practice-based research methodology that integrates interactive systems and visualization techniques. By situating pin art within computational frameworks, the research reconceptualizes it as an interdisciplinary practice operating at the intersection of embodied interaction, interactive art, and technological mediation. Within this framework, pin art is examined not as a static artifact, but as an adaptive system capable of supporting collective participation and experiential interpretation

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Tags: Digital Transformation, Education, Innovation

Face Morphing in Images: A Novel Approach Using Aligned Facial Landmarks
Stelvin Saji
November 25, 2025
Face swapping, the process of replacing one individual’s facial identity with another while preserving visual realism, has attracted increasing attention across digital entertainment, augmented reality, creative media, and digital forensics. This work presents an animated face-swapping system for static images that enables continuous and seamless cycling of facial identities among multiple individuals detected within a single frame.

The proposed method employs precise facial landmark detection to compute tightly aligned, rotation-aware bounding boxes that isolate only the inner facial oval, intentionally excluding hair, background regions, and other non-facial artifacts. To achieve visually coherent integration across identities, the pipeline combines color normalization, lighting transfer via homomorphic filtering, and unsharp masking, followed by seamless cloning using OpenCV. Facial transitions are animated through easing functions and temporal interpolation, producing smooth morphing effects rather than abrupt identity replacements.

The system is implemented as a high-performance, React-based web component optimized for execution on consumer-grade hardware. Experimental observations demonstrate improved facial alignment, smoother temporal transitions, and enhanced perceptual realism when compared with baseline static face-swapping techniques. These characteristics make the system suitable for interactive media applications, creative visual tools, and privacy-preserving identity transformation workflows.

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Tags: AI, Privacy, Startups

1 Founder
MorphAI
Stelvin Saji
September 03, 2024
MorphAI develops advanced facial transformation systems that enable seamless identity exchange in static imagery while preserving structural integrity and visual realism. The technology supports continuous, multi-person face cycling within a single frame, creating fluid and coherent identity transitions. Designed at the intersection of computer vision, procedural rendering, and expressive interaction, MorphAI redefines how facial data can be transformed, visualized, and experienced across digital media environments.

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Tags: AI Orchestration, Generative AI, Innovation

1 Workshop
The Hidden Potential of Face Morphing
Nerdearla Chilie
April 16, 2026
Face morphing is usually treated as a visual gimmick, but its underlying mechanics reveal something more important: it is one of the few technologies that merges geometry, perception, and real-time computation to model how humans interpret identity. This talk breaks down the core innovations powering modern morphing systems, landmark alignment, mesh interpolation, temporal blending, and model-driven feature extraction, and explains how these techniques allow transformations that feel natural to the human eye.

Building on this foundation, the session explores an emerging frontier: using morphing to create adaptive interfaces, emotion-aware systems, and dynamic digital characters that respond to users in real time. These applications reshape entertainment, learning, accessibility, and AR experiences. The talk concludes with a practical ethical framework addressing consent, transparency, and identity integrity, key considerations for any technology that manipulates human faces.

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Tags: Digital Transformation, Privacy, Security

Thinkers360 Credentials

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Events

1 Physical Event
The Hidden Potential of Face Morphing

Location: Santiago Metropolitan Region, Chile    Date : April 16, 2026 - April 18, 2026     Organizer: Nerdearla Chilie

Face morphing is usually treated as a visual gimmick, but its underlying mechanics reveal something more important: it is one of the few technologies that merges geometry, perception, and real-time computation to model how humans interpret identity. This talk breaks down the core innovations powering modern morphing systems, landmark alignment, mesh interpolation, temporal blending, and model-driven feature extraction, and explains how these techniques allow transformations that feel natural to the human eye.

Building on this foundation, the session explores an emerging frontier: using morphing to create adaptive interfaces, emotion-aware systems, and dynamic digital characters that respond to users in real time. These applications reshape entertainment, learning, accessibility, and AR experiences. The talk concludes with a practical ethical framework addressing consent, transparency, and identity integrity, key considerations for any technology that manipulates human faces.

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