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Stelvin Saji

Stelvin Saji Points
Academic 0
Author 184
Influencer 0
Speaker 0
Entrepreneur 20
Total 204

Points based upon Thinkers360 patent-pending algorithm.

Thought Leader Profile

Portfolio Mix

Company Information

Areas of Expertise

AI 30.03
AI Ethics
AI Infrastructure 94.62
AI Orchestration 75.90
Analytics
Design 60.43
Design Thinking 32.40
DevOps 61.11
Digital Transformation 30.03
Education 30.16
Engineering
Generative AI 32.81
Innovation 30.71
IT Leadership
Open Source 39.33
Privacy 30.15
Quantum AI
Startups 33.98

Industry Experience

High Tech & Electronics
Higher Education & Research

Publications & Experience

3 Books
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

2 Citations
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

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