Emotional AI
Systems that read tone, context, and the unspoken weight behind a sentence — AI that feels less like a query engine, more like a thoughtful collaborator who notices when you're tired, frustrated, or finally onto something.
Note — A personal portfolio of self-initiated research, learning, innovation, technical exploration, and my personal aspiration to serve humanity through technology
Technology Leader · AI Explorer
Technology has been more than a career for me — it has been over two decades of solving complex problems, building scalable platforms, leading high-performing engineering teams, and continuously learning through innovation.
As a technology leader with 20+ years of experience, I've been fortunate to architect and scale large-scale e-commerce, loyalty, and enterprise platforms — transforming ideas into reliable, high-impact products. I enjoy simplifying complexity, driving engineering excellence, and building technology that delivers measurable business value.
While my foundation lies in scalable software engineering, my curiosity has led me toward the next frontier of AI. Today, I am deeply exploring Emotional AI, Metacognition, AI Companions, Digital Clones, Voice Cloning, and Human-Centric Intelligence — building systems that go beyond data processing to understand human behavior, emotions, memories, and decision-making.
I am particularly fascinated by the convergence of voice intelligence, behavioral modeling, memory architectures, and emotionally adaptive AI — with the vision of creating digital systems that feel natural, empathetic, and deeply personal.
I believe the future of AI is not defined by larger models alone — it will be shaped by systems that understand people, adapt with experience, reason about their own decisions, and augment human potential.
Twenty years building products. The next chapter: technology that quietly helps people through life's hardest days.
Free, accessible, human — by design
Systems that read tone, context, and the unspoken weight behind a sentence — AI that feels less like a query engine, more like a thoughtful collaborator who notices when you're tired, frustrated, or finally onto something.
AI that reasons about its own reasoning — knowing what it doesn't know, when to ask, when to slow down, when to revise.
A faithful digital counterpart — voice cloned, memory captured, behavior modeled. One that can speak, decide, learn in your stead. Long after you've stepped away.
AI built around how humans think, feel, and struggle. Free, accessible technology that meets people where they are — especially when life is hardest.
The most natural human interface — finally adopted by machines. Cloning, synthesis, and conversation that knows when to listen.
The future of AI is not defined by larger models alone — it will be shaped by systems that understand people, adapt with experience, and reason about their own decisions.
Director of Engineering
Gurugram, Haryana, India
Sr. Engineering Manager
Gurgaon, India
Co-Founder & CTO
Co-Founder
Senior SWE → Group Lead → Tech Lead → Tech Manager → Engineering Manager
New Delhi Area, India
Software Engineer
Mumbai, Maharashtra, India
Game Developer
New Delhi
Birla Institute of Technology and Science, Pilani
An all-India Institute of Eminence since 1964. Multi-campus excellence in engineering, sciences, and management — where innovation and leadership go hand-in-hand.
Recent · Post-GraduateInternational Institute of Information Technology, Hyderabad
A premier autonomous research university established 1998. Leading India's research in computer science, AI/ML, language tech, and emerging digital sciences.
Certification · ML & Deep LearningDr. A.P.J. Abdul Kalam Technical University
One of India's largest technical universities, named after the Missile Man Dr. APJ Abdul Kalam. Affiliating hundreds of engineering colleges across Uttar Pradesh.
Foundation · UndergraduateCloned voice, behavioral patterns, and a small memory architecture — learning to speak, decide, and remember the way one person does. Currently teaching it when not to answer.
Can a 7B-parameter model meaningfully reason about its own confidence — say "I'm not sure" instead of hallucinating? Early experiments suggest yes, with the right scaffolding.
Mental health, isolation, accessibility, language barriers, navigating bureaucracy — the most valuable AI won't be the loudest. It'll be the kind that someone needed and could actually reach.
A proven tool to identify how you feel — the first step in regulating your emotions. Used by psychologists, therapists, and anyone building emotional intelligence..
A guide to cloning voices in Hindi-English — preserving cadence, breath, emotion, and the ethical frame around it. Preserving your authentic cadence — the pauses, the breath, the Hinglish rhythm — is what makes a clone feel like you, not just a generic voice. A practical, open-source-first guide.
What happens when intelligence becomes aware of itself?
One personalised digital companion for every citizen of India — multilingual, profession-adaptive, age-inclusive, built on open networks and India Stack..
A Digital Companion does not just respond — it feels the shape of your mood, reflects on its own reasoning, and grows with you across time. It is memory, empathy, and intelligence — fused.
Personal, Relationship, Behavioral, Emotional & Historical is fine-tuned on a separate dimension of you. Here's exactly what each one knows, and how it speaks..
10 techniques that unlock Claude's full potential.
It never writes the full answer in one shot. It goes step by step — predicting a single next word, again and again, until a sentence appears. Here's the whole pipeline, one station at a time.
The complete engineering path — data collection → processing → training → evaluation → deployment → continuous improvement — written the way a veteran would actually run the project. Every stage includes the models, tools, volumes, and hard-won decisions that separate a working behavioural LLM from an expensive experiment.
Step-by-step process to create a perfect Indian-language voice model — covering data collection, phoneme mapping, training pipeline, and production deployment.
A CNN + LSTM hybrid architecture for Indian-language emotion analysis — spatial pattern extraction fused with sequential context, tuned for Hindi script and Hindi-English code-switching.
where technology meets the deepest human feeling.
Technical systems and personal lives break for different reasons — but they respond to the same disciplined process. Six stages, applied through two lenses, turn "I don't know where to start" into a repeatable path forward.
Four terms that get used interchangeably in every boardroom — and shouldn't be. Each solves a different problem. Understanding the difference is the difference between picking the right tool and shipping an expensive mistake.
You press Enter. Tokens stream back in milliseconds. Most people think that's magic. It's a pipeline. Here is every stage — from your keystroke to the typing effect on your screen.
No explorations in this category yet — check back soon.
Open to advisory work, collaborations, and conversations on Emotional AI, Metacognition, Voice intelligence, and Human-Centric Intelligence.