FeaturedLanguage Processing4 min
The Architecture of Meaning
How syntactic structures and semantic roles combine to create the rich tapestry of human expression.
Read more→
Speech & Language Technologist
Where LanguageMeets Intelligence.
Exploring the intersection of Linguistics, Speech Processing, Cognitive Science, and AI to build technologies that understand humans better.
4+
Languages
2+
Years in AI/NLP
MA
Konstanz, Germany
Malayalam·NativeEnglish·FluentHindi·ProficientGerman·A1
About
The Human Side of Technology
A journey from the poetry of language to the science of speech — and the AI systems that will one day understand us.
01
A Passion for Language
Growing up multilingual — native in Malayalam, fluent in English, proficient in Hindi — I learned early that language is more than words. It's culture, identity, and the bridge between minds.
02
How We Process Speech & Meaning
My MA in Linguistics at Jawaharlal Nehru University deepened my fascination with morphology, syntax, and the cognitive machinery behind comprehension. Every utterance is a puzzle of sound, structure, and intent.
03
Curiosity About AI & Cognition
Working at Shaip.ai and Murf AI, I evaluated ASR systems, curated TTS datasets, and engineered LLM prompts — discovering firsthand where linguistic theory meets machine learning.
04
Bridging Humans & Machines
Now pursuing Speech & Language Processing at Universität Konstanz, I'm building the expertise to create technology that doesn't just process language — but understands the humans behind it.
Journey Timeline
My Journey
2019
Language
From Malayalam roots to multilingual mastery — language as the foundation of thought.
2021
Cognition
Studying how minds parse meaning, structure, and context at JNU.
2023
Speech
Hands-on work with ASR, TTS, and speech datasets at Shaip & Murf AI.
2024
AI
Bridging linguistics and machine learning through prompt engineering and NLP.
2025
Future
Pursuing Speech & Language Processing at Universität Konstanz, Germany.
Research & Interests
Exploring the Frontiers
Six interconnected domains where language, mind, and machine intelligence converge.
◈01
Speech & Language Processing
Investigating how machines can perceive, analyze, and generate human speech with linguistic precision.
Investigating how machines can perceive, analyze, and generate human speech with linguistic precision.
ExploreHover to explore→
◎02
Psycholinguistics
Exploring the cognitive mechanisms behind language comprehension, production, and real-time processing.
Exploring the cognitive mechanisms behind language comprehension, production, and real-time processing.
ExploreHover to explore→
◉03
Cognitive Science
Understanding how the mind represents knowledge, memory, and meaning in the service of communication.
Understanding how the mind represents knowledge, memory, and meaning in the service of communication.
ExploreHover to explore→
◇04
Natural Language Processing
Building and evaluating multilingual datasets, LLM prompts, and NLP pipelines for real-world applications.
Building and evaluating multilingual datasets, LLM prompts, and NLP pipelines for real-world applications.
ExploreHover to explore→
◆05
Artificial Intelligence
Designing AI systems that go beyond pattern matching to grasp context, intent, and human experience.
Designing AI systems that go beyond pattern matching to grasp context, intent, and human experience.
ExploreHover to explore→
◐06
Human-Computer Interaction
Creating interfaces where language technology feels natural, accessible, and deeply human-centered.
Creating interfaces where language technology feels natural, accessible, and deeply human-centered.
ExploreHover to explore→
Featured Insights
Knowledge Hub
Thought pieces, research notes, and discoveries at the intersection of language, cognition, and AI.
Cognitive Science6 min
Memory & Language Acquisition
What psycholinguistic research reveals about how we store, retrieve, and produce linguistic knowledge.
Read more→
AI & Linguistics5 min
Beyond Token Prediction
Why the next generation of language models must integrate linguistic theory, not just scale.
Read more→
Speech Technology7 min
Evaluating ASR in the Wild
Lessons from multilingual ASR evaluation — accuracy metrics alone don't capture real-world robustness.
Read more→
Research Notes3 min
Prompt Engineering as Linguistics
Designing LLM prompts is applied pragmatics — context, register, and intent shape every output.
Read more→
Thought Piece8 min
The Empathy Gap in AI
Technology that understands humans must account for culture, emotion, and the unspoken dimensions of communication.
Read more→
Interactive
How I Think About Language
Click any node to explore the connections between language, cognition, and intelligence.
NODE · COGNITION
Human Cognition
The central hub — attention, inference, and world knowledge that make language understanding possible.
Future Vision
Building Systems That Understand Humans
I believe the next generation of AI will not simply process language—it will understand context, intent, and human experience. My journey is focused on exploring that future.
M.A. Speech & Language Processing · Universität Konstanz
Personal Values
What Drives Me
The principles that guide my research, work, and vision for language technology.
✦
Curiosity
An endless drive to ask why language works the way it does.
◈
Research
Grounding ideas in evidence, experimentation, and rigorous inquiry.
◎
Innovation
Pushing boundaries where linguistics meets emerging technology.
◉
Empathy
Building systems that respect human diversity and experience.
◇
Lifelong Learning
From Kerala to Konstanz — always evolving, always exploring.
Get in Touch
Let's Connect
Interested in language technology, research collaboration, or just a thoughtful conversation about the future of AI? I'd love to hear from you.