Welcome to my website
Check out my about tab to view my resume/cvπ and portfolioπ¨
About Me
The world is my stage, and I am the storyteller, weaving poetry into the world through design. Every line a verse, every space a canvas, every story a path seeking its voice, every problem an opportunity to innovate, every interaction a rhythm in the symphony of design. Through the language of story, design, and tech, I bring unseen moments to life, weaving meaning into the tangible and the abstract.
I was born with the ability to design and impact the world around me. My journey began with architecture, shaping built spaces that define how people live and interact. It expanded into interior design, crafting environments that enrich everyday experiences, and into production design, framing cinematic worlds that tell compelling stories. Now, as a Computational Thinker, I merge design thinking with technology, algorithms, and spatial intelligence.
"I am an Architect and Computational Designer by mind, but a storyteller at heart."
I strive to discover the narratives woven into people's lives and the world around us, using them to develop interventions that are innovative yet poetic, driven by logic yet filled with soul. I seek to craft designs that make the world more intuitive, meaningful, and connected, ensuring that technology enhances human experienceβwithout losing the beauty, rhythm, and poetry that make life extraordinary.
Education
M.S. Computational Design Practice
Graduate School of Architecture, Planning and Preservation (GSAPP)
Columbia University, New York, USA
2024 - 2025
Bachelor of Architecture
Kamla Raheja Vidyanidhi Institute of Architecture And Environmental Studies (K.R.V.I.A)
Mumbai, India
2017 - 2022 | CGPA - 8.54
Professional Work
Junior Architect
Sameep Padora & Associates - sP+a, Mumbai, India
Nov 2022 - May 2024
Dalmia Polypro PET Recycling Plant Nashik, Mumbai, India
Admin Building, Entrance Block + Occupational Health Centre, Canteen, Temple, Security Cabin.
Lead Architect of the project, Concept Design, Design Development, Resolution, 3D views, Presentation drawings, Construction Drawings, Site visits and Consultant coordination.
High Performance Centre - Chennai Super Kings, Chennai, India
Design Development, Resolution, 3D views, Presentation Drawings and Consultant coordination.
Commercial Office Building - KSM-66 Pharma, Hyderabad, India
Plan resolution, Facade exploration, 3D views and Presentation drawings.
Residential Building - Kanoria House, Alibaug, India
Grasshopper coding and 3D geometry for Flooring pattern.
Intern Architect
Abraham John Architects - AJA, Mumbai, India
Jan 2021 - July 2021
Lead Projects:
- Trinity Apartment
- Lokal Park-let Restaurant, New Jersey
Lead Architect of the project, Concept Design, Design Development, planning and Resolution, 3D views, Presentation drawings, Site visits and Consultant coordination.
Other Projects:
- Public Plaza Linking Road Junction
- Celebrity Luxury Apartment in Rustomjee
- Nathani Traffic Island Amphitheatre
- Open Spaces Book for Mumbai
- Roundabout Junction at 19th Road
- Carter Road to Mahim Fort Promenade
- Juhu Fire Station Redevelopment
- St. Stephen's Garden Development
Concept Design, Design Development, planning and Resolution, 3D views, Presentation drawings and Site visits
Junior Production Designer
Baked Brick Productions & Artree Productions
June 2022 - Nov 2022
Assisted in the production of 11 advertisements, photoshoots, and videoshoots, enhancing creative storytelling and visual execution.
Freelance Architect and Interior Designer
Independent Practice
July 2018 - Present
Crafted 10 diverse projects spanning office spaces, residential environments, farmhouses, and a multifunctional cloud kitchen.
Publications
Research and Documentation
- Architecture of Liminal Identities (Kohima Study Trip Documentation 1) - July - Sept 2020
- Objects, Institutions, Identities (Kohima Study Trip Documentation 1) - July - Sept 2020
- Scrutinization of "THE FAMILIAL" Sensitivity in Mumbai (Design Dissertation Volume) - Aug - Dec 2020
Electives
M.S. Computational Design Practice (MS.CDP)
- Methods as Practice, Practice as Methods (Studio) - Violet Whitney, William Martin
- Computational Modeling - Luc Wilson, Meli Harvey
- Mapping Systems - Mario Giampieri
- Computational Design Workflows - Celeste Layne
- Explore, Explain, Propose (Studio) - Laura Kurgan, Snoweria Zhang
- Design Intelligence - Danil Nagy
- Seeing with Algorithms - Catherine Griffiths
- Metatool - Dan Taeyoung
- Spatial UX - Violet Whitney
- Data Visualization for Architecture, Urbanism and the Humanities - Jia Zhang
- Design in Action (Studio) - Seth Thompson, Catherine Griffiths
- Spatial Data Narratives - Josh Begley
- Spatial AI - William Martin
- Exploring Urban Data with Machine Learning - Jonathan Stiles
Technical Skills
Web Development
- Front-end: HTML, JavaScript
- Styling & UI: CSS, Figma
- Web Rendering & Data Viz: Three.js, D3.js
- Back-end: Java, Python, Node.js
- Database & Storage: Firebase
- Code Management & Collab: GitHub
Computational Tools
- GIS & Mapping: QGIS, Mapbox, Leaflet
- Machine Learning: Anaconda, TensorFlow, Roboflow, Hugging Face
- AI Tools: OpenAI, ChatGPT, Midjourney
- IoT & Automation: IFTTT, Arduino IDE
Design Software
- 2D Design: AutoCAD
- 3D Design: SketchUp, Rhino + Grasshopper + plugins
- BIM: Revit, Archicad
- Rendering & Simulation: V-Ray, Lumion, Enscape, Twinmotion, Blender
- Graphics & Storytelling: Adobe Creative Cloud, Microsoft Suite, Procreate
Competitions
- 2021 - Asia Young Designer Award by Nippon Paints (Entry for Dissertation)
- 2021 - Arch Thesis of the Year by The Charette (Entry for Dissertation)
- 2021 - KVDF Forum by CEPT, Ahmedabad (Entry for Dissertation)
- 2021 - WWF Competition (Collab with AJA)
- 2021 - Tata Steel Competition (Collab with AJA)
- 2021 - Objects Institutions Identities (COA Competition)
- 2020 - Objects Institutions Identities (Virtual Exhibition @ CEPT)
- 2020 - A Homestead in Sundarbans (By Sundabari)
- 2020 - The Little Big Loo: Rethinking Public Toilet (By Volume Zero)
- 2019 - Sidhpur Documentation (COA Competition)
Achievements
- 2022 - Dissertation Talk @ Thesis Forum by L.S. Raheja
- 2022 - Future Exhibition 2022 by GAFA (Shortlisted for Dissertation)
- 2022 - K.R.V.I.A Colloquium (Shortlisted for Dissertation)
- 2021 - Rank 1 (Bachelor of Architecture)
- 2021 - Tata Steel Competition @ AJA (Overall Academics)
- 2021 - Rank 1 (Overall Academics)
- 2020 - Rank 1 (Technology & Dissertation)
- 2020 - A Homestead in Sundarbans by Sundabari (Shortlisted in Top 50)
- 2019 - Rank 1 (Architectural Design)
- 2018 - Rank 1 (Overall Academics)
- 2017 - Top 5 (Overall Academics)
MEMENTO
Real time Urban Experiences
Project advisor - Juan Francisco Saldarriaga
MEMENTO is a real-time platform that captures urban experiences happening across the city, aiming to prevent people from drifting into oblivion (the state of being unaware or unconscious of what is happening) and instead transforming those moments into engaging odysseys (a long and eventful or adventurous journey or experience).
It empowers users to discover, capture, and engage with the mementos around them during their commutes, turning everyday journeys into moments of exploration, creation, and interaction.
MEMENTO serves as an interaction, intersection, and interplay between the city, its people, and their experiences β a platform:
By the people and the city,
For the people and the city,
Of the people and the city.
Role of Machine Learning and Computation in MEMENTO
ML Pipeline for Automated Urban Experience Classification
Exploring Urban Data with Machine Learning - Jonathan E. Stiles
The Machine Learning pipeline for public mementos in MEMENTO is designed to automate the classification and tagging of public content sourced from platforms such as Secret NYC, Reddit, NYC Bucket List, Newsbreak, and more.
The pipeline consists of three primary models β Category Classification, Tag Prediction, and Duration Estimation β each trained using supervised learning techniques. Logistic Regression with One-vs-Rest strategy and Random Forest classifiers are employed to predict relevant categories and multiple tags, while Decision Trees handle ordinal duration estimation.
By implementing this ML pipeline, MEMENTO enhances the consistency and accuracy of content classification, enabling the platform to transform unstructured public content into structured, contextually enriched mementos that align with its existing taxonomy.


Studio In Flux
how spatial configurations influence movement within the Columbia GSAPP Studio.
Spatial AI - William Martin
in collaboration with Manas Bhatia
Studio-In-Flux is an experimental research project that examines how spatial configurations influence movement and interaction within the Columbia GSAPP Studio. By analyzing the dynamic interplay between people, objects, and spatial arrangements, the project seeks to uncover hidden circulation patterns and behavioral trends that shape the studio environment. The goal is to reimagine workspace design by making these invisible dynamics visible and actionable.
The project employs a computational simulation built on agent-based modeling, mapping the studio as a responsive digital environment. The simulation tracks how agents (students, faculty, staff) navigate desks, chairs, and pathways, generating real-time heatmaps and efficiency scores for different spatial layouts. Using data-driven analysis and spatial AI, Studio-In-Flux identifies bottlenecks, optimizes circulation, and explores how spatial interventions can foster more effective, engaging studio experiences.


Oblivian to Odyssey
This research delves into the disconnection between people and their urban surroundings, examining how gaze patterns, physical interactions, and time-location dynamics have transformed commutes into passive, oblivious routines. By mapping these behaviors in Oblivion, the study highlights the erosion of meaningful engagement with the city.
In response, Odyssey emerges as a speculative intervention, reimagining commutes as opportunities for active exploration and connection. Designed for those seeking more than routine transit, it leverages AI-driven personalization and spatial computing to turn city streets into interactive playgrounds, fostering deeper interactions and rediscovery of the urban landscape.


BENTO
Next-Gen Retail Store Management Platform
Design Intelligence By Danil Nagy
in collaboration with Chien-Ta (Genda) Lin, Yilin Zheng, Yuxi (Sissie) Dai And Zhiqing (Catherine) Ye
BENTO is a next-generation platform designed to optimize retail store management through data-driven spatial analysis and algorithmic geometry. The project leverages customer behavior insights, spatial flow patterns, and sales data to generate adaptive store layouts that enhance both product placement and operational efficiency. By transforming retail spaces into dynamic, data-responsive environments, BENTO aims to improve customer experiences while maximizing space utilization.
To achieve this, BENTO integrates computational design tools like Rhino and Grasshopper, utilizing an Adjacency Layout Generator to create context-specific spatial configurations. The platform incorporates real-time data inputs from NYC Open Data, enabling tailored analysis for specific urban settings. Machine learning algorithms further refine layout strategies, generating actionable recommendations that align spatial arrangements with observed user behavior. Through this data-driven approach, BENTO bridges the gap between spatial design and retail management, creating more intuitive, impactful retail environments.
Hue Knew
Interactive Film Recognition Game
Data Visualization for Architecture, Urbanism and the Humanities - Jia Zhang
in collaboration with Hao Lee and Julia Kwon
Hue Knew is an interactive quiz game that challenges players to identify films based on blurred stills and posters, testing their ability to deduce genre, release year, and title from abstracted visuals. By integrating the TMDB API, the game ensures a continuously updated content pool, creating a dynamic and engaging cinematic experience.
Data visualization plays a key role in Hue Knew, with a dashboard that tracks player performance, revealing insights into film recognition patterns and genre-specific trends. This analytical layer transforms the game into a learning tool, merging entertainment with data-driven exploration of cinema.


Gaze Tracker:
In a world where screens dominate commutes, Gaze Tracker seeks to rewire attention patterns by tracking gaze directions within a 3x3 visual grid. By mapping head positions and logging time spent in each zone, it reveals habitual downward gazing and encourages users to redirect focus outward, fostering a more intentional engagement with urban surroundings.
Combining real-time feedback with spatial analysis, Gaze Tracker reframes attention as both a trainable muscle and a moldable practice. Each notification serves as a nudge to look up, reconnecting commuters with the city and transforming routine commutes into opportunities for spatial awareness and discovery.


The Urban Fringe
Investigating the Spatial Thresholds Between Public Sidewalk Life and Private Eating Enterprises
Methods as Practice, Practice as Methods - Violet Whitney, William Martin
Mapping Systems - Mario Giampieri
The Urban Fringe explores the spatial thresholds where public sidewalks intersect with private eating establishments, examining how these in-between zones shape urban experiences. These transitional spaces act as vital connectors, influencing social interactions, pedestrian movement, and the overall vibrancy of city life. By focusing on the interplay between public and private realms, the project reveals how these urban fringes serve as dynamic stages for everyday encounters and social behaviors.
To investigate these zones, the project employs computational analysis and spatial mapping to capture and analyze patterns of movement, social interaction, and spatial usage. Using data-driven mapping systems and digital tools, it visualizes how people navigate these thresholds, identifying key factors that impact their use and influence. The study ultimately provides insights into how urban fringes can be reimagined to foster greater connectivity, interaction, and vitality within the city.


Sidewalk Reclamation
Building upon the Urban Fringe project, Sidewalk Reclamation delves deeper into the spatial dynamics of sidewalk encroachment, focusing on radiation exposure and claustrophobic zones. By analyzing how environmental factors impact pedestrian experiences, the project identifies key areas where natural interventions, such as green buffers and shade structures, can mitigate heat and enhance walkability.
Leveraging computational modeling, the project examines radiation patterns, sunlight distribution, and spatial compression across sidewalk zones. Data-driven simulations inform targeted design solutions, integrating natural elements to not only reduce heat exposure but also create more welcoming and accessible public pathways.