About Projects Research Skills Experience Education

Sunishka Sil

Dual Master’s student in Computer & Information Science at Cornell Tech, building across AI, AR interfaces, product strategy, and data intelligence.
📍 Based in New York, NY

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Projects.

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SNAP-Med Augmented-Reality Interface

Developing AR interfaces on Snapchat Spectacles with real-time multi-device synchronization and voice navigation, for AIRLab's PhD-led research on AR use-cases in medical emergency scenarios.

Lens Studio 3D↗ AIRLab TypeScript↗ AIRLab JavaScript↗ AIRLab AR/VR User Studies↗ Cornell Tech
In Development
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Schneider Electric Defect Intelligence Dashboard

Spearheaded the development of Schneider Electric’s FPY-RTY manufacturing-defect monitoring initiative, delivering a Six-Sigma KPI dashboard in Tableau with €150,000 estimated savings for 8 manufacturing sites

Tableau↗ Schneider Electric Python↗ BI Intern KPI Dashboards↗ Knowledge Transfer Spatial Data Mapping ↗ Manufacturing Analytics
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Emotion Classification with Canny Edge Detection

Used canny edge-detection technique with VGG16, ResNet, GoogleNet, and our original machine learning model; training all models in Python and documenting model comparison to identify and label human emotions from an original dataset.

Machine Learning Python↗ BI Intern TensorFlow↗ Knowledge Transfer scikit-learn↗ Knowledge Transfer
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Remote-Sensing Change Analysis: Vegetation in Nuclear Fallout Zones

Visual and Temporal Change Analysis of long-term vegetation impact in Chernobyl and Fukushima fallout zones using Landsat-7 and Landsat-8 data, NDVI (normalized difference vegetation index) and SAVI (soil-adjusted vegetation index).

Javascript Google Earth Engine↗ BI Intern ArcGIS Pro↗ Knowledge Transfer Spatial Data Mapping↗ Knowledge Transfer
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'Phygital' EdTech Resource Platform

Prototyped with Figma and HTML/CSS for ACadru's early-stage ed-tech product interface for deployment in IGCSE and IB classrooms, combining 30+ stakeholder interviews, instructional-design practices, and extensive competitor analysis.

Figma↗ ACadru HTML/CSS↗ Prototyping User Interviews↗ Product Research Roadmapping↗ Product Development
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Human-Receptivity to AI Response-Framing

Flame Scholar’s Program dissertation (2024–2025) studying AI response framing through dummy interfaces and mixed-method statistical analysis in IBM SPSS.

Behavioral AI↗ Dissertation IBM SPSS↗ Statistical Analysis Best Paper Award↗ National Seminar, India
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Remote-Sensing Vegetation Change Analysis

Analyzed NDVI/SAVI-based visuo-temporal vegetation change in Chernobyl and Fukushima fallout zones using Google Earth Engine (JavaScript) and ArcGIS Pro.

JavaScript↗ Google Earth Engine ArcGIS Pro↗ Spatial Analysis Remote Sensing↗ Spring 2025
View Paper →

Publications & Research

Research.

Preview thumbnail for Human-Receptivity to AI Response-Framing

Flame Scholar's Program Dissertation · National Seminar on Behavioural and Organizational Perspectives of Cybersecurity · 2024 — 2025

Human-Receptivity to AI Response-Framing [Best Paper Award]

Sunishka Sil

Built dummy AI interfaces for response-framing tests and ran mixed-method statistical analysis on IBM SPSS. Received Best Paper Award at the National Seminar on Behavioral and Organizational Perspectives of Cybersecurity, India.

Behavioral AI↗ Research IBM SPSS↗ Statistical Research UI Prototyping↗ Dummy AI Interfaces Best Paper Award↗ National Seminar
Preview thumbnail for Emotions and Robots research

Research Project · Spring 2025

Emotions and Robots: Testing the Uncanny Valley on Isolated Facial Features

Sunishka Sil

Analyzed visuo-temporal vegetation change (NDVI/SAVI) in Chernobyl and Fukushima using JavaScript in Google Earth Engine and ArcGIS Pro.

JavaScript↗ Google Earth Engine ArcGIS Pro↗ Geospatial Analysis NDVI/SAVI↗ Vegetation Analytics Remote Sensing↗ Spring 2025 Project

Toolbox

Skills.

Languages

Python↗ All Projects & Research TypeScript↗ AIRLab JavaScript↗ AIRLab + Remote Sensing SQL↗ Schneider Electric R↗ Statistical Research

ML / AI

Statistical Research↗ Dissertation Mixed Methods↗ AI Response Study User Studies↗ AIRLab + Product Work Human-Centered AI↗ Research Focus Co-design Research↗ AIRLab Experimental Design↗ Research Projects Literature Synthesis↗ Academic Work

Web & Backend

UI/UX Design↗ Prototyping Prototyping↗ ACadru HTML/CSS↗ Product Development Lens Studio 3D↗ AIRLab Shared-State UI↗ Spectacles Sync Kit

DevOps & Tools

Tableau↗ Schneider Electric Figma↗ ACadru ArcGIS Pro↗ Remote-Sensing Project Google Earth Engine↗ NDVI/SAVI Analysis IBM SPSS↗ Dissertation

Data & Databases

Business Analytics↗ FLAME + Industry Work KPI Dashboards↗ Manufacturing Intelligence Data Mapping↗ Knowledge Transfer Market Analysis↗ ACadru Competitor Analysis↗ Product Research Statistical Analysis↗ SPSS + Research

Work History

Experience.

Graduate Researcher @ Cornell Tech - AIRLab (Artificial Intelligence & Robotics Lab)

New York, USA · Jan 2026 — Present

  • Developing augmented reality interfaces for Snapchat Spectacles using Lens Studio, TypeScript, and JavaScript for PhD-led medical wearable research.
  • Implementing real-time multi-device networking and shared-state UI via Spectacles Sync Kit.
  • Collaborating with inter-disciplinary teams to run lab experiments and synthesize literature and co-design research insights.
Lens Studio 3D TypeScript JavaScript AR Research
Studio Assistant @ Cornell Tech

New York, USA · Jan 2026 — Present

  • Assisting in TECH 5131 (Venture Capital Mindsets) and TECH 5141 (Digital Innovation in Retail).
  • Supporting faculty in course delivery, guest-speaker sessions, and student-project feedback.
  • Facilitating design sprints, project execution, and critique sessions for Cornell Tech Maker Days.
Design Sprints Product Feedback Innovation Strategy
Product Development Intern @ ACadru

Gurgaon, India · Jun 2024 — Jul 2024

  • Built a phygital ed-tech resource and executed the early product roadmap for IGCSE and IB students.
  • Led 30+ stakeholder interviews and competitor analyses to map market pain points.
  • Developed interactive prototypes via Figma and HTML/CSS using instructional-design UX frameworks.
Figma HTML/CSS Stakeholder Interviews Product Roadmap
Data Engineering & Business Intelligence Intern @ Schneider Electric

Bangalore, India · May 2023 — Nov 2023

  • Spearheaded an FPY-RTY manufacturing-defect monitoring project with €150,000 in estimated savings.
  • Built a Six-Sigma KPI dashboard in Tableau to track defect rates across 8 manufacturing lines.
  • Scaled the dashboard as a company-wide template for Global Supply Chain Operations.
  • Conducted knowledge-transfer sessions on data-mapping techniques for senior developers.
Tableau Business Intelligence KPI Dashboards Knowledge Transfer
Entrepreneur-in-Residence (EIR) Intern @ Xartup

Pune, India · Aug 2022 — Nov 2022

  • Conducted Berkus-Method Investment Analysis for 200+ early-stage tech startups.
  • Hosted speed-networking events for 100+ founders and conducted daily interviews.
  • Created and implemented a growth-strategy proposal for the Incubation Program, reporting to founder leadership.
Investment Analysis Startup Strategy Founder Networking

Academic Background

Education.

Master's Degree

Computer and Information Sciences

2025 — May 2027

Cornell University · New York, NY

GPA: 3.72

Bachelor's Degree

Cognitive Psychology and Business Analytics

2021 — 2025

FLAME University · Pune, India

GPA: 3.71