Sunishka Sil

showcase

Projects.

Chorus ER workflow demo: live capture, unified timeline and auto-filled EHR chart

Chorus ER: Ambient AI for ER Teams

Prototyped an ambient AI product for Cornell Tech’s Product Studio that captures a whole ER team through wearables, builds one shared case record, auto-fills the EHR, and flags hidden safety risks. Grounded in stakeholder interviews, with a cost model, a compliance analysis, and a go-to-market wedge starting at the ambulance handover.

Speech-to-Text High-Fidelity Prototyping User Research Product Pitch

View Workflow Demo ↗ View Original Product Pitch↗

SNAP-Med Augmented-Reality Interface

Developed an AR procedure-guidance system for Snap Spectacles in Lens Studio and TypeScript, guiding responders through branching stroke, cardiac arrest and intubation protocols with interactive checklists, timers and voice commands. Implemented real-time multi-headset sync via Spectacles Sync Kit so teams share one live procedure state, supporting AIRLab’s PhD-led research on AR in emergency medicine.

Lens Studio 3D TypeScript JavaScript AR/VR User Studies

View Repository ↗

Simplified Digital Twin for Microreactors

A reduced-order digital twin simulation for remote, low-staff microreactors that skips heavy physics solvers. It’s trained on 440K rows of simulated reactor accident data, classifies 14 accident types under realistic sensor faults, and runs a closed control loop that stops temperatures from climbing out of control in simulation.

Python Point Reactor Kinetics Random Forest Sensor Fault Injection

View Source Code ↗

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 Python KPI Dashboards Spatial Data Mapping

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.

Deep Learning Python TensorFlow scikit-learn

View Source Code ↗

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 ArcGIS Pro Spatial Data Mapping

Network Security and Energy Efficiency Analysis with Machine Learning in Python

Semester-long undergraduate machine learning projects (2023) on the NSL-KDD (Network Security) and UCI Energy Efficiency datasets for classification and prediction with unsupervised methods, 3D visualizations, supervised methods and cross-validation testing.

Python Machine Learning Clustering Techniques Exploratory Data Analysis

View Video Report ↗

Publications & Research

Research.

Post-Graduate Dissertation · National Seminar on Behavioural and Organizational Perspectives of Cybersecurity · 2024 — 2025

Human-Receptivity to AI Response-Framing

Sunishka Sil, Dr. Abhishek Sahai, Dr. Shruti Goyal

Built dummy AI-interfaces for 60 participants to evaluate AI-responses under medical, ethical, financial, legal and personal problem-scenarios and ran mixed-methods statistical analyses on data for 3 hypotheses; Achieved the 'Best Paper Award’ at the 'National Seminar on Behavioral and Organizational Perspectives of Cybersecurity for Viksat Bharat @ 2047’, India.

Human-AI Bias IBM SPSS UI Prototyping

Preview thumbnail for Emotions and Robots research

Research Project · National Academy of Psychology Conference · 2023 — 2024

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

Sunishka Sil, Muskaan Grover, Dr. Abhishek Sahai

Experimental research on 101 participants, testing the Uncanny Valley effect in human perception with photo-realistic edits and feature swaps in Robot, Humanoid and Deepfake Faces; Selected by the National Academy of Psychology as one of the few undergraduate research projects, successfully presented at the NAOP-GITAM Conference under the Cyber-Psychology track in February 2024.

Digital Trust Perception Deepfakes Artificial Facial Design

Toolbox

Skills.

Languages

Tools

Libraries & SDKs

ML/AI & Data

HCI Research & UI/UX

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-VR 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 Analytics 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