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san5kriti/README.md

Sanskriti Shelke Rao

MSc Advanced Computing (AI) · Durham University · Graduating September 2026

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Profile

AI researcher and full-stack developer with a focus on quantum-classical hybrid systems, NLP, and production machine learning. Enrolled at the University of Birmingham aged 16 on an International Excellence Scholarship; graduated with a dissertation grade of 78% on quantum-inspired optimisation for NP-hard problems. Currently completing an MSc at Durham University with research extending that work into quantum network routing under physically-motivated noise models.

Multiple projects deployed across ML, full-stack, and scientific visualisation.

Research

MSc Dissertation — Durham University (2026)

Quantum-Inspired Metaheuristics for Entanglement Distribution Optimisation in Terrestrial Quantum Networks

Comparative study of quantum-inspired heuristics for entanglement routing across three network topologies. Extends BSc quantum-classical hybrid work with rigorous statistical benchmarking and physically-motivated noise parameters (depolarising and amplitude damping). Benchmarked against classical baselines including Dijkstra-based shortest-path routing.

BSc Dissertation — University of Birmingham (2025) · Grade: 78%

Meta-Hybrid Quantum-Classical Optimisation for the Travelling Salesman Problem

Designed eight novel hybrid solvers combining classical heuristics (Nearest Insertion, Christofides, Clarke-Wright, Random Insertion) with quantum-inspired techniques via IBM Qiskit. Developed QAOA-based partial tour generation, quantum local refinement stages, and bi-directional hybrid architectures. Tuned via COBYLA optimisation; surpassed classical-only baselines across multiple performance domains. Paper forthcoming.

NLP Research — Durham University (2026)

Privacy Policy Classification System

Multi-label classification pipeline using TF-IDF + One-vs-Rest Linear SVM achieving Macro F1 ≈ 0.70. Extended with LLM-based classification via Mistral 7B, comparing zero-shot vs. few-shot prompting across five hyperparameter configurations. Identified key failure modes including over-prediction and category ambiguity.


Selected Projects

Project Description Stack Status
GARGANTUA.exe Physically-based black hole visualiser with custom GLSL raymarching shaders, Schwarzschild & Kerr geodesic rendering Three.js · WebGL · GLSL Live
MindByte AI flashcard generator designed for neurodivergent study flows React · Next.js Live
Virtual Library Ambient study environment with Pomodoro timer and task tracker TypeScript · React Live
HealthMate Android health companion for adults 65+ with LLM-powered conversation, medication reminders, and one-tap SOS Kotlin · OpenAI API · Google Maps API Complete
Orbitron AI astronomy application with interactive star charts and real-time satellite tracking TypeScript Deploying Aug 2026

Technical Skills

Languages · Python · TypeScript · JavaScript · SQL · Java · Haskell · Kotlin · HTML · CSS

Frameworks & Tools · React · Next.js · Three.js · Scikit-learn · TensorFlow · Qiskit (IBM) · Git/GitHub · Android Studio · NumPy · Pandas · Matplotlib · COBYLA

Domains · Machine Learning · NLP · Quantum Algorithms · Full-Stack Development · Scientific Visualisation · UI/UX Design · Agile Project Management


Publications & Writing

  1. Meta-Hybrid Classical-Quantum-Inspired Optimisation for the TSP: A Comparative Analysis — Sanskriti Shelke Rao (forthcoming)
  2. AI's Looming Threat: Bioweapon Development Requires Urgent Regulation — Redbrick, University of Birmingham
  3. The White Hole Paradox: Black Holes, White Holes, and the Wormhole Enigma
  4. Python's Influence on the Development of Other Programming Languages — Redbrick, University of Birmingham

Education

Durham University · MSc Advanced Computing – AI Specialisation · Sept 2025 – Sept 2026 Modules: Quantum Computing · Deep Learning · NLP · Recommender Systems · Algorithms & Complexity (100%) · Human-AI Interaction

University of Birmingham · BSc (Hons) Artificial Intelligence & Computer Science · Sept 2022 – Jun 2025 International Excellence Scholarship · Enrolled age 16 · Dissertation grade: 78%


Certifications & Awards

  • IBM Basics of Quantum Information
  • IBM Variational Algorithm Design
  • Goldman Sachs Software Engineering Virtual Programme
  • Red Hat Agile Project Management
  • EAGLES Award for Achievement, Good Leadership and Service — Ministry of Education, Singapore
  • Young Engineer Award — Singapore Polytechnic
  • International Excellence Scholarship — University of Birmingham

Pinned Loading

  1. orbitron orbitron Public

    https://orbitrondev.vercel.app/

    HTML 1

  2. portfolio-website portfolio-website Public

    student website portfolio

    TypeScript 1

  3. virtuallibrary virtuallibrary Public

    TypeScript