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AshiteshSingh/README.md

Hi, I'm Ashitesh Singh πŸ‘‹

Quantum Computing Β· Machine Learning Β· Cybersecurity

Research and engineering interests

Research Blog GitHub Email


πŸ‘‹ About Me

πŸ§‘β€πŸ”¬ Role
Quantum Computing Researcher

πŸ€– Right now
ML Engineer & Research Fellow at AnthologyResearch (Polymath AI Labs)

πŸŽ“ Research Focus
Combining Machine Learning and Quantum Computing (QML) to engineer high-performance distributed simulators and optimize QML trainability.

πŸ† Open Source Contributor to TensorFlow (18+ PRs) & OpenXLA (1 PR)
Authored and merged 19 contributions spanning distributed training (tf.distribute.AutoStrategy), core variable slice assignment, quantization layers (QuantizedDense), float64 autodiff numerical stability (tanh and softmax VJPs, logdet), C++ CPU/MKL kernels (Digamma, segment reductions), XLA HLO compiler lowering, and Python runtime safety.

🏫 Education
Grade 12 at Little Flower School, managing tech alongside academics.


πŸ›‘οΈ Cybersecurity Work

During independent security research and Android reverse engineering, I discovered a vulnerability chain in a school ERP platform involving insecure credential storage, excessive cloud permissions, and weaknesses in access controls.

If exploited, these vulnerabilities could have led to a data breach affecting an estimated 5 million+ students, parents, and teachers across India. This represents the estimated potential platform-wide impact.

I coordinated responsible disclosure through CERT-In, documenting the findings to support verification and remediation. My published write-up covers the investigation, disclosure timeline, vendor remediation, and CERT-In acknowledgment.

πŸ“– Read the responsible disclosure write-up β†’


πŸ› οΈ Tech Stack & Language Toolbox

Programming languages and frameworks

Development tools and platforms


πŸ€– Tools & LLMs I Use

AI tools and assistants in my workflow

Codex

Codex
Kiro

Kiro
Antigravity

Antigravity
DeepSeek

DeepSeek
Gemini

Gemini

πŸ† Featured Quantum & AI Projects

πŸš€ TPU-Accelerated Quantum Simulation in JAX

Tpu-Accelerated-Quantum-JAX

High-performance, differentiable quantum state-vector & tensor network simulator in 100% pure JAX, with no classical framework overhead.

Accelerated on NVIDIA GPUs and Google Cloud TPU v6e-64/v5e VM clusters, scaling up to 37 qubits. Supported by Google's TPU Research Cloud (TRC) program.

DOI DOI

πŸ“„ Research publications:
Zenodo Β· 10.5281/zenodo.20701872
Zenodo Β· 10.5281/zenodo.20704990

🌐 Perplexity GUI

Perplexity-gui-copy
Next.js + TypeScript clone of Perplexity AI.

πŸ” Neural Search Engine

Neural-Search-Engine1
AI-powered search tool.

🏑 House Price Prediction

House-price-prediction
Advanced hybrid ML pipeline with Transformer DNN.

πŸ“– Little Flower School Magazine

LFS Magazine
Built the official digital magazine for Little Flower School.


πŸ“Š GitHub Activity

GitHub Stats

GitHub Streak

Top Languages


πŸ“« Connect with Me

Website GitHub Email

Profile Views

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  1. Nueral-Search-Engine1 Nueral-Search-Engine1 Public

    Gemini 3 Powered Search Engine

    TypeScript 29 3

  2. House-price-prediction House-price-prediction Public

    House Price Prediction - Ultra Hybrid ML Pipeline combining XGBoost, LightGBM, GBR, ExtraTrees, and Transformer DNN

    Python 60

  3. Tpu-Accelerated-Quantum-JAX Tpu-Accelerated-Quantum-JAX Public

    High-performance, differentiable quantum state-vector & tensor network simulator in 100% pure JAX (no classical framework overhead). Accelerated on NVIDIA GPUs and Google Cloud TPU v6e-64/v5e VM cl…

    Jupyter Notebook 119 13

  4. PQC-post-quantum-signal- PQC-post-quantum-signal- Public

    Production & research-grade Post-Quantum KEM Double Ratchet protocol (FIPS 203 ML-KEM-768 + FIPS 204 ML-DSA-65). Resilient against Harvest-Now-Decrypt-Later FTQC attacks

    Python 14 2