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Who I Am

I build end-to-end systems across AI, ML, and Web3—ranging from seismic analysis pipelines and super-resolution models to clinical NLP agents and decentralized blockchain applications. My work spans real-time anomaly detection, automated NFT workflows, RWA tokenization, on-chain messaging, and predictive maintenance for industrial systems.

I focus on creating scalable, production-ready solutions that reduce manual effort, cut operational costs, and unlock automation across both cloud and decentralized environments.

Tech Stack

Languages

  • Python
  • JavaScript
  • TypeScript
  • Solidity
  • C++
  • SQL
  • Markdown
  • PowerShell

Frameworks & Libraries

  • React
  • Next.js
  • Node.js
  • Django
  • FastAPI
  • Streamlit
  • TailwindCSS

AI / ML

  • PyTorch
  • TensorFlow
  • Keras
  • scikit-learn
  • SciPy
  • NumPy
  • Pandas
  • Matplotlib
  • Plotly
  • OpenCV
  • LangChain
  • mlflow

Blockchain Tools

  • Web3.js
  • Ethers.js
  • OpenSea
  • Hardhat
  • Foundry
  • Anvil

Databases

  • MySQL
  • PostgreSQL

Tools & Infra

  • Git
  • GitHub
  • Docker
  • Redis
  • Selenium
  • NPM
  • Notion
  • Postman
  • Anaconda
  • December 2025 – Present
    AI Engineer — FOXO
    Designed and deployed intelligent pipelines and agent-based systems to analyze complex reports, generate predictions, and deliver actionable insights. Built end-to-end workflows integrating LLMs, data processing, and automation to improve decision-making efficiency. Developed scalable architectures for real-time and batch processing, optimized model performance, and ensured reliable deployment across production environments. Contributed to enhancing system accuracy and business impact through continuous iteration and evaluation.
  • June 2025 – November 2025
    Full-Stack Developer — Cognimosity Learning Solutions Pvt. Ltd.
    Developed a RAG system with Django, vector search, and a Next.js frontend. Integrated a secure payment portal with automated subscriptions. Managed GCP cloud resources and deployments, containerized services with Docker, and scaled them for production.
  • Christ University
    B.Tech — Artificial Intelligence and Machine Learning

Services

Full-Stack Development

Building scalable web applications with Django, FastAPI, Next.js, and React. Expertise in cloud deployment (GCP), Docker containerization, payment integration, and creating seamless user experiences with clean architecture.

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AI / ML Solutions

Developing intelligent systems with PyTorch, TensorFlow, and Keras. Creating RAG systems, computer vision models, seismic analysis pipelines, and NLP chatbots that deliver measurable business impact and automation.

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Blockchain & Web3

Building decentralized systems with Solidity, EVM tooling, and Web3 SDKs—expert in tokenization, on-chain messaging, and automated NFT workflows, enabling scalable, secure, and fully composable blockchain applications.

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Projects

Seismic Activity Detector

Seismic Activity Detector

Built a compact seismic-analysis pipeline with MiniSEED/GeoCSV/XML ingestion, adaptive preprocessing, and Conv1D/LSTM models for event/anomaly detection. Designed to save ~657 analyst hours (≈82 human-days).

ESPCN++ Super Resolution

ESPCN++ Super Resolution

Created a lightweight ESPCN-based ×6 SR model with skip connections and Single-Pixel Attention. Auto-enhances ~40 catalog images/day, potentially saving ~1 human-day by removing manual SR recaptures.

Medical Bot

Medical Bot

Developed a clinical chatbot using NLP (spaCy/Transformers), FastAPI, and LangChain. Parses prescriptions and applies dosing rules. Designed to automate 200–2,000 prescriptions/day, saving 3–6 min each.

Chatter on-chain messaging DApp

Chatter — On-Chain Messaging

Built an on-chain chat DApp with an event-based Solidity contract for low-cost messaging and wallet identity via EIP-4337 account abstraction, plus an indexing layer for real-time message streaming.

See More on GitHub

Contact Me

noelnoel255@gmail.com

Download CV