Akil Ayman

AI Engineer & Builder

Summary

AI Engineer and builder focused on LLM applications, automation, full-stack systems, and zero-knowledge Web3 infrastructure.

2026 – Present

Building an AI automation agency focused on custom AI agents, intelligent workflows, and business process automation.
Developing AI-powered solutions for sales, operations, customer support, and repetitive business processes.

Jun 2026 – Jul 2026

Applied AI and machine learning techniques to practical agricultural and business use cases.
Worked with data processing and AI-based workflows to support operational decision-making.

AI & Machine Learning: LLM application development, RAG pipeline design, FAISS vector stores, autonomous AI agents, MCP integrations, fine-tuning (QLoRA, Unsloth), scoring/ranking algorithms, prompt engineering
Cloud & Infrastructure: GCP (Cloud Run, Vertex AI, Cloud Storage), Docker, microservice architecture, CI/CD pipelines, REST API design, API gateway patterns, Linux/bash scripting
Full-Stack Development: Python (FastAPI, Flask), JavaScript/TypeScript, Next.js, React, PostgreSQL, Firebase, n8n & Zapier automation

Built a zero-knowledge verifiable compute layer for Stellar that executes computational workloads off-chain and verifies results on-chain.
Developed Rust/Axum backend services, PostgreSQL persistence, job orchestration, RISC Zero proof generation, and Soroban verification infrastructure.

Developed an AI-powered donor discovery platform combining location-based matching, machine learning eligibility scoring, NLP-based health analysis, and explainable recommendations.
Integrated Python/FastAPI ML services with a Node.js backend, MongoDB, React frontend, and Gemini-powered analysis.

Built a zero-knowledge talent credential protocol using Midnight Network to prove credential ownership and eligibility without exposing sensitive employment information.
Implemented privacy-preserving credential commitments, ZK ownership proofs, and automated protocol testing.

Developed a Stellar/Soroban logistics payment system connecting simulated IoT temperature data with automated micropayments.
Implemented oracle-driven payment triggers, inter-contract calls, and a dashboard for monitoring cold-chain conditions and payment flows.

Web3 Hackathon Winner — Stellar BuildStation, Kozhikode: Won with Nebula, a zero-knowledge verifiable compute layer for Stellar that enables computationally intensive workloads to execute off-chain while producing cryptographic proofs for on-chain verification through Soroban.
Stellar / Web3 Development: Built and deployed multiple applications and smart contracts using Stellar, Soroban, Rust, and zero-knowledge technologies.

B.Tech. in Artificial Intelligence & Machine Learning

Tear along the dotted line