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I am an AI engineer with a track record of designing, building, and deploying machine learning systems in production — from real-time audio event detection pipelines to LLM-powered consumer products and agentic AI workflows. Certified in Advanced NLP and Agentic AI. I am comfortable working independently on focused problems or collaborating across technical and non-technical teams. My approach combines data preprocessing, model development, and production deployment with a focus on measurable impact and maintainable tooling.…I am an AI engineer with a track record of designing, building, and deploying machine learning systems in production — from real-time audio event detection pipelines to LLM-powered consumer products and agentic AI workflows. Certified in Advanced NLP and Agentic AI. I am comfortable working independently on focused problems or collaborating across technical and non-technical teams. My approach combines data preprocessing, model development, and production deployment with a focus on measurable impact and maintainable tooling.

Avinash Kannan

AI Engineer, Data Scientist, Full Stack Developer, +2

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I am an AI engineer with a track record of designing, building, and deploying machine learning systems in production — from real-time audio event detection pipelines to LLM-powered consumer products and agentic AI workflows. Certified in Advanced NLP and Agentic AI. I am comfortable working independently on focused problems or collaborating across technical and non-technical teams. My approach combines data preprocessing, model development, and production deployment with a focus on measurable impact and maintainable tooling.…I am an AI engineer with a track record of designing, building, and deploying machine learning systems in production — from real-time audio event detection pipelines to LLM-powered consumer products and agentic AI workflows. Certified in Advanced NLP and Agentic AI. I am comfortable working independently on focused problems or collaborating across technical and non-technical teams. My approach combines data preprocessing, model development, and production deployment with a focus on measurable impact and maintainable tooling.

Available to hire

I am an AI engineer with a track record of designing, building, and deploying machine learning systems in production — from real-time audio event detection pipelines to LLM-powered consumer products and agentic AI workflows. Certified in Advanced NLP and Agentic AI. I am comfortable working independently on focused problems or collaborating across technical and non-technical teams.

My approach combines data preprocessing, model development, and production deployment with a focus on measurable impact and maintainable tooling.

Skills

Python

Experience Level

Python

Expert

Language

English

Fluent

Work Experience

Software Developer at Amazon

September 1, 2025 - March 1, 2026

Applied AI tooling, prompt engineering, and LLM-assisted automation to eliminate manual QA cycles and optimise operational data pipelines — shipped to production with 50% efficiency improvement and 40% productivity gain. Built browser extension tooling that automated manual workflows, reducing turnaround time by 29% (per measured metrics); delivered in agile sprints with full documentation.

Audio Deep Learning Engineer (Remote) at Graymatics

March 1, 2022 - August 1, 2022

Designed and deployed a real-time ML detection system: log-Mel spectrogram feature extraction → CNN / RNN / SVM classifier ensemble → live CCTV actuation — full ownership from data pipeline design through to production deployment. Performed feature engineering on raw audio data, trained and evaluated multiple model architectures, and optimised for real-time inference performance under production constraints. Integrated the ML pipeline with live edge device infrastructure and central monitoring systems across a distributed network.

Research Assistant at University of Birmingham, Biomedical Department

November 1, 2023 - March 1, 2024

Built an ML classification pipeline on foot pressure sensor data (64-sensor FSR array) to detect early Charcot foot indicators — data preprocessing, feature extraction from resistance patterns, model training and evaluation. Explored multimodal approaches: thermal imaging + ML for anomaly detection alongside pressure data; developed real-time data visualisation in Python.

Product Manager at Bible Notes

June 1, 2022 - November 1, 2024

Owned the full product lifecycle across two consumer apps — discovery, requirements, sprint planning, and delivery; coordinated distributed cross-functional teams to deadline.

Project Manager / Automation Test Engineer at Haarty Hanks

February 1, 2021 - July 1, 2023

Delivered 10+ end-to-end projects for pharma, food, and e-commerce clients — requirements, milestones, cross-functional delivery — zero late deliveries; primary client liaison throughout.