Gokul Chirayath — Software & AI Engineer · Python · AWS

def about():

I specialise in designing and scaling backend systems — from untangling legacy monoliths into clean services, to building serverless architectures on AWS, to shipping CI/CD platforms that let whole teams move faster.

Over the last few years I've focused on LLM-integrated applications: a RAG-based agent that generates CI/CD pipelines, an NER model that replaces 10+ form fields with one sentence of natural language, and AI-assisted engineering workflows for development teams.

I hold an MSc in Data Science (University of East London) and care deeply about code quality — I've authored shared Python libraries, written team-wide coding standards, and led code reviews on the teams I've worked with.

gokul@london:~

$ gokul --facts

role software & ai engineer

location london, uk

stack python · django · aws

focus llms · ci/cd · serverless

degree msc data science

status ● shipping to prod

exit code: 0

def experience():

2026.02 — now
london, uk
Current

Hopper OS

Backend Engineer

Modernising a large legacy Django healthcare platform serving millions of users — improving performance and reliability while shipping new features across existing products.
Improving CI/CD pipelines and release processes for faster, safer deploys of a platform at scale.
Creating AI-enabled development workflows and processes for the engineering organisation.

pythondjangoci/cdai-toolinghealthcare

2023.03 — 2024.09
kochi, india

Ernst & Young (EY GDS)

Technical Lead — Platform Engineering, AWS

Led LLM-integrated proof-of-concepts, including a RAG-based agent that generates CI/CD pipelines from templated infrastructure stored in a vector database.
Built self-service developer platforms that automated CI/CD and code-quality setup, cutting new project setup time by 95%.
Delivered a New Relic synthetic-monitoring POC on a live production app in 3 weeks — validated and adopted by multiple teams.
Authored reusable CircleCI orbs and TypeScript IaC packages distributed via private registries.

awsplatform-engllm+ragcirclecitypescript

2021.05 — 2023.03
kochi, india

Litebreeze AB

Senior Software Engineer — Python, AWS, NLP

Extracted microservices from a PHP monolith as the sole Python engineer — built a greenfield file-storage service on AWS serverless (Lambda, API Gateway, SAM).
Integrated a HuggingFace BERT Swedish NER model that replaced 10+ manual form fields with a single natural-language input, with custom input pre- and post-processing to improve prediction accuracy.
Solved cross-language auth between Python and PHP services (Redis session layer + AWS authorizer).
Authored shared Python packages and team coding standards; set up CloudWatch monitoring and alerting.

pythonaws-serverlessnlp/nermicroservicesdjango-rest

2018.05 — 2021.04
kochi, india

SayOne Technologies

Full Stack Engineer — Python, Django, Angular

Built and shipped full-stack products with Django REST Framework and Angular.
Designed custom algorithms including a plagiarism-detection model for article rating and a workforce scheduling engine.
Engineered automated AWS data-ingestion pipelines integrating large external datasets.
Built a social-engagement SaaS for influencers, including survey and e-commerce affiliate features.

djangoangularrest-apisdata-pipelines

def highlighted_work():

pipeline_agent.py~/ey/poc

CI/CD Pipeline Generation Agent

An LLM agent that generates CI/CD pipelines from an organisation's existing templates, using RAG over a vector database of pipeline patterns. Built as a proof-of-concept web service at EY.

pythonragvector-db

smart_forms.py~/litebreeze

Natural-Language Smart Forms

Integrated a BERT Swedish NER model so users type one sentence instead of filling 10+ form fields — entity extraction plus custom pre- and post-processing pushed prediction accuracy to production level.

huggingfacenlpapi-design

dev_platform.ts~/ey/platform

Self-Service Developer Platform

Internal platform automating repo creation, CI/CD wiring and code-quality gates for new projects — adopted across multiple engineering teams as the fast path from repo to deploy.

platform-engcircleciiac

file_service.py~/litebreeze

Serverless File-Storage Service

Greenfield microservice extracted from a PHP monolith: personal file storage on AWS Lambda + API Gateway + S3, with cross-language authentication and CloudWatch observability.

aws-samlambdas3

def skills():

skills.py — the stuff I reach for daily

# skills.py — battle-tested in productionSTACK = {    "languages": ["python", "typescript", "javascript", "sql", "bash"],    "backend":   ["django", "drf", "rest_apis", "postgresql", "redis"],    "cloud":     ["lambda", "api_gateway", "s3", "sqs_sns", "cdk", "sam"],    "devops":    ["ci_cd", "circleci", "github_actions", "linux"],    "ai":        ["llm_integration", "rag", "prompt_eng", "ner", "huggingface"],}assert "python" in STACK["languages"]  # always true, since 2018

def education_and_awards():

MSc, Data Science

University of East London · 2024 — 2025

B.Tech, Computer Science & Engineering

Mahatma Gandhi University · 2013 — 2017

Djangothon — Hackathon Winner

HackerEarth · 2018