Hi, my name is

Chirdeep Singh Reen

AI Software Engineer | Cloud & Infrastructure

Building intelligent systems with AI/ML, scalable data pipelines, and production-grade cloud infrastructure.

About Me

AI Software Engineer with expertise in programming, data engineering, DevOps, cloud technologies, and AI/ML. Experienced in building scalable data pipelines, evaluation workflows, and production-grade AI and ML systems across Azure and AWS using Python, SQL, PySpark, and CI/CD. Graduated with an M.Sc. in Computer Science (Distinction) from the University of Strathclyde. Passionate about creating impactful software that empowers users and driven to contribute to innovative technology that adds value to society.

Skills

Languages & Frameworks

Python

JavaScript

TypeScript

React

SQL

C/C++

REST APIs

FastAPI

AI & Machine Learning

RAG

LangChain

Embeddings

Vector DBs

PyTorch

TensorFlow

Hugging Face

NLP

Computer Vision

Scikit-Learn

Data Engineering & Cloud

AWS

Azure

Spark

ETL / ELT

Docker

Terraform

PostgreSQL

DevOps & Orchestration

Git

GitHub Actions

Azure DevOps

CI/CD

Docker

Airflow

Linux

Experience

AI Software Engineer

VGL Group Limited · Glasgow, UK

Oct 2025 — Present

Built end-to-end ML + data pipelines using Python, PySpark, Azure ML, and Azure SQL, improving forecasting performance from 65% to 90%.
Built an internal LLM knowledge assistant using LangGraph and RAG (embeddings + vector search) with grounded summaries and cited source links.
Built a large-scale ML prediction model using 1.5B+ operational records from 20+ locations, delivering 96% accuracy in stockout detection.
Implemented Azure DevOps CI/CD workflows for ML pipelines — automated testing, model retraining, and artifact versioning.

Business Analytics Associate

CoBot Systems Pvt Ltd · Bangalore, India

Jul 2021 — Dec 2022

Built and maintained scalable ETL pipelines (100M+ records) ensuring high-quality datasets for analytics and decision-making.
Automated 40+ reporting + data workflows using Python, SQL, AWS, reducing manual effort by 70%.
Diagnosed and resolved 80+ production issues using root-cause analysis, automated checks, and Git-based version control.
Collaborated with cross-functional teams to translate business requirements into shippable solutions.

Education

Masters of Science, Computer Science

University of Strathclyde · Glasgow, UK

Jan 2023 — March 2024Distinction

Dissertation: Image Similarity Based Recommendation System (Deep Learning)
Modules: Machine Learning, Deep Learning, Big Data, Distributed Information Systems

Bachelor of Technology, ISC Engineering

Netaji Subhas University of Technology · New Delhi, India

Aug 2016 — Aug 2020First Division Honours

Modules: Data Structures and Algorithms, Artificial Intelligence, Cryptography

Projects

GitHub Code Review Agent with Multi-Agent Autofix

Feb 2026

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Feb 2026

GitHub Code Review Agent with Multi-Agent Autofix

Built a GitHub App for automated PR reviews using a two-pass pipeline (static analysis + LLM semantic review via Ollama/OpenAI), posting inline comments and severity-ranked summaries directly on pull requests. Designed a multi-agent autofix system (ReviewAgent, RefactorAgent, VerificationAgent) generating deterministic patches and auto-committing via the GitHub Contents API. Implemented FastAPI webhook with HMAC-SHA256, GitHub App JWT auth, rate-limit backoff, Docker Compose deployment, and full audit trail.

PythonFastAPILLMMulti-AgentGitHub APIDocker

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AI Product Intelligence & Review Insights Platform

Jan 2026

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Jan 2026

AI Product Intelligence & Review Insights Platform

Designed and built a React-based AI web app that analyzes aggregated electronics product reviews to surface insights, side-by-side comparisons, trend visualisations, and rich visual analytics via an interactive dashboard with search. Integrated a chatbot powered by a RAG pipeline over a review knowledge base and implemented an end-to-end full-stack architecture (React frontend + FastAPI backend), packaged and deployed as a cloud-hosted application.

ReactFastAPIRAGPythonCloudNLP

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UK Energy Mix Analytics & Automation Pipeline

Apr 2025

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Apr 2025

UK Energy Mix Analytics & Automation Pipeline

Built an end-to-end data engineering and analytics pipeline to track and analyse the UK's hourly energy mix. Automated batch data collection and transformation using Apache Airflow from NESO API. Processed datasets with Python to extract key trends in fuel usage, renewable vs fossil contributions, and seasonal demand patterns, enabling real-time insights.

PythonApache AirflowSQLiteREST APIJupyter

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Image Similarity Based Recommendation System

May 2024

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May 2024

Image Similarity Based Recommendation System

Developed a deep learning pipeline for a movie recommendation system using image similarity, integrating the TMDB API for data retrieval and preprocessing. Enhanced feature extraction using transfer learning by fine-tuning ResNet50. Reduced data dimensionality through autoencoders and applied cosine similarity to cluster visually similar movie posters effectively.

PythonResNet50TensorFlowTMDB APIAutoencoders

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Mental Health Monitoring for Social Media

Aug 2024

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Aug 2024

Mental Health Monitoring for Social Media

Developed a Mental Health Monitoring Application for social media platforms utilising advanced NLP techniques. Processed and cleaned over 10,000 labelled tweets to create high-quality datasets. Achieved a classification accuracy of 91.62% using BERT, surpassing traditional models such as CNNs and LSTMs.

PythonBERTNLPPyTorchTransformers

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Coding Activity

LeetCode Stats

@chirdeepsingh23

GitHub Contributions

@Chirdeepsingh23

Get in Touch

I'm actively seeking opportunities in AI, ML, and Software Engineering. Feel free to reach out if you'd like to connect.

chirdeepsingh23@gmail.com

chirdeepsinghreen

GitHub

Chirdeepsingh23

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