Software Developer / AI Engineer

I build intelligent software .

I design and deploy machine-learning systems, LLM applications, data pipelines and cloud-native software that move beyond prototypes and solve real problems.

Explore my work ↓ Get in touch ↗

OPEN TO OPPORTUNITIES

Software developer and AI engineer based in Belfast, focused on applied AI, agentic systems, data engineering and scalable software.

Based in Belfast, UK

Background MSc Artificial Intelligence

Focus AI · Software · Data

Status Available until Feb 2027

PYTHON

ARTIFICIAL INTELLIGENCE

LLM SYSTEMS

AWS

GRAPH RAG

MACHINE LEARNING

REACT

KUBERNETES

PYTHON

ARTIFICIAL INTELLIGENCE

LLM SYSTEMS

AWS

GRAPH RAG

MACHINE LEARNING

REACT

KUBERNETES

01 / Experience

My Journey through tech.

A mix of AI evaluation, software engineering and operational technology.

NOV 2024 — PRESENT

OUTLIER

LLM Evaluation Engineer

Conducting model testing, alignment validation and inference optimisation for domain-adapted large language models. Engineered and evaluated SFT datasets and RLHF workflows to improve accuracy, safety, reasoning and multi-turn conversational performance.

LLMs SFT RLHF Evaluation Inference

APR 2024 — PRESENT

LLM experience

CHOPSTIX FOOD SERVICES

Operations Manager

Managing customer service, procurement, inventory planning and operational performance for a high-volume food service branch. Built an inventory tracking and reporting solution by integrating operational data with the hospitality management system API. The system is now used across Northern Ireland stores to improve stock visibility and decision-making.

Data Analytics APIs Forecasting Automation

JUL 2022 — SEP 2022

LARSEN & TOUBRO

Software Developer Intern

Developed an Android prototype for industrial vehicle wheel inspection using CNN-based object detection. Engineered OpenCV preprocessing pipelines with Canny edge detection and image normalisation, then optimised TensorFlow Lite models for efficient mobile inference using hyperparameter tuning and post-training quantisation.

Python OpenCV TensorFlow Lite CNN Android

SEP 2021 — OCT 2021

SCHNEIDER ELECTRIC

Software Engineering Intern

Contributed to a low-intrusion energy monitoring project and developed an Android application using Kotlin and Jetpack Compose. Integrated anomaly detection models to identify unusual power consumption patterns and support predictive maintenance.

Kotlin Jetpack Compose Anomaly Detection Energy Data

02 / Selected Work

Projects built out of Necessity & Curiosity

A selection of research and self-directed systems exploring causal inference, local AI, agentic workflows, GraphRAG and edge inference.

PROJECT / 001

Causal Time-Series Forecasting

MVTS Transformer architecture combined with Granger causality analysis to model temporal dependencies and identify causal drivers across multiple forecasting horizons.

Python Transformers Granger Plotly

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PROJECT / 002

Local LLM Infrastructure

Fully local LLM inference stack using Ollama, Open-WebUI and quantised models including Llama, Gemma, Qwen and DeepSeek.

Ollama Llama.cpp Linux

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PROJECT / 003

GraphRAG Research Engine

Knowledge graph retrieval combined with dense vector search, Neo4j and asynchronous API retrieval from research sources including arXiv and Semantic Scholar.

Neo4j AsyncIO GraphRAG LLMs

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PROJECT / 004

Agentic AI & Edge Systems

Built local AI applications spanning Android edge inference, Whisper speech recognition, structured expense extraction, browser automation and persistent multi-step agent workflows.

Gemma Whisper Browser-use OpenClaw

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03 / Technical Stack

The tools I use to build things.

I work across the stack rather than treating AI as an isolated component. My projects typically combine software engineering, machine learning, data infrastructure, APIs and cloud deployment.

LANGUAGES

Python · C/C++ · Java · Kotlin · JavaScript

AI / LLM

Ollama · Hugging Face · LLaMA.cpp · SFT · RLHF · Transformers · Generative AI

AGENTS / RAG

CrewAI · LangChain · Browser-use · OpenClaw · GraphRAG · Neo4j AuraDB

BACKEND

Flask · REST APIs · AsyncIO · WebSockets · PHP

CLOUD

AWS · S3 · EC2 · Route53 · Load Balancing · CloudWatch · Lambda · GCP · Firebase

DATA

SQL · PostgreSQL · MongoDB · Redis · Neo4j · Data Pipelines · Predictive Analytics

FRONTEND

React · JavaScript · HTML · CSS

DEVOPS

Docker · Kubernetes · Portainer · Jenkins · MLOps

04 / Education

Where the foundation came from.

2023 — 2024

MSc Artificial Intelligence

Queen's University Belfast · UK

Graduated with Commendation. Dissertation focused on causal inference-based multivariate time-series forecasting. Relevant coursework included Machine Learning, Artificial Intelligence, NLP, Computer Vision and Knowledge Engineering.

2019 — 2023

B.E. Computer Science & Engineering

MITM · India

CGPA: 7.5 / 10.0. Built a strong foundation in software engineering, programming, artificial intelligence and natural language processing.

05 / UK Work Status

Post Study Work Visa

4 February 2024 → February 2027

04 FEB 2024 FEB 2027

Calculating current status...

Progress is calculated automatically using today's date.

06 / Certifications

Always learning.

COURSERA

UNIVERSITY OF MINNESOTA

Software Development Processes & Methodologies

Software development lifecycle, Agile, Scrum and modern software engineering practices.

COURSERA

DUKE UNIVERSITY

Java Programming: Solving Problems with Software

Java fundamentals, programming problem solving and software design principles.

07 / Contact

Got something interesting ?

Whether you're looking for an AI engineer, software developer, someone to prototype an idea, or simply want to talk technology — I'd be happy to hear from you.

gauravz4833@gmail.com ↗ LinkedIn ↗ +44 7823 742797