Software Engineer | C++ · Java · Python · Backend Systems · Data Engineering

🎓 MSc Software Development (International Systems) — University of Limerick, Ireland
📅 Expected graduation: May 2027
📍 Based in Limerick, Ireland | Open to opportunities in Ireland, Europe and India
📧 Email · LinkedIn · GitHub

I'm a software engineering postgraduate with a background in computer science, data analytics and machine-learning data operations.

I enjoy building software that combines correctness, scalability, performance and practical problem-solving.

My engineering interests include:

• Software Engineering: C++, Java, Python, data structures, algorithms and object-oriented design.
• Backend Development: REST APIs, Spring Boot, relational databases and transaction processing.
• Systems Engineering: Multithreading, concurrency, scheduling and performance optimisation.
• Data Engineering: SQL, Python, data validation, data processing and cloud technologies.
• Software Quality & AI: Automated testing, mutation testing, large language models and reproducible experimentation.

Previously, I worked at Amazon Development Centre India as a Machine Learning Data Associate, contributing to data-quality operations supporting machine-learning workflows.

I'm currently strengthening my software engineering foundations while building practical projects and completing my MSc dissertation.

Status: Completed core implementation
Technologies: C++20 · Multithreading · CMake · GoogleTest

A simulated AI inference-serving scheduler designed to explore concurrency, dynamic batching and performance measurement.

• Implemented FIFO and priority-based scheduling.
• Developed configurable dynamic batching with batch-size and timeout triggers.
• Built a concurrent worker pool using threads, mutexes, condition variables and atomics.
• Instrumented throughput and mean, p50, p95 and p99 latency.
• Added automated tests for scheduling, batching and correctness.

Engineering focus: Concurrency, scheduling algorithms, thread safety and performance analysis.

Status: Completed core implementation
Technologies: Java · OOP · PriorityQueue · Algorithms · Maven

A financial exchange simulator implementing deterministic order matching and trade processing.

• Developed buy and sell order books using priority queues and custom comparators.
• Implemented price-time-priority matching and partial-fill processing.
• Separated order management, matching, risk validation and trade history.
• Supported order modification, cancellation and CSV trade export.
• Calculated market statistics including trading volume, average prices and VWAP.

Engineering focus: Data structures, algorithmic correctness and modular software design.

Status: Completed core implementation
Technologies: C++20 · CMake · GoogleTest

An in-memory caching system combining efficient data structures with concurrent access.

• Implemented LRU cache eviction and TTL expiration.
• Combined hash-based indexing and linked-list ordering for average O(1) operations.
• Used C++ synchronisation primitives for thread-safe access.
• Added automated tests covering eviction, expiration, concurrency and persistence.
• Measured throughput and latency characteristics.

Engineering focus: Data structures, concurrency, memory management and testing.

Status: In active development
Technologies: Java · Spring Boot · PostgreSQL · REST APIs · Maven

A backend engineering project exploring the design and implementation of reliable payment-processing services.

• Building a structured payment domain model using Spring Boot and JPA.
• Implementing payment entities with UUID identifiers, monetary precision and transaction status.
• Developing REST API capabilities and persistence workflows.
• Expanding validation, error handling and automated testing.

Engineering focus: Backend architecture, API design, database persistence and transaction integrity.

Status: Research-aligned development
Technologies: Python · LLMs · Automated Testing · Mutation Testing

A research-oriented software testing project aligned with my MSc dissertation.

• Exploring automated test generation using multiple large language models.
• Evaluating generated tests through mutation testing.
• Investigating fault detection, surviving mutants and reproducibility.
• Designing controlled experiments using established open-source software.

Engineering focus: Software testing, empirical evaluation and AI-assisted development.

Technologies: Python · Process Mining · Data Analysis

Analysed approximately 1.2 million process events from the BPI Challenge 2017 dataset to investigate process behaviour and operational patterns.

Technologies: SQL · Python · Tableau

• Analysed approximately 8,800 sales opportunities.
• Evaluated conversion rates, pipeline performance and sales outcomes.
• Cross-validated analytical results across SQL, Python and Tableau.

Technologies: Python · Pandas · Data Analytics · Visualisation

• Analysed retail transaction data to understand purchasing behaviour.
• Applied RFM segmentation and cohort analysis.
• Explored customer retention and reactivation opportunities.

GradTrack — Spring Boot and PostgreSQL application with validation, automated testing and GitHub Actions CI.

Arcane Arena — Unreal Engine 5 turn-based combat prototype in development, exploring C++ gameplay architecture, Blueprints and modular combat systems.

Kootra — Early-stage B2B collective procurement venture concept focused on recurring purchasing needs of small businesses in India. Currently in business-model and feasibility planning.

February 2022 – January 2023 | Chennai, India

• Processed, reviewed and validated more than 100,000 data records supporting machine-learning operations.
• Used Python, SQL and data-quality workflows to investigate inconsistencies.
• Collaborated with operational and technical teams to improve process reliability.
• Contributed to workflow improvements associated with approximately 30% higher team productivity.

May 2024 – July 2024 | India

• Conducted business-process analysis and requirements gathering.
• Supported due diligence, documentation and management reporting.
• Investigated operational challenges and communicated findings to stakeholders.

University of Limerick | 2026–2027

My research investigates how effectively large language models generate software tests and how mutation testing can be used to evaluate their fault-detection capabilities.

Key research themes include:

• Comparative evaluation of multiple LLMs.
• Mutation scores and fault-detection effectiveness.
• Interpretation of surviving mutants.
• Reproducible experimental methodology.
• Threats to validity, including training-data leakage.
• Evaluation using established open-source software.

The objective is to contribute empirical evidence about the effectiveness and limitations of LLM-generated software tests.

University of Limerick, Ireland
MSc Software Development (International Systems) | 2025–2027

Thiagarajar School of Management, India
Post Graduate Diploma in Management — Business Analytics | 2023–2025

B.S. Abdur Rahman Crescent Institute of Science and Technology, India
Bachelor of Computer Applications — Data Science | 2017–2020

• Google Data Analytics Professional Certificate
• Google Cybersecurity Professional Certificate
• Microsoft IT Support Specialist Professional Certificate
• Rutgers University — Supply Chain Management Specialization
• McKinsey Forward Program
• Linux Fundamentals
• AWS Academy Cloud Foundations

My current learning priorities are:

1. Data Structures & Algorithms: Building strong problem-solving foundations in C++, Java and Python.
2. Backend Engineering: Developing reliable Java and Spring Boot applications.
3. System Design: Understanding scalability, distributed systems and performance.
4. Data Engineering: Strengthening Apache Spark, Kafka, ETL/ELT and cloud data-platform knowledge.
5. Software Testing: Advancing automated testing, mutation testing and research methodology.
6. Cloud & Infrastructure: Expanding practical Azure, Linux and deployment skills.

I'm preparing for software engineering opportunities starting in 2027, particularly in:

• Graduate and early-career Software Engineering
• Backend Software Development
• C++ and Systems Engineering
• Java Software Engineering
• Data Engineering and Cloud Platforms
• Software Quality and Test Automation

I'm open to opportunities in Ireland, Europe and India, with a strong interest in building dependable, scalable software and continuing to grow as an engineer.

Build carefully. Test thoroughly. Measure what matters.