Vatsal Singh
Galway, Ireland
Vatsal Singh
Full Stack Software Engineer - Python, React, APIs
Category : Website creation
I'm a full stack software engineer with two years of production experience building web applications end to end — from REST APIs and databases through to frontend interfaces, plus hands-on experience integrating modern AI/LLM tooling into real products.
On the backend, I've built and integrated 10+ external vendor and payment gateway APIs, refactored systems to cut production incidents, and deployed AWS-based services with measurable reliability gains. On the frontend, I work with HTML5, CSS3, JavaScript, and React to build responsive, functional UIs. I also build LLM-powered features including RAG pipelines, agentic workflows, chatbots, using Anthropic and OpenAI APIs.
What I can help with:
Full stack web development: React/JavaScript frontend + Python (FastAPI)/C#/Java backend
REST API design, database design (SQL/MySQL/PostgreSQL), and system integration
AI/LLM features: chatbots, RAG pipelines, agentic workflows, prompt engineering
Bug fixing, code refactoring, and performance/reliability improvements
AWS deployment (EC2, S3, Lambda) and CI/CD basics
Data-driven scripts and small ML projects (Python, Pandas, Scikit-learn)
I hold an engineering degree with First Class Distinction, have an IEEE-published research paper, and I'm currently completing an MSc in Computer Science. I scope work honestly, give realistic timelines, and communicate clearly throughout the build, whether it's a quick fix or a full feature build.
Let's talk about what you're building.
On the backend, I've built and integrated 10+ external vendor and payment gateway APIs, refactored systems to cut production incidents, and deployed AWS-based services with measurable reliability gains. On the frontend, I work with HTML5, CSS3, JavaScript, and React to build responsive, functional UIs. I also build LLM-powered features including RAG pipelines, agentic workflows, chatbots, using Anthropic and OpenAI APIs.
What I can help with:
Full stack web development: React/JavaScript frontend + Python (FastAPI)/C#/Java backend
REST API design, database design (SQL/MySQL/PostgreSQL), and system integration
AI/LLM features: chatbots, RAG pipelines, agentic workflows, prompt engineering
Bug fixing, code refactoring, and performance/reliability improvements
AWS deployment (EC2, S3, Lambda) and CI/CD basics
Data-driven scripts and small ML projects (Python, Pandas, Scikit-learn)
I hold an engineering degree with First Class Distinction, have an IEEE-published research paper, and I'm currently completing an MSc in Computer Science. I scope work honestly, give realistic timelines, and communicate clearly throughout the build, whether it's a quick fix or a full feature build.
Let's talk about what you're building.
Working hours
- Monday:08h00 To 18h00
- Tuesday:08h00 To 18h00
- Wednesday:08h00 To 18h00
- Thursday:08h00 To 18h00
- Friday:08h00 To 18h00
- Saturday:Not available
- Sunday:Not available
![Full-Stack Web Development & AI Integration]()
I build clean, reliable web applications and AI-powered features for startups and small businesses. With 2 years of professional production experience and an MSc in Computer Science (University of ...
• Delivered lab demonstrations and tutoring sessions for undergraduate Computer Science and
programming modules, explaining technical concepts clearly to students at varying ability levels and
supporting hands-on coding exercises.
programming modules, explaining technical concepts clearly to students at varying ability levels and
supporting hands-on coding exercises.
• Engineered end-to-end REST API integrations with 10+ live flight vendors (Iberia, Royal Jordanian, Qatar
Airways, British Airways, Singapore Airlines, Kyte, Riya Airlines) and payment gateways (Stripe, PayTabs,
Peach, Seerbit, Bidvest, First Iraqi Bank) reducing booking failure rates by 60% across production
workflows.
• Optimised core application performance by refactoring Python and VB.NET modules using improved
algorithms and data structures cutting production incidents by 22% and halving average resolution time
from 4 hrs to 2 hrs.
• Built and deployed RESTful backend services managing dynamic booking datasets for high-volume client
facing workflows implementing structured error handling and exception management across 4–5 AWS
deployed services, reducing unhandled exceptions by 20% and maintaining 90%+ vendor uptime.
• Resolved ~50 L2 support tickets/month for Qatar Airways, British Airways, and Singapore Airlines GDS
integrations against a 4-hour SLA diagnosing failures across distributed systems, documenting root
causes, and communicating resolutions clearly to technical and non-technical stakeholders.
• Diagnosed a production Stripe payment integration failure causing silent data loss no exceptions raised,
no alerts triggered by systematically tracing request behaviour across distributed services to an
undocumented API response format change; implemented a structural fix and added validation to prevent
recurrence.
• Contributed to fortnightly code reviews and knowledge-sharing sessions across a 10,000+ line codebase
using Git branching and pull request workflows, maintaining test coverage for all vendor integrations.
Airways, British Airways, Singapore Airlines, Kyte, Riya Airlines) and payment gateways (Stripe, PayTabs,
Peach, Seerbit, Bidvest, First Iraqi Bank) reducing booking failure rates by 60% across production
workflows.
• Optimised core application performance by refactoring Python and VB.NET modules using improved
algorithms and data structures cutting production incidents by 22% and halving average resolution time
from 4 hrs to 2 hrs.
• Built and deployed RESTful backend services managing dynamic booking datasets for high-volume client
facing workflows implementing structured error handling and exception management across 4–5 AWS
deployed services, reducing unhandled exceptions by 20% and maintaining 90%+ vendor uptime.
• Resolved ~50 L2 support tickets/month for Qatar Airways, British Airways, and Singapore Airlines GDS
integrations against a 4-hour SLA diagnosing failures across distributed systems, documenting root
causes, and communicating resolutions clearly to technical and non-technical stakeholders.
• Diagnosed a production Stripe payment integration failure causing silent data loss no exceptions raised,
no alerts triggered by systematically tracing request behaviour across distributed services to an
undocumented API response format change; implemented a structural fix and added validation to prevent
recurrence.
• Contributed to fortnightly code reviews and knowledge-sharing sessions across a 10,000+ line codebase
using Git branching and pull request workflows, maintaining test coverage for all vendor integrations.
I'm currently completing an MSc in Computer Science at the University of Galway (2024–2026), building on my undergraduate engineering background with deeper study in areas like software systems, data structures and algorithms, and applied computing. Alongside my coursework, I've worked as a Graduate Teaching Assistant at the university, supporting undergraduate students through practical and theoretical coursework. This academic grounding complements my industry experience, keeping me current with modern computer science fundamentals while I continue building production software professionally.
CGPA: 9.15 / 10 First Class with Distinction. Consistent top academic performance across all four years.
Core modules: OOP (C#, Java), Data Structures & Algorithms, Software Engineering, Database
Management Systems, Web Technologies, Cloud Computing, Machine Learning, Networking & Security,
Operating Systems.
• Final year research project published at IEEE IC3SEA 2023: 'IoT Enabled Traffic Diversion System for
Medical Emergency Services.'
Core modules: OOP (C#, Java), Data Structures & Algorithms, Software Engineering, Database
Management Systems, Web Technologies, Cloud Computing, Machine Learning, Networking & Security,
Operating Systems.
• Final year research project published at IEEE IC3SEA 2023: 'IoT Enabled Traffic Diversion System for
Medical Emergency Services.'
- 🇬🇧 English
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