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Talha Ahmad

Senior Full-Stack Engineer with 6+ years of proven track record building high-quality web applications. Expert in TypeScript, Node.js, and React with experience across the full stack. Skilled in designing scalable APIs, building responsive frontends, and deploying cloud infrastructure. Passionate about clean code, testing, and delivering products that users love. Recognized for delivering exceptional results in Agile environments.

Relevant Experience

Senior Software Engineer

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ImpactAdvantage

June 2024 - Present

TypeScript, Node.js, Express.js, REST APIs, MSSQL, Azure Cloud, Docker, Kubernetes, Jest, Playwright, TDD/BDD

System Architecture: Architected and built scalable backend APIs (Node.js/Express/TypeScript) with multi-tenant support, serving enterprise B2B clients with high availability requirements.
Azure Cloud Infrastructure: Designed and deployed Azure infrastructure including Blob Storage, Key Vault, Table Storage, and Managed Identity for secure, scalable cloud operations.
Testing & TDD: Implemented comprehensive TDD/BDD practices with Jest unit tests and Playwright E2E automation, achieving high test coverage and CI-integrated test runs.
DevOps & CI/CD: Established Docker containerization, automated CI/CD pipelines, and streamlined release processes with version-controlled deployments.
Mentorship: Conducted code reviews, established engineering best practices following SOLID principles, and mentored junior engineers on clean code practices.

Senior Software Engineer

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NTT DATA & GiffGaff

January 2023 - March 2024

React, TypeScript, Next.js, Jest, Cypress, Chromatic, Jenkins, Azure DevOps, Storybook, Design Systems

Component Library: Developed and published over 10 React components to the internal design library with comprehensive test coverage using Jest and React Testing Library, ensuring consistency across product teams.
Testing & Quality: Implemented visual regression testing using Chromatic and end-to-end testing with Cypress, reducing production bugs by 40% and improving release confidence.
Leadership: Stepped up to manage team lead responsibilities during absence, coordinating cross-functional tasks and ensuring project continuity, earning recognition from engineering managers.
Collaboration: Partnered with product, design, and backend teams to define scope and deliver features increasing service offerings by 20%.

Senior Software Engineer

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January 2021 - January 2023

JavaScript, TypeScript, Node.js, Express.js, GraphQL, REST APIs, MongoDB, AWS Lambda, Serverless, Kafka, Redis, Docker, Jest, CI/CD

Distributed Systems: Built scalable, resilient backend services handling high-volume traffic for e-commerce operations, implementing microservices with AWS Lambda, Kafka messaging, and Serverless framework.
Product Impact: Collaborated with product managers to translate business requirements into technical solutions, making data-informed decisions that improved customer outcomes.
API Development: Designed RESTful and GraphQL APIs with optimized query patterns, reducing response times by 40% and increasing concurrent user capacity.
Payment Integrations: Integrated Stripe and Plaid for payments, improving transaction success rates by 30% through robust error handling and retry mechanisms.
Mentorship: Mentored junior engineers on backend best practices, TDD, code reviews, and system design patterns.

London, UK +44 794 643 4693 talha.ah08@gmail.com github.com/talha-ah linkedin.com/in/talha-ah talhaahmad.dev

Skills

Full-Stack Development

TypeScript, JavaScript, Node.js, Express.js, React, Next.js, Redux, REST APIs, GraphQL

Databases

PostgreSQL, MongoDB, MSSQL, Redis, Firebase, DynamoDB

Cloud & DevOps

AWS, Azure, GCP, Docker, Kubernetes, Serverless, CI/CD Pipelines, GitHub Actions

Frontend

React, Next.js, TypeScript, Redux, HTML5, CSS3, Material-UI, Tailwind CSS, Responsive Design

Testing & Quality

Jest, Cypress, Playwright, React Testing Library, TDD, E2E Testing, Unit Testing

Other Experience

Agile/Scrum, Mentorship, Code Review, System Design, API Design, Cross-functional Collaboration

Selected Projects

Revolutionary platform leveraging GEN AI for enhanced communication and interactions. Integrated ChatGPT API, managed DevOps using AWS.

Mission Automate

Scraped medical blogs, integrated ChatGPT for content reformatting and DALL·E for image generation. Streamlined medical content curation process.

Prospects Trading

Developed backend APIs, integrated EventConnect APIs for "Sports Illustrated" sticker trading game tournaments.

Education

Canterbury Christ Church University

Master of Science in Data Intelligence

Government College University

Bachelor of Science in Computer Science - Distinction

Interests

Traveling, gaming, anime & tv series (science fiction & fantasy), technology

Additional Projects and Experience

Node.js, Express.js, Stripe, PostgreSQL (AWS Aurora), AWS, Docker, ChatGPT

For SAiY as a Backend Engineer, I played a key role in developing a revolutionary platform that leverages GEN AI to redefine communication and interactions. SAiY is designed to enhance communication skills, self-expression, and clarity for individuals and businesses. Through my expertise in backend development and integration of GEN AI APIs, I made it possible to overcome communication barriers and empower users to achieve meaningful interactions. Using AWS ECR and ECS, I managed the DevOps and successfully integrated GEN AI APIs. SAiY highlights my ability to leverage cutting-edge technology to drive innovation and deliver impactful solutions that transform user experiences.

Mission Automate

Python, FastAPI, Firebase, WordPress, DevOps, BeautifulSoup, ChatGPT, DALL·E

In this project, I demonstrated my expertise in developing a comprehensive solution for data extraction, content reformatting, and image generation in the medical domain. The platform leverages web scraping techniques to extract relevant data from online medical blogs, ensuring a steady stream of up-to-date and authoritative content. To enhance the quality and readability of the extracted content, I seamlessly integrated the powerful ChatGPT API, enabling intelligent reformatting and generation of long-form blog posts. Additionally, I integrated the DALL·E API to generate visually appealing images and variations, further enriching the blog content with engaging visuals. I built a robust and scalable system that streamlines the entire process, saving valuable time and resources.

Prospects Trading

Node.js, Express.js, MongoDB, AWS, CI/CD, DevOps

As a Backend Engineer for Prospects Trading, I played a key role in developing backend APIs and integrating EventConnect APIs, enabling player engagement in **Sports Illustrated** tournaments through a sticker trading platform. This platform allowed users to trade stickers during tournaments, fostering community engagement and excitement. My initiative in implementing batch processing and optimizations efficiently overcame API limitations, further enhancing platform functionality. Prospects Trading highlights my ability to leverage technology to create innovative solutions and drive user engagement.

React, Next.js, Node.js, Express.js, Flutter, MongoDB, AWS

As a Full Stack Engineer for Ox Motive, I played a key role in developing the backend APIs for the mobile app and CMS portal for the auto services industry. Ox Motive is a platform designed to offer comprehensive car wrapping services, catering to the auto services industry. Through my expertise in Node.js, Express.js, and MongoDB, I developed backend APIs that enabled seamless data management and user interaction. My initiative in implementing CI/CD best practices ensured streamlined deployment and operation, enhancing platform functionality and user experience. Ox Motive highlights my ability to deliver innovative solutions that meet industry-specific needs and drive business growth.

Node.js, GraphQL, Apollo, AWS AppSync, DynamoDB, Amplify, Cognito, Serverless, CI/CD, React, React Native

As a Full-Stack Developer on the Owl Express project, I designed a dynamic Learning Platform with a GraphQL-first architecture. Built scalable GraphQL APIs using Apollo and AWS AppSync, enabling real-time data synchronization across web and mobile clients. Implemented OAuth with AWS Cognito for secure authentication and designed serverless backend patterns for high availability.

Node.js, Express.js, SQL, TFS, DevOps

At AAB Engage App, I focused on improving mobile app support and rental accessibility for users. The AAB Engage App is a mobile application designed to simplify rental processes and enhance user support for Abdul Ghani Car rental service customers. Through my expertise in backend development and integration of SAP APIs, I enhanced user support and streamlined rental processes. Despite challenges in integrating SAP APIs, my dedication and problem-solving skills enabled successful implementation, contributing to the app's success. AAB Engage App underscores my ability to overcome challenges and deliver impactful solutions that meet user needs.

Electromatic Works

Node.js, Express.js, MongoDB, React, Next.js, CI/CD, DevOps

For Electromatic Works, I played a pivotal role in developing a platform for a local business, enabling seamless communication and product showcasing. This platform enabled users to contact the business and browse products without the need for an account, streamlining the customer experience. My initiative in suggesting and implementing a cart system without a user authentication, enhanced user experience and client satisfaction, exemplifying my dedication to delivering impactful solutions that meet client needs. I also implemented CI/CD best practices to enable the client to update business details and deploy changes directly from the Admin Panel, further enhancing platform functionality and user experience.

Node.js, Express.js, MongoDB, React, Next.js, CI/CD, DevOps

As the sole developer of Retail Link, I spearheaded the creation of a transformative platform tailored for local retail shops, enabling digital transformation and operational efficiency. Through my expertise in React.js, Next.js, Node.js, and MongoDB, I delivered a user-friendly solution that streamlined order processing and inventory management. My initiative in implementing CI/CD best practices and DevOps methodologies ensured seamless deployment and operation, contributing to the platform's success. Retail Link showcases my ability to leverage technology to drive business growth and deliver impactful solutions that meet client needs.

Python, FastAPI, JavaScript, React, Next.js, Firebase, DevOps, BeautifulSoup

In this project, I developed a tool to gather Google Scholar analytics, links, and citations, enabling authors to visualize their academic impact and network. By leveraging web scraping techniques and data visualization libraries, I created a user-friendly platform that saves time for authors to find co-authors, articles, and links across their network. The tool streamlines the process of gathering and analyzing academic data, empowering authors to make informed decisions and enhance their academic reach and impact.

NLP Text Sentiment Analysis Tool

Python, NLTK, NLP, Scikit-learn, AI, Machine Learning

Developed a sentiment analysis tool utilizing natural language processing (NLP) and machine learning techniques to analyze the sentiment of movie review comments. Trained a machine learning model on a dataset of movie reviews to classify comments as positive, negative, or neutral. Implemented a user-friendly interface for users to input movie review comments and receive sentiment analysis results.

React, React Native, .NET, MongoDB

In my role as a Frontend Developer for Permispop, I led the development of a mobile application using React Native. Permispop is a driving lesson platform that allows driving instructors to manage their students, lessons, and schedules. Through my efforts in integrating a calendar for lesson scheduling and creating user-friendly forms, I significantly enhanced user engagement and experience. Permispop exemplifies my ability to leverage technology to solve real-world problems and deliver impactful solutions in mobile development projects.

React, React Native, Node.js, Express.js, MongoDB, Firebase

In my role as a Full-Stack Engineer for Orgaplan, I played a pivotal role in developing a logistic platform for construction firms. Orgaplan is a platform designed to streamline resource management and enhance efficiency for construction companies. Leading a team of five developers, I spearheaded comprehensive analysis and documentation efforts, resulting in a 20% reduction in project iteration cycles. By integrating CanvasJS for construction site visualization, I overcame significant challenges, ultimately contributing to the platform's success. Orgaplan highlights my ability to lead cross-functional teams and deliver outstanding accomplishments in complex projects.

NLP Text Sentiment Analysis Tool

Tech Stack: Python, NLTK, NLP, Scikit-learn, AI, Machine Learning

Task: Sentiment analysis tool using NLP and machine learning to analyze movie review comments. Trained ML model to classify comments as positive, negative, or neutral. Implemented user-friendly interface.

Description: Developed a sentiment analysis tool utilizing natural language processing (NLP) and machine learning techniques to analyze the sentiment of movie review comments. Trained a machine learning model on a dataset of movie reviews to classify comments as positive, negative, or neutral. Implemented a user-friendly interface for users to input movie review comments and receive sentiment analysis results.

Experience: Developed a sentiment analysis tool utilizing natural language processing (NLP) and machine learning techniques to analyze the sentiment of movie review comments. Trained a machine learning model on a dataset of movie reviews to classify comments as positive, negative, or neutral. Implemented a user-friendly interface for users to input movie review comments and receive sentiment analysis results.

Highlights

Trained a machine learning model for sentiment analysis of movie review comments.
Developed an intuitive user interface for inputting movie review comments and viewing sentiment analysis results.
Achieved high accuracy in sentiment classification through NLP and machine learning techniques.