Zainul Abideen
Verified Expert in Engineering
Full-stack Developer
Saharanpur, Uttar Pradesh, India
Toptal member since September 13, 2022
Zainul is a proficient full-stack AI developer with expertise in Python, React, Node.js, and vector databases. He excels in both front- and back-end development, creating efficient and functional solutions. With a strong foundation in integrating machine learning algorithms, Zainul ensures that his applications are practical and effective. His diverse technical skill set makes him a valuable asset for any AI-driven development project.
Portfolio
Experience
- HTML - 6 years
- CSS - 6 years
- JavaScript - 5 years
- React - 4 years
- WordPress - 3 years
- Express.js - 3 years
- Redux Toolkit - 3 years
- TypeScript - 1 year
Work Experience
React Developer
eBay
- Acted as a React developer, primarily handling the UI.
- Migrated the front end of the old eBay seller dashboard from Jakarta Server Pages to React.
- Tracked and fixed bugs using Jira as a reporting tool.
- Implemented in-memory sorting and pagination for a table with 10,000 records by leveraging the potential of IndexedDB.
AI Legal Co-pilot
Onegen
- Developed and deployed a comprehensive AI legal assistant platform using React, Python, Qdrant, LangChain, etc.
- Created the entire roadmap before initiation using Jira and delivered it before the timeline.
- Contributed to landing the government contract for the product by delivering before the deadline.
Front-end Developer
Johnson & Johnson
- Executed authentication and active directory group verification directly on the front end without working on the back end using Microsoft's Azure Active Directory service.
- Collaborated with the back-end team and seamlessly integrated all the APIs with the React application.
- Implemented the in-memory table search for handling table data.
Senior Software Engineer
Tech Mahindra
- Integrated an open-source computer vision annotation tool (CVAT) application into a software product using an inline frame and enabled cross-origin communication between the inline frame and the parent window.
- Updated the open-source CVAT application's user interface to match the software product theme.
- Customized the open-source CVAT by creating additional rectangular annotation tools.
Project History
AI Legal Co-pilot
Datamime
Datamime is Tech Mahindra's in-house workflow tool for data projects that enables users to easily perform and manage human annotation tasks. The tool provides a platform for services such as collection, quality grading, transcription, and annotation for multiple data types.
Shutterstock Search Tool
Nimmio
Google Data Extractor
Lancet Global Mental Health
Education
Master's Degree in Computer Science
Integral University - Lucknow, India
Bachelor's Degree in Computer Science
Amity University - Lucknow, India
Certifications
Databricks Certified Generative AI Engineer Associate
Databricks
Skills
Libraries/APIs
React, Node.js, Redux-Saga, REST APIs, jQuery, React Query, Context API, React Testing Library, Stripe, Three.js, WebGL, Google Maps API
Tools
Redux Toolkit, Git, GitHub, Jira, Webpack, Postman, RabbitMQ, JSX
Languages
JavaScript, PHP, SQL, CSS, HTML, HTML5, Python, TypeScript, GraphQL
Frameworks
Redux, Tailwind CSS, NestJS, Express.js, Bootstrap, Jest, Next.js, LangGraph
Paradigms
Object-oriented Programming (OOP), Agile, Model Context Protocol (MCP), Microservices, Unit Testing
Platforms
WordPress, Amazon Web Services (AWS), Linux, AWS Lambda, Azure, Databricks
Storage
MySQL, JSON, Amazon S3 (AWS S3), MongoDB, PostgreSQL, Databases
Other
Responsive Web Apps, APIs, Enterprise, Back-end, Data Structures, Full-stack Development, Full-stack, Large-scale Projects, Authentication, Front-end, Minimum Viable Product (MVP), API Integration, Qdrant, Artificial Intelligence (AI), Web Scraping, FastAPI, Generative Artificial Intelligence (GenAI), Retrieval-augmented Generation (RAG), Vector Databases, Large Language Models (LLMs), Document Parsing, AI Integration, CI/CD Pipelines, Communication, Documentation, Front-end Development, Development, RAG Architecture, System Architecture, eCommerce, AI Architecture, Agentic AI, WebSockets, Serverless, Data Science, Vector Data, LangChain, Deep Learning, Machine Learning, Microsoft Azure, Servers, Ajax, Scalable Vector Databases, Vector Search, Applications
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