Nadeem Ahmad

Pivony

Built customer-facing dashboards in React.js with charts, filters, and role-based access, improving data visibility for 200+ active users. Designed and deployed Django REST APIs to handle survey analytics and sentiment analysis, integrating with third-party NLP services. Developed a web scraper for Google Maps reviews, achieving ~90% accuracy in extracting location-based feedback data for analytics. Optimized data pipelines by cleaning and normalizing unstructured reviews, reducing processing errors by 25%. Worked closely with product managers to ship features in 2-week Agile sprints, ensuring timely delivery of client requests.

CloudQA

Migrated legacy documentation to Docusaurus, improving clarity and reducing onboarding time for new developers. Developed a fully automated API for OTP extraction from emails, reducing manual QA effort by 40% and accelerating test cycles. Built and maintained advanced snapshot testing features using Selenium and Playwright, expanding test coverage and improving product stability. Collaborated with cross-functional teams to enhance testing workflows on AWS, ensuring high availability and scalability.

Aviro Energy

Developed AI-driven electrical bill analysis solutions for detecting errors in electrical bills. I introduced and implemented database which is SQL and integrate with fronted to record the appliance usages. I and my team are mainly responsible for data collection and manipulation for frontend so electrical engineers can resolve the issues by going through data for this we built end - to - end API which secure and detect errors by 70 percent accuracy.

Resume Hint.

• I build an AI-powered web application designed to help job seekers analyze their resumes and generate tailored career communication like cold emails and cover letters. The system uses Large Language Models (LLMs) to ensure the generated content closely matches job descriptions, achieving around 70% relevance for better targeting. On the backend, I used Django REST Framework along with PostgreSQL to handle data efficiently and support seamless AI integration.
• Tech Stack: NextJS, Tailwind CSS, Django (DRF), PostgreSQL, LLMs (Google Gemma, Ollama).

Chat Application.

• Created a real-time chat application using React.js for the front end and Socket.io for live messaging functionality. Utilized MongoDB for storing user data and chat history, ensuring fast and reliable data retrieval. Designed a clean and responsive UI with Material UI, focusing on user-friendly interaction and modern design principles.
• Tech Stack: ReactJS, Tailwind CSS, Material UI, NodeJS, ExpressJS, Socket.io.

Gallery Application.

• Developed a responsive image gallery application using Next.js for server-side rendering and Tailwind CSS for styling, ensuring a seamless user experience across devices. Integrated PostgreSQL as the database to efficiently manage and store metadata for images Implemented features like image upload, image listing, and user interaction with optimized queries and efficient state management. Focused on performance, scalability, and a clean user interface.
• Tech Stack: Next.js, Tailwind CSS, PostgreSQL, Uploadthing.