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Schedule Interview NowMy name is Faizan A. and I have over 1 year years of experience in the tech industry. I specialize in the following technologies: Web Development, App Development, Python, PHP, node.js, etc.. I hold a degree in Bachelor of Technology (BTech), Bachelor of Technology (BTech). Some of the notable projects I’ve worked on include: Grocery App, Analyzing Car Sales and Profitability across the states using MySQL, Categorization of Articles using Natural Language Processing and ML, Advanced Computer Vision - Object Detection and Recognition, Neural Networks & Deep Learning, etc.. I am based in Lucknow, India. I've successfully completed 12 projects while developing at Softaims.
I specialize in architecting and developing scalable, distributed systems that handle high demands and complex information flows. My focus is on building fault-tolerant infrastructure using modern cloud practices and modular patterns. I excel at diagnosing and resolving intricate concurrency and scaling issues across large platforms.
Collaboration is central to my success; I enjoy working with fellow technical experts and product managers to define clear technical roadmaps. This structured approach allows the team at Softaims to consistently deliver high-availability solutions that can easily adapt to exponential growth.
I maintain a proactive approach to security and performance, treating them as integral components of the design process, not as afterthoughts. My ultimate goal is to build the foundational technology that powers client success and innovation.
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Wishing Basket is a user-friendly mobile application crafted to enhance the gift-giving experience. Developers utilized Swift and SwiftUI for iOS native development, ensuring a seamless and responsive user interface. The app allows users to create and manage personalized wish lists, facilitating easy sharing with friends and family. Key features include event reminders, item addition from various online stores, and collaborative group gifting functionalities. To support efficient data management, developers implemented Firebase for real-time database solutions.
This project utilizes MySQL to analyze car sales data across various states, identifying trends and profitability metrics. By examining sales figures, market demand, and regional economic factors, the analysis aims to determine which states exhibit the highest car selling potential and profitability. The findings will support strategic decision-making for car dealerships and manufacturers, enhancing their market positioning and resource allocation.
In the dynamic media landscape, InfoWorld requires an automated system to efficiently categorize its extensive archive of articles across topics such as World Affairs, Sports, Business, and Science/Technology. This project aims to build a predictive model using advanced machine learning techniques and Natural Language Processing (NLP) to streamline the article classification process. The solution will ensure timely, accurate, and personalized content delivery, enhancing the platform's ability to meet user preferences and improve content management efficiency.
This project focuses on developing a face recognition system using Convolutional Neural Networks (CNN) and advanced image recognition algorithms. The system is designed to detect, identify, and classify faces within images. It includes two key components: a face detection model to accurately locate the position of faces within an image, and a face identification model to match and recognize the detected faces against an existing database. The project emphasizes hands-on implementation to build an efficient, real-time face recognition solution for various practical applications.
This project comprises two sub-projects: Part 1 involves deploying a neural network to develop a regressor and classifier for a communications equipment manufacturer. Part 2 delivers an image classifier utilizing a neural network to recognize and classify numbers from street-level photographs. This model enhances accuracy in identifying numerical data from real-world images, contributing to improved automated visual analysis. Both parts emphasize leveraging AI for predictive and image classification tasks.
Bachelor of Technology (BTech) in Computer engineering
2017-01-01-2021-01-01
Bachelor of Technology (BTech) in Computer science
2017-01-01-2021-01-01