AFRAN USMANI

Gurugram, IN.

About

Afran is an enthusiastic and results-oriented software development engineer with expertise in leveraging Java, Spring Boot, and MongoDB to create scalable backend systems. He has experience in web scraping, RESTful APIs, and real-time data processing.

Work

OfBusiness Pvt Ltd

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Software Engineer

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Highlights

Integrated and automated tender data extraction from the IREPS portal to enhance procurement intelligence and lead generation.

Engineered web scraping code, optimizing data extraction by defining various extensions and processing workflows with ChromeDriver, leading to a 60% increase in productivity and 80% faster data retrieval.

Implemented a comprehensive alerting mechanism by leveraging Amazon S3, Redis, Prometheus, and PromQL, orchestrated scheduled daily alert reports, ensuring timely notifications via Gmail chat.

Tech Stack: Java | Spring-Boot | Selenium | MongoDB | Git | Jenkins | Amazon S3 | RESTful API

Spinny

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Backend Engineer Intern

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Highlights

Directed the development and maintenance of the Hub side application, using Python and Django frameworks to design and deploy adaptable backend solutions.

Implemented cutting-edge GraphQL APIs to streamline data retrieval and manipulation, resulting in a significant performance boost of 60%.

Played a pivotal role in the enhancement of the test drive module, employing Python, Django, REST, AWS, and Jenkins to streamline processes and improve end customer satisfaction.

Tech Stack: Python | Django | GraphQL | REST | AWS | Jenkins | HTML/CSS/JavaScript

Education

Amity University

Bachelor of Technology Computer Science and Engineering

Courses

Data Structure, Computer Fundamentals, System Design and Data Science

Awards

Secured 1807 - 4 Star Rating at CodeChef

Ranked among top 3.5% Indian Coders on CodeChef

Secured AIR 5 in GeeksForGeeks Code to Contribute Contest.

Secured Global Rank 88 out of 28k+ Coders in June Long Challenge'21

Skills

Technologies/Frameworks

SpringBoot, Django, Nodejs, Reactjs, Nextjs, Git, GitHub.

Languages

Java, Python, C++, HTML, CSS, JavaScript, SQL.

Projects

BidAssist & Nexizo.ai

Summary

• Crawled and indexed tenders and bid-award data from 10+ Indian state and international government procurement websites (BidAssist), and built backend microservices powering AI-driven B2B procurement intelligence (Nexizo.ai) — both serving lakhs of users daily. • Built feature to categorize Indian tenders by Pincode and Location; linked them to award results from IREPS, BidPlus, eProcure, and other portals — reducing manual lookup time for procurement teams. • Engineered high-throughput data ingestion and enrichment pipelines feeding Nexizo’s AI recommendation engine, aggregating procurement signals across thousands of vendors and categories to enable real-time supplier analytics.

Color Recognition

Summary

Built a desktop application that automatically identifies and names colors from a pixel click, using a curated dataset of RGB values mapped to human-readable color names via OpenCV and Pandas. OpenCV, Pandas, and Numpy are the Python packages that are used for this project.