Nilay Namit

Software Engineer

Bettiah, Bihar, India0 mo experience

Key Highlights

Proficient in Full-Stack Development with modern frameworks.
Experienced in implementing efficient web scraping solutions.
Strong background in optimizing web applications for performance.

Stackforce AI infers this person is a Full-Stack Developer with expertise in SaaS and E-commerce solutions.

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Skills

Core Skills

Full-stack DevelopmentWeb DevelopmentWeb ScrapingData Engineering

Other Skills

BeautifulSoupCachingCascading Style Sheets (CSS)CommunicationCompetitive ProgrammingData Structure and algorithmDjangoExpress.jsFirebaseGitGitHubGitlabGroup DiscussionsHTMLHigh-Level Design

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Biz2x

Associate Software Engineer

Sep 2025 – Present · 9 mos · Noida, Uttar Pradesh, India · On-site

Bosscoder academy

Software Developer Intern

Dec 2024 – May 2025 · 5 mos · Noida, Uttar Pradesh, India · On-site

Developed and integrated a dynamic instructor form using Next.js, enabling seamless submission of instructor data to Firebase
via backend APIs. Improved UX and reduced data redundancy by replacing repetitive instructor data entry with a dropdown-
based selection with a lot of code optimisation, significantly speeding up the submission process.
Implemented client-side caching using React Query and persisted the query to localStorage to load on hard refresh.
Managed LocalStorage space through LRU Eviction strategy to minimize redundant API saving a lot of money for
the company, speeding the load speed to 4X.
Developed a responsive Data Engineer landing page using Next.js and Tailwind CSS, leveraging both new and reusable
components with conditional rendering through props for optimal flexibility and maintainability.

Next.jsFirebaseReact QueryLocalstorageTailwind CSSFull-Stack Development+1

Truminds software systems

Software Engineer Intern

Jun 2024 – Jul 2024 · 1 mo · Gurugram, Haryana, India · On-site

Developed and implemented web scraping scripts using BeautifulSoup to extract product data from
popular e-commerce platforms, including Flipkart, Amazon, Blinkit, and Big Basket.
Employed Selenium for dynamic browser automation, enabling seamless extraction of data from websites with
dynamic content loading.
Processed and stored scraped data in CSV format for machine learning model training, with subsequent storage in
MongoDB for future applications and analytics.
. The web scraping solution developed streamlined the data collection process, reducing manual effort and time by automating
information extraction from various platforms.

BeautifulSoupSeleniumMongoDBWeb ScrapingData Engineering