---
title: "Shabnam Ansari - Engineer Intern in Delhi | Tal"
description: "Meet Shabnam Ansari, Software Development Engineer | Full Stack Developer | MERN Stack | React.js | Node.js | MongoDB | Machine Learning | Python | 500+ DSA Problems Solved | Building Scalable Web Applications based in Delhi. AI stack includes claude code, cursor, and deepmind."
image: "https://tal.club/meet/shabnam-ansari/share-image"
---

# Shabnam Ansari on Tal

## Headline

Software Development Engineer \| Full Stack Developer \| MERN Stack \| React\.js \| Node\.js \| MongoDB \| Machine Learning \| Python \| 500\+ DSA Problems Solved \| Building Scalable Web Applications

## About

🚀 Software Development Engineer and Full Stack Developer with hands\-on experience building scalable web applications, RESTful APIs, and AI\-powered solutions using React\.js, Node\.js, Express\.js, MongoDB, Python, and Machine Learning\. I specialize in Full Stack Development, MERN Stack, REST API Development, Database Design, Machine Learning, and Software Engineering\. Through internships and academic projects, I have delivered production\-ready applications, optimized backend performance, and built intelligent systems that solve real\-world problems\. 🔹 Key Achievements ✔ Developed 3 full\-stack web applications using React\.js, Node\.js, Express\.js, and MongoDB, improving performance and user experience through optimized frontend and backend architecture\. ✔ Built scalable REST APIs supporting 500\+ concurrent requests, enabling reliable communication between frontend interfaces and backend services\. ✔ Reduced page load times by 30% through component optimization, efficient rendering strategies, and frontend performance improvements\. ✔ Optimized database queries and backend logic, improving API response times by 20% and increasing application throughput by 15%\. ✔ Developed an AI\-powered sustainable product design solution integrating machine learning models and predictive analytics, reducing manual evaluation effort by 40%\. ✔ Improved decision accuracy by 22% through predictive analytics pipelines spanning multiple product categories and environmental\-impact assessments\. ✔ Built a Machine Learning model achieving 85% prediction accuracy on a healthcare dataset using Logistic Regression, Random Forest, SVM, and Decision Tree algorithms\. ✔ Solved 500\+ Data Structures and Algorithms problems across LeetCode, HackerRank, CodeChef, InterviewBit, and SPOJ\. 🔹 Core Skills React\.js • Node\.js • Express\.js • MongoDB • JavaScript • TypeScript • Python • REST APIs • Machine Learning • Flask • SQL • PostgreSQL • Redux • Next\.js • Tailwind CSS • Git • Docker • AWS • Data Structures & Algorithms Passionate about building scalable software products, solving challenging engineering problems, and creating impactful technology solutions through modern web development and AI\.

## Location

Delhi

## AI stack

claude code

cursor

deepmind

deepseek

gemini

hugging face

## Work experience

Engineer Intern at Central Electronics Limited, Jun 2025 \- Sep 2025 · 4 mos, Engineering Intern \| Central Electronics Limited \| AI \| Machine Learning \| Predictive Analytics • Developed an AI\-powered sustainable product design platform integrating Machine Learning models with engineering design workflows, reducing manual material evaluation effort by 40% and improving design efficiency\. • Built predictive analytics pipelines for lifecycle assessment, sustainability scoring, and environmental impact analysis across 5 product categories, improving decision\-making accuracy by 22%\. • Automated data preprocessing, feature engineering, and model inference workflows using Python, Pandas, NumPy, and Scikit\-Learn, reducing assessment turnaround time by 35%\. • Designed data\-driven evaluation frameworks to analyze material performance, sustainability metrics, and product optimization opportunities across multiple engineering use cases\. • Applied machine learning algorithms, statistical analysis, and predictive modeling techniques to generate actionable insights supporting sustainable product development initiatives\. • Developed scalable analytics workflows capable of processing and transforming large datasets for model training, validation, and performance monitoring\. • Conducted exploratory data analysis \(EDA\), data cleansing, model evaluation, and hyperparameter optimization to improve prediction reliability and business impact\. • Collaborated with engineering and technical stakeholders to translate sustainability requirements into AI\-driven analytical solutions\. • Improved operational efficiency by automating repetitive assessment processes, reducing manual intervention, and enabling faster data\-driven decisions\. • Applied Python, Machine Learning, Predictive Analytics, Scikit\-Learn, Data Analysis, Feature Engineering, Model Optimization, Sustainability Analytics, EDA, and Artificial Intelligence best practices to deliver scalable intelligent solutions\.

Contributor at GirlScript Summer of Code, Oct 2024 \- Jan 2025 · 4 mos, India, Contributor \| GirlScript Summer of Code \(GSSoC\) \| Open Source Development • Contributed to open\-source software projects under GirlScript Summer of Code \(GSSoC\), collaborating with maintainers and developers to enhance application functionality, code quality, and user experience\. • Developed and implemented feature enhancements, bug fixes, and performance improvements across multiple project modules using modern software development practices\. • Collaborated with distributed teams through Git and GitHub workflows, participating in code reviews, issue resolution, pull request management, and Agile\-style development processes\. • Resolved reported issues, optimized existing codebases, and contributed reusable components that improved application maintainability and development efficiency\. • Followed software engineering best practices including version control, documentation, testing, debugging, and clean code principles to ensure high\-quality contributions\. • Worked with open\-source communities to understand project requirements, analyze technical challenges, and deliver impactful solutions within defined timelines\. • Strengthened expertise in Full Stack Development, API Integration, Frontend Development, Backend Development, and collaborative software engineering through real\-world project contributions\. • Applied Git, GitHub, Open Source Development, JavaScript, React\.js, Node\.js, REST APIs, Problem Solving, Debugging, and Software Development best practices while contributing to community\-driven projects\.

Full Stack Developer Intern at Alpha AI, Jun 2024 \- Aug 2024 · 3 mos, Delhi, India, Full Stack Developer Intern \| Alpha AI \| React\.js \| Node\.js \| Express\.js \| MongoDB • Developed and deployed 3 full\-stack web applications using React\.js, Node\.js, Express\.js, and MongoDB, delivering scalable user\-centric solutions across multiple business use cases\. • Engineered responsive frontend interfaces and reusable React\.js components, improving application performance and reducing average page\-load time by 30% through component optimization and efficient rendering techniques\. • Built scalable RESTful APIs and backend services using Node\.js and Express\.js, supporting 500\+ concurrent requests while ensuring reliable communication between frontend and backend systems\. • Designed and implemented end\-to\-end application workflows including authentication, data management, API integration, and user\-interaction features to enhance application usability and functionality\. • Optimized MongoDB queries, indexing strategies, and backend business logic, reducing API response times by 20% and improving overall application throughput by 15%\. • Applied debugging, testing, and performance\-tuning techniques to improve code quality, system stability, and production readiness across multiple releases\. • Collaborated within Agile development teams to deliver new features, resolve technical issues, and accelerate feature rollout timelines by 25%\. • Integrated REST APIs, database services, and frontend components to create seamless user experiences and scalable application architectures\. • Participated in application deployment, version control, and development lifecycle activities following modern software engineering practices\. • Applied React\.js, Node\.js, Express\.js, MongoDB, JavaScript, REST APIs, Full Stack Development, Database Design, API Development, Agile Methodology, and Software Engineering best practices to build production\-ready web applications\.

## Education

Bachelor of Technology \- BTech, Mechanical and automation engineering, Indira Gandhi Delhi Technical University for Women

Joseph and Mary Public School

[View the original profile](https://tal.club/meet/shabnam-ansari)

```json
{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "Person",
      "@id": "https://tal.club/meet/shabnam-ansari#person",
      "name": "Shabnam Ansari",
      "url": "https://tal.club/meet/shabnam-ansari",
      "image": "https://tal.club/meet/shabnam-ansari/profile-photo.jpg",
      "description": "Meet Shabnam Ansari, Software Development Engineer | Full Stack Developer | MERN Stack | React.js | Node.js | MongoDB | Machine Learning | Python | 500+ DSA Problems Solved | Building Scalable Web Applications based in Delhi. AI stack includes claude code, cursor, and deepmind.",
      "jobTitle": "Engineer Intern",
      "worksFor": {
        "@type": "Organization",
        "name": "Central Electronics Limited"
      },
      "hasOccupation": {
        "@type": "Occupation",
        "name": "Engineer Intern"
      },
      "homeLocation": {
        "@type": "Place",
        "name": "Delhi"
      },
      "alumniOf": [
        {
          "@type": "EducationalOrganization",
          "name": "Indira Gandhi Delhi Technical University for Women"
        },
        {
          "@type": "EducationalOrganization",
          "name": "Joseph and Mary Public School"
        }
      ],
      "knowsAbout": [
        "claude code",
        "cursor",
        "deepmind",
        "deepseek",
        "gemini",
        "hugging face"
      ],
      "mainEntityOfPage": {
        "@id": "https://tal.club/meet/shabnam-ansari#webpage"
      }
    },
    {
      "@type": "ProfilePage",
      "@id": "https://tal.club/meet/shabnam-ansari#webpage",
      "url": "https://tal.club/meet/shabnam-ansari",
      "name": "Shabnam Ansari on Tal",
      "description": "Meet Shabnam Ansari, Software Development Engineer | Full Stack Developer | MERN Stack | React.js | Node.js | MongoDB | Machine Learning | Python | 500+ DSA Problems Solved | Building Scalable Web Applications based in Delhi. AI stack includes claude code, cursor, and deepmind.",
      "dateModified": "2026-08-05T18:42:06.883Z",
      "isPartOf": {
        "@id": "https://tal.club/#website"
      },
      "mainEntity": {
        "@id": "https://tal.club/meet/shabnam-ansari#person"
      },
      "primaryImageOfPage": {
        "@type": "ImageObject",
        "url": "https://tal.club/meet/shabnam-ansari/profile-photo.jpg",
        "contentUrl": "https://tal.club/meet/shabnam-ansari/profile-photo.jpg",
        "caption": "Shabnam Ansari profile photo on Tal"
      },
      "inLanguage": "en-IN"
    }
  ]
}
```