Manan Aggarwal profile photo 1 on Tal

Manan Aggarwal

Software Engineer | Ex-Wayfair | Full Stack & AI Engineer | React • Node.js • Spring Boot • Docker | Flipkart GRiD 7.0 National Semi-Finalist | LeetCode 1700+ | Codeforces Pupil | NSUT CSE (AI)

Greater Delhi Area

< 1 year of work experience

Wayfair
Jan 20266 mosJun 2026

Bengaluru, Karnataka, India

Software Engineer Intern | Wayfair – Global Supplier Technology - Built a supplier bulk-update platform supporting 10K+ product updates per batch, reducing update turnaround from days to seconds. - Developed Datadog observability dashboards across 15+ production APIs, improving monitoring and reducing issue detection time by ~40%. - Shipped supplier-facing personalization features used across thousands of products within Wayfair's catalog ecosystem. - Collaborated with cross-functional teams to deliver scalable production features and platform improvements. Tech Stack: Java, Spring Boot, React, TypeScript, GraphQL, Datadog, GCP.
House Technologies
May 20243 mosJul 2024

Delhi, India

As a Front-End Developer Intern at House Technologies, I collaborated with cross-functional teams to build responsive, user-friendly web pages using modern web technologies. I focused on implementing clean, efficient code using HTML, CSS, and ReactJS to create seamless user experiences across desktop and mobile devices.
House Technologies
May 20243 mosJul 2024

• Built responsive web applications using React.js and CSS with strong mobile and cross-browser compatibility. • Integrated frontend systems with backend REST APIs while collaborating through Git-based Agile workflows.

Manan’s AI Stack

codex
codex
cursor
cursor

Education

Netaji Subhas University of Technology (NSUT, Formerly NSIT)

Bachelor of Technology, Computer Software Engineering

Netaji Subhas University of Technology (NSUT, Formerly NSIT)

20224 yrs2026

Join Manan and 10k+ other professionals on

Tal Boss

Tal is the app where bosses meet engineers & builders directly, without middlemen

Download Tal Boss

Manan Aggarwal on Tal

Headline

Software Engineer | Ex-Wayfair | Full Stack & AI Engineer | React • Node.js • Spring Boot • Docker | Flipkart GRiD 7.0 National Semi-Finalist | LeetCode 1700+ | Codeforces Pupil | NSUT CSE (AI)

About

I'm a Software Engineer passionate about building scalable products that solve real-world problems. As a Software Engineer Intern at Wayfair, I developed production-ready features that improved supplier workflows, built observability dashboards using Datadog, and shipped self-service tools that automated complex catalog operations. I enjoy working across the full stack, with experience in React, Node.js, Java, Spring Boot, GraphQL, Docker, and cloud-based development. Recently, I've been exploring AI and LLM-powered applications, building projects that combine machine learning with practical software engineering to create intelligent, production-focused solutions. Beyond internships, I've built projects ranging from an AI-powered YouTube Shorts automation platform and a WebRTC-based video conferencing application to a VS Code extension that generates contextual code documentation using LLMs. I enjoy taking products from idea to deployment while focusing on scalability, performance, and user experience. Outside of development, I actively practice competitive programming with 700+ problems solved on LeetCode (1700+ rating) and a Codeforces Pupil rating, which has strengthened my problem-solving and algorithmic thinking. I was also a Flipkart GRiD 7.0 National Semi-Finalist. I'm currently looking for opportunities to build impactful software, collaborate with talented engineering teams, and continue growing as a software engineer.

Location

Greater Delhi Area

AI stack

codex

cursor

Work experience

Software Engineer Intern at Wayfair, Jan 2026 - Jun 2026 · 6 mos, Bengaluru, Karnataka, India, Software Engineer Intern | Wayfair – Global Supplier Technology - Built a supplier bulk-update platform supporting 10K+ product updates per batch, reducing update turnaround from days to seconds. - Developed Datadog observability dashboards across 15+ production APIs, improving monitoring and reducing issue detection time by ~40%. - Shipped supplier-facing personalization features used across thousands of products within Wayfair's catalog ecosystem. - Collaborated with cross-functional teams to deliver scalable production features and platform improvements. Tech Stack: Java, Spring Boot, React, TypeScript, GraphQL, Datadog, GCP.

Reactjs Developer at House Technologies, May 2024 - Jul 2024 · 3 mos, Delhi, India, As a Front-End Developer Intern at House Technologies, I collaborated with cross-functional teams to build responsive, user-friendly web pages using modern web technologies. I focused on implementing clean, efficient code using HTML, CSS, and ReactJS to create seamless user experiences across desktop and mobile devices.

Full Stack Engineer at House Technologies, May 2024 - Jul 2024 · 3 mos, • Built responsive web applications using React.js and CSS with strong mobile and cross-browser compatibility. • Integrated frontend systems with backend REST APIs while collaborating through Git-based Agile workflows.

Education

Bachelor of Technology, Computer Software Engineering, Netaji Subhas University of Technology (NSUT, Formerly NSIT)