Adarsh _

Software Engineer

Jamshedpur, Jharkhand, India1 yr 7 mos experience

Key Highlights

Passionate about solving complex problems.
Competitive programming achiever with multiple rankings.
Strong foundation in Electronics and Intelligent Systems.

Stackforce AI infers this person is a Fullstack Developer with a focus on UI optimization in SaaS environments.

Contact

Skills

Core Skills

ReactGraphql

Other Skills

Data StructuresFigma (Software)GitGo (Programming Language)Intersection Observer APIJavaScriptJestMongoDBNext.jsPuppeteerRedux.jsTypeScriptbinary searchreact-virtualizedreact-virtuoso

About

I am passionate about solving complex problems, whether it's optimizing software performance, enhancing user experience, or tackling algorithmic challenges. As a Product Engineer at Sprinklr, I have worked on improving system efficiency, reducing load times, and developing scalable solutions using Next.js, GraphQL, React. Beyond my professional work, I enjoy competitive programming (ACM-ICPC regionalist, CodeChef 5-star, Codeforces Expert) and have ranked in Google Kickstart and Facebook Hackercup. I love math, puzzles, and Operating Systems, particularly low-level system design and concurrency, and have built projects like a custom shell in Rust. My academic foundation is a Dual Degree (B.Tech + M.Tech) in Electronics & Electrical Communication Engineering and Vision & Intelligent Systems from IIT Kharagpur, with a minor in Computer Science. Always eager to collaborate on cutting-edge technology, contribute to open-source, and explore innovative problem-solving approaches.

Experience

Uipath

Software Engineer

Jul 2025 – Present · 8 mos · Bengaluru, Karnataka, India · On-site

Sprinklr

2 roles

Product Engineer

Jul 2024 – Jun 2025 · 11 mos · Gurugram, Haryana, India · On-site

Next.jsGraphQLReact

Product Engineering Intern

May 2023 – Jul 2023 · 2 mos · Gurugram, Haryana, India · On-site

Explored several libraries such as react-window, react-virtualized, react-virtuoso for user interface optimization.
Leveraged Intersection Observer API to construct a 1-D virtualized list for efficient scrolling.
Used binary search and internal caching to reduce scripting time by 22.9% and total blocking time by 21.8%
Conducted thorough performance testing with Puppeteer, comparing my table solution with existing libraries.
Utilized segment tree for optimization of cell resizing. Achieved cross-browser RTL support.

react-windowreact-virtualizedreact-virtuosoIntersection Observer APIbinary searchPuppeteer+2