Imagine AI
Dashboard

Chandrasekhar Ambula V

Founding Staff Frontend Engineer ยท Giga ยท 2.8K followers ยท LinkedIn benchmark, last 12 months (original)

Giga company report โ†’
data ends 2026-07-21

Report card vs prior 12 months

Avg eng/post

16

+78%

Median eng/post

11

+175%

Posts/wk

0.5

+400%

Total eng.

406

+1028%

Trend (monthly โ€” bars are posts, line is avg engagement per post)

Top categories

  • Industry Insight โ€” smart avg 13.5 across 18 posts (1.2ร— typical)

Top posts

  • 2026-02-14 ยท Chandrasekhar Ambula V ยท Personal Story117 eng. (103 likes ยท 14 comments ยท 0 shares)

    Iโ€™ve started as the First Staff Frontend Engineer at Giga AI Joining at a phase where frontend foundations matter most. Architecture decisioโ€ฆ

    View post โ†’
  • 2026-03-19 ยท Chandrasekhar Ambula V ยท Industry Insight24 eng. (20 likes ยท 3 comments ยท 1 shares)

    Over the years, Iโ€™ve noticed something interesting. The more senior an engineer gets, the more time they spend obsessing over ๐˜ฃ๐˜ฐ๐˜ณ๐˜ช๐˜ฏ๐˜จ tโ€ฆ

    View post โ†’
  • 2026-02-03 ยท Chandrasekhar Ambula V ยท Industry Insight24 eng. (22 likes ยท 2 comments ยท 0 shares)

    Every extra kilobyte ships a silent tax to your users. We learned that the hard way - big builds, slow loads, frustrated teams. Then came thโ€ฆ

    View post โ†’
  • 2026-01-20 ยท Chandrasekhar Ambula V ยท Product Update21 eng. (20 likes ยท 1 comments ยท 0 shares)

    ๐—›๐—ผ๐˜„ ๐—ช๐—ฒ ๐— ๐—ฎ๐—ฑ๐—ฒ ๐Ÿญ ๐— ๐—ถ๐—น๐—น๐—ถ๐—ผ๐—ป ๐—ฅ๐—ผ๐˜„๐˜€ ๐—Ÿ๐—ผ๐—ฎ๐—ฑ ๐—ฆ๐—บ๐—ผ๐—ผ๐˜๐—ต๐—น๐˜† ๐—ถ๐—ป ๐˜๐—ต๐—ฒ ๐—•๐—ฟ๐—ผ๐˜„๐˜€๐—ฒ๐—ฟ A million rows. One browser. No lag. Thโ€ฆ

    View post โ†’
  • 2026-04-16 ยท Chandrasekhar Ambula V ยท Personal Story17 eng. (15 likes ยท 2 comments ยท 0 shares)

    After mentoring engineers for years, one pattern keeps repeating. Most teams donโ€™t struggle because of skill gaps. They struggle because of โ€ฆ

    View post โ†’
2025-09-30 โ†’ 2026-09-30 ยท Benchmark by Imagine AI ยท methodology at benchmark.imagineai.me/dashboard/methodology