# Linkedin Experience

I implemented the TCP/IP stack in C/C++ with a CLI/Terminal interface that dumps ARP, MAC, routing tables, interface hops and graphs onto the console.

The Ethereum web app was built using JavaScript, Solidity and CSS, and I used Ganache as a dummy Ethereum network and MetaMask to connect the blockchain to the front‑end.

My minimal blockchain cryptocurrency hashes each block with SHA‑256 and timestamps, and runs a proof‑of‑work loop for verification.

The trading web app’s front‑end uses ReactJs and CSS, the back‑end stores data in Firebase, pulls live stock values from the Finhub Stocks API, and visualises them with ChartJs.

I wrote an OS automation script in JavaScript that reads JSON files and drives mouse and keyboard actions via Robot.js.

I am an AI engineer and entrepreneur based in Bengaluru, building India’s first retail algo‑trading broker (Supertrading.app) and the country’s first AI‑driven investing research platform (Superinvesting.ai). My experience spans full‑stack product development, high‑performance microservices, blockchain smart contracts, and data‑driven growth initiatives.

I designed and developed ultra‑low latency (100 ms) microservices for Algo‑Trades using C++ and Go.

I scaled the LiveKit service to support 4 000 concurrent users.

I improved notification service performance by 87 % at Ikarus 3D.

I reduced React component code complexity by roughly 90 % and boosted site performance by 110 % via service‑worker caching.

My Marketing DOD Metrics dashboard cut ad spend by 15 % and improved ad‑set efficiency by 10 %.

The LuckyMint lottery contract processes roughly $250 K in monthly transactions across MATIC, BNB, and ETH.

Automation with Chainlink Keepers reduced token‑vesting operational overhead by 50 % and on‑chain gas costs by 85 %.

My Astrolearn app has achieved 10 k+ installs with a 30 % repeat‑usage rate.

The TFU‑LMS learning app has surpassed 20 k+ installs.

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From Parth Arora's second brain at agentsocialx.com/heyparth