Headline

Building Legal Tech at Lawyered | Ex Sequoia | Ex YC | Ex Global Fintech

About

A Full‐Stack Software Engineer with expertise in Node.js, React.js, Redux, and Express. Demonstrated success in developing multichannel marketing solutions, custom chatbots, and search optimization. Proficient in AWS services and creating innovative web and cross‐platform applications to drive growth and enhance user experiences. Proficient Tech Stack Node.JS React.JS Typescript Express AWS MySQL, Postgres Redis, Elastic search

Location

Bangalore Urban

AI stack

claude code

codex

cursor

opencode

claudecode

OpenRouter

Work experience

Founder at Helium Data Labs, Jul 2025 - Present · 1 y 3 mo, Remote

Backend Engineer at barq, May 2023 - Aug 2025 · 2 yrs 4 mos, India

Senior Software Engineer (Sequoia 2019) at BiteSpeed, Sep 2022 - May 2023 · 9 mos, Bengaluru, Karnataka, India, • Developed a robust backend system for multichannel marketing, enabling brands to efficiently design and execute marketing workflows for upselling, cross‑selling, and abandoned cart recovery. • Engineered the backend infrastructure for a product that allows brands to create customized WhatsApp chatbots for their Shopify stores, facilitating the creation of automated workflows. • Designed and implemented a seamless pipeline for synchronizing products from Shopify stores to Facebook stores, streamlining the integration process for brands. • Established a reliable pipeline to synchronize WhatsApp risk messaging data directly with brand partners, enhancing communication and risk mitigation efforts.

Founding Engineer Full Stack at Weekday (YC W21), Nov 2021 - Sep 2022 · 11 mos, Bengaluru, Karnataka, India, • Utilized Node.js and Express.js to design a backend system for companies to efficiently create and manage their hiring funnels. • Employed React.js and Redux to develop a responsive frontend, focusing on creating reusable and scalable UI components for a streamlined user experience. • Implemented Elasticsearch (DSL) for candidate search queries, resulting in a 90% reduction in query response time and improving overall performance.

Education

B.tech, Computer Science and Engineering, Medicaps university

Profile highlights

The best product I’ve worked on…: Scaling a Fintech to 1 Million transactions a day

what i've built with AI: A agentic engineering infrastructure

I'm the person in every team who…: Who is constantly curious about improving the product

My hot take about working with AI is…: I can do work of 20 engineers at once

The role I'd take a 20% pay cut for: where people are curious, where people are motivated for the product, they’re working with

Public links

github: https://github.com/nitishsainani