Headline

SWE | Go, Python, Node.js. TypeScript | LLM & Agent Infrastructure

About

Software Engineer specialising in building distributed systems that survive hyper-growth. I bridge the gap between complex backend logic (Golang/Node.js) and high-performance product engineering. Most recently at Vault Wealth (Peak XV), I engineered core financial planning services from the ground up, migrating critical workflows to Temporal to eliminate 90% of failures and saving the engineering team massive operational overhead. Previously, as an early engineer at Front.Page (YC S'21), I helped scale the platform from 15k to 200k DAUs in just 14 weeks. I focus on high-leverage engineering—whether it's reducing HTML load times from 600ms to 60ms for SEO, building real-time stock pipelines using Kafka, or deploying RAG-based chatbots that reduce support queries by 90%. 🛠 Tech Stack: Languages: Golang, JavaScript/TypeScript, Python Backend & Data: Node.js, MySQL, PostgreSQL, Redis, Kafka, Clickhouse, BigQuery Infrastructure: AWS, GCP, Docker, Kubernetes, Temporal AI & Search: RAG, Vector Databases (Milvus), ElasticSearch, OpenAI APIs

Location

Bengaluru

AI stack

claude code

claude

codex

cursor

grok

hermes agent

Work experience

Software Engineer at Vault, Feb 2025 - Present · 1 yr 7 mos, Bengaluru, Karnataka, India, - Engineered a Financial Planning Microservice using Go and MySQL, developing proprietary logic for automated financial health scoring. - Implemented Workflow Orchestration via Temporal, migrating critical business processes to eliminate 90% of transient failures and significantly reducing engineering operational overhead. - Executed a frontend stack migration from MUI to Tailwind CSS to streamline UI development and improve build efficiency. - Developed modular, high-performance React components for a responsive wealth management dashboard.

Software Engineer at FrontPage (YC S21), Jan 2022 - Jan 2025 · 3 yrs 1 mo, Bengaluru, - Architecture & Scalability: Developed a high-concurrency stock data pipeline using Go, Kafka, and ProtoBuffers, facilitating platform growth from 15k to 200k DAU within 14 weeks. - Generative AI & Personalization: Deployed a production-grade RAG pipeline and vector-powered recommendation engine using BERT Embeddings and Milvus (Vector DB), increasing user engagement by 40%. - Real-time Systems: Designed a low-latency stock tick delivery system using Socket.io and Redis-based subscription management for real-time market data. - Performance Engineering: Achieved significant latency reduction in SEO performance, decreasing HTML load times from 600ms to 60ms through strategic Redis caching and server-side optimization. - AI Automation: Built RAG-based moderation and support agents using OpenAI APIs, automating 90% of human intervention in support workflows. - Data Infrastructure: Integrated Clickhouse and Rudderstack for high-volume event aggregation and real-time user behavior analytics. - Fintech & Payments: Managed the complete lifecycle of stock fundamental data and integrated Razorpay for secure transaction processing, contributing to a 50% increase in overall revenue. - Efficiency & Optimization: Implemented O(1) space/time complexity for retrieval of user notification counts and optimized session handling to reduce database calls by 92%. Tech Stack : NodeJS, ReactJS, Kafka, Redis, ElasticSearch, Docker, Golang, GCP, MySQL, Python, LLMs, Clickhouse, Rudderstack, Kubernetes

SWE : Frontend Developer at WFWA, Sep 2021 - Jan 2022 · 5 mos, Remote, - Created Frontend Web Applications from scratch using ReactJS, Redux, MUI, Framer-Motion & Cypress. - Actively contributed towards the NodeJS backend of the application.

Prism Research Intern at Samsung India, May 2021 - Nov 2021 · 7 mos, Remote, - Designed & implemented the solution to the problem of stitching multiple videos into a panoramic view in real-time. - Worked on multiple algorithms provided by OpenCV and made Electron-based GUI for easy access. Tech Stack - Python, OpenCV, ElectronJS

SDE : Full Stack Developer at Curiouz TechLabs, Dec 2020 - Feb 2021 · 3 mos, Manipal, - Worked on the Streamer app that aims to solve healthcare problems using facial recognition. Managed the project from ideation to development. - Translated requirements from UI prototypes into a web portal with ReactJS. Built REST API backend using NodeJS. Tech Stack - ReactJS, NodeJS, MongoDB.

Education

Bachelor of Technology - BTech, Computer Science, Manipal institute of technology

City Montessori School

Public links

github: https://github.com/sarthakagrawal927