Himanshu Sharma

Software Engineer

Bengaluru, Karnataka, India1 yr 6 mos experience

AI Enabled

Key Highlights

Stackforce AI infers this person is a Full Stack Developer with strong SaaS and API integration expertise.

Node.jsApi IntegrationData AnalysisAi DevelopmentEtlLsp DevelopmentDockerFrontend DevelopmentUi/ux Design

AWSAWS AthenaAmazon Ads APIsBullMqCommunicationFigmaGrafanaJavaScriptLSPMicroservicesMongoDBNotification SystemsPostgreSQLPrometheusReact Native

CSE Student | Full Stack Developer | Looking to join an early-stage startup and where I build the entire product from scratch

1 yr 6 mos

Total Experience

9 mos

Average Tenure

11 mos

Current Experience

2 roles

Jul 2025 – Present · 11 mos · On-site

Working on an Amazon Ads-based SaaS tool, building end-to-end features, integrating APIs, generating analytical reports, fixing bugs, and keeping the platform running smoothly.
Developed a syncing microservice from scratch to sync call logs, customers and WhatsApp messages, and integrated AWS Transcribe to convert call audio call into text for anyalysis.
Built a WhatsApp message scraper using WAHA to collect account managers’ conversations for furthur analysis and to extract actionable insights.
Developed an AI agent that can launch campaigns with a single prompt and built a RAG pipeline to get seller conversations from channels, creating quick, easy-to-read summaries.
Deployed the Runo service and WhatsApp scraper on AWS ECS, and set up self-hosted Signoz on EKS using Helm to collect metrics and logs for observability.

NodeJsAWSAPI IntegrationMicroservicesData AnalysisNode.js

Sep 2024 – Jun 2025 · 9 mos · On-site

Designed and built a scalable notification system (whatsApp, email, push) automating 1.5M+ montly customer communications, improving retention and account managers efficiency.
Developed an ETL pipeline service to migrate data from MongoDB to PostgreSQL, integrating 4 database connections and loading data into AWS Athena, QuickSight for business dashboards.
Developed AutoPilot for Amazon Ads to generate smart, data-driven recommendations which sellers can apply, reject, or revert to improve ACOS and overall campaign performance.
Developed the DayParting feature, which helps to schedule and automate campaign settings at specific times of the day to optimize spend, making it the most popular features among sellers.
Developed the Book of Business (BOB) feature to automate new store uploads, making onboarding faster and easier for agency owners.
Integrated 10 Amazon Ads APIs, developed a new onboarding flow, store Audit Report, and 8 additional reports to provide actionable insights.

ETLMongoDBPostgreSQLAWS AthenaAmazon Ads APIs

May 2025 – Aug 2025 · 3 mos · India · Remote

Built the core LSP infrastructure for Kro, connecting the server with VS Code to provide real-time diagnostics, debugging, and YAML parsing, along with RGD validation (including CEL), precise diagnostics, and syntax highlighting.
Improved existing Kro validation to return multiple errors with contextual details, enabling the LSP to display all diagnostics at precise positions in VS Code instead of a single error.

LSPVS CodeYAML ParsingLSP Development

May 2024 – Aug 2024 · 3 mos · India · Remote

Rebuilt the MetaCall FaaS CLI for functions testing and implemented automatic function redeployment, logging system. Also, used multi-stage Docker builds to keep it lightweight.
Set up integration testing across multiple projects with custom shell scripts, and enabled direct deployment of functions from a repository URL, backed by test coverage.

DockerShell ScriptingTesting

Oct 2023 – May 2024 · 7 mos · Bengaluru, Karnataka, India

Led the migration of the backend from Node.js 12 to Node.js 20, managing updates, package changes, and testing, while also upgrading the frontend from MUI v4 to v5.
Introduced .extend property to the Raw Builder of forked knex.js ORM, and added wrapper for the transacting method of both Raw Builder and Query Builder to handle invalid transactions.
Enhanced the Contact Book CRM for person and organization contacts by adding custom fields in tables and dashboards, document management, note-taking with reminders, automated contact alerts, and an improved dashboard UI/UX.
Developed a feature for removing junk contacts in the contact book CRM, and integrated background jobs with the ReacherHq service to filter out spam emails for new contacts.
Resolved 16 customer-reported bugs and conducted code reviews during bug sprint period.

Node.jsTypeScriptReact.jsPrometheusGrafana