Career

Experience

Over five years building AI systems, full-stack applications, and cloud-native platforms across product engineering, automation, and technical leadership.

5+
Years
2
Companies
5
Engineers Led
August 2025 – August 2026Bengaluru, India

Rakuten India

Senior Software Engineer

Built and extended the Rakuten SixthSense web platform — landing pages, blog, e-books, and documentation — aligning branding across new and existing codebases and integrating HubSpot lead-capture forms. Architected a GenAI lead-enrichment pipeline that analyses company profiles, business signals, and market trends using LLMs to generate context-aware personalised outreach and product-aligned content for LinkedIn and blogs.

View complete responsibilities
  • Developed and redesigned the Rakuten SixthSense web platform — landing page, blogs, e-books, and documentation pages — aligning branding across new and existing codebases.
  • Integrated HubSpot forms for lead capture across web properties.
  • Architected a GenAI-based lead enrichment pipeline to analyse company profiles, industry signals, and business trends using LLMs.
  • Built LLM-powered email automation workflows using enriched company intelligence to generate context-aware, personalised outreach.
  • Designed an LLM-powered content pipeline for LinkedIn and blogs, generating product-focused content aligned with brand voice and market trends.

Selected Impact

  • ~60% faster pre-sales research through automated lead enrichment and company intelligence
  • Personalised AI-generated outreach supporting pipeline quality and SDR engagement
  • Branding alignment across new and existing SixthSense web codebases

Core Stack

Python · LLMs · AWS · HubSpot

January 2021 – August 2025Bengaluru, India

DataGrokr Analytics Private Limited

Software Engineer

Full-stack and AI engineering across four years: built a RAG Q&A assistant, an automated invoice-processing pipeline, and a sentiment call analyser. Led a team of five engineers across delivery, code quality, and architecture. Developed cloud infrastructure automation on AWS and GCP, full-stack React applications with role-based access, and DevOps pipelines.

View complete responsibilities
  • Designed and implemented a Sentiment Call Analyzer using Google Cloud Speech-to-Text and BigQuery, automating transcription and sentiment analysis workflows.
  • Built a RAG-based Q&A assistant enabling natural language queries over enterprise data, delivering context-aware responses through semantic retrieval and LLM generation.
  • Developed an invoice processing pipeline using Vertex AI OCR and data parsing, increasing financial data processing efficiency and reducing manual effort.
  • Automated cloud infrastructure and security workflows, including HTTPS-only redirection, reducing operational costs and improving compliance.
  • Led a team of five engineers, driving technical execution, code quality, and alignment with business objectives.
  • Architected and deployed a GenAI-enabled application platform on AWS with integrated DevOps pipelines.
  • Developed and optimised over 15 API endpoints, integrating advanced features such as Lambda authorisers.
  • Developed front-end applications using React with role-based access control via Auth0.
  • Deployed Flask applications in AWS using ECS and ECR for containerised deployment.

Selected Impact

  • 40% improvement in financial data processing efficiency via AI-powered invoice processing
  • 25% improvement in insight delivery through automated sentiment analysis
  • 25% reduction in operational costs through automated cloud infrastructure management
  • Led a team of five engineers across technical execution, code quality, and delivery

Core Stack

Python · JavaScript · TypeScript · React · Node.js · AWS · GCP · Vertex AI · BigQuery · Google Cloud Speech-to-Text · Docker · Flask · SQL