Headline

Analyst @ Meesho | Backend Engineering | Distributed Systems | AI Systems | Python | TypeScript

About

I enjoy building systems that are fast, reliable, and difficult to break. I'm currently an Analyst at Meesho, working across product analytics, finance, and automation. My work involves large-scale SQL analysis, Python automation, data pipelines, and AI-enabled workflows, including work with 100M+ user records. Outside work, I build software systems end-to-end. I've built a distributed task queue sustaining ~1,000 tasks/sec, a real-time code observability platform processing thousands of telemetry events/sec, and a multi-agent AI system for quantitative strategy research. My engineering interests are backend systems, distributed systems, AI infrastructure, developer tooling, and scalable data systems. My main stack includes Python, TypeScript, Node.js, FastAPI, Redis, PostgreSQL, ClickHouse, Docker, AWS, LangGraph, and LangChain. I'm always interested in challenging engineering problems and opportunities to build useful, scalable systems.

Location

Greater Bengaluru Area

AI stack

anthropic apis

antigravity

claude code

claude

notebooklm

notion

Work experience

Business Analyst at Meesho, Jan 2026 - Present · 9 mos, Bengaluru, Karnataka, India, • Built and deployed Python automation workflows and data pipelines for large-scale operational processes, reducing manual work and improving workflow throughput. • Performed RCA and hypothesis validation across 100M+ records using SQL, supporting product, finance, and business decisions. • Built SQL-powered analytics datasets and automated dashboards tracking feature adoption, customer segmentation, North Star metrics, and business KPIs. • Built an Investor Relations CRM under the CFO's office, automating email ingestion, outbound communication, and historical investor-data onboarding. • Integrated Claude API to extract context from unstructured investor emails and transform conversations into structured records. • Built Databricks Genie solutions and automated recurring RCA workflows; automated monthly P&L workflows supporting FP&A, Investor Relations, PR, and quarterly financial reporting.

Software Engineer Intern at Markit, Apr 2025 - Jun 2025 · 3 mos, Gandhinagar, Gujarat, India, • Developed high-traffic admission applications using Next.js, focusing on performance, accessibility, responsiveness, and production reliability. • Handled 528K+ unique users across 650K+ sessions during the university admission season. • Built dynamic admission forms and automated data capture using the Google Sheets API, streamlining backend workflows. • Integrated Microsoft Clarity to analyze user behavior through session recordings, rage clicks, and scroll-depth metrics. • Automated contact-sheet downloads, reducing manual work for the admissions team. • Deployed production applications with dynamic routing, lazy loading, SEO optimization, and performance-focused development.

Education

Bachelor of Technology - BTech, All, Dhirubhai Ambani Institute of Information & Communication Technology, Gandhi Nagar

Public links

ramya.is-a.dev: https://ramya.is-a.dev/