Nirupam Reddy Bhandar profile photo 1 on Tal

Nirupam Reddy Bhandar

SDE-1 at Juspay | Gold Medalist in BTECH (ECM) MU’24 | Ex-Research Engineer Intern at Siemens

Hyderabad

3+ years of work experience

JUSPAY
Jan 20268 mosPresent

Bengaluru, Karnataka, India

JUSPAY
Sep 20241 yr 10 mosJun 2026

Bengaluru, Karnataka, India

◦ Agentic AI Platform: Architected multi-agent workflows and conversational AI pipelines using LangChain and LangGraph, integrating LLMs (Claude/Anthropic, OpenAI, Azure OpenAI, Bedrock) for autonomous merchant analytics and decision-making; designed MCP (Model Context Protocol) server architecture exposing 43+ tools across Breeze, Shopify, Google, and Meta data sources — reducing manual reporting effort by 80% across 1,500+ merchants. ◦ Analytics Pipeline & Observability: Designed a Kafka-based ingestion service to resolve data inconsistencies, improving ClickHouse accuracy from 60% to 95%; built comprehensive observability using Prometheus metrics and Grafana dashboards with SLI/SLO definitions across all production services. ◦ Breeze Analytics Dashboard: Built full-stack analytics dashboard serving 1,500+ merchants with real-time checkout funnel metrics, UTM tracking, and payment performance analytics; owned end-to-end — from backend services to production deployment. ◦ Free Gift Engine: Designed a dynamic rule-based configuration system for auto-applying promotional gifts based on cart conditions; deployed to 100+ merchants in live checkout production. ◦ CI/CD & Deployment: Implemented containerised deployment workflows using Docker, Kubernetes, and Jenkins pipelines for automated testing and reliable production releases.
JUSPAY
Mar 20246 mosAug 2024

Bengaluru, Karnataka, India

◦ Built the first phase of the Breeze Analytics dashboard, introducing checkout performance insights (e.g. UTM share, user funnel journey) and enabling 1,000+ merchants to make data-driven optimizations for the first time. ◦ Automated onboarding of merchants using Puppeteer, reducing the onboarding time by 90% and ensuring consistency by eliminating most manual errors. ◦ Developed real-time Alerting system for anomalies, enabling proactive detection of missing orders and payment issues, and improving platform reliability for merchants. ◦ Revamped the Breeze dashboard UI with a modular CSS framework, scaling it from an internal tool to a product used by 1,000+ merchants; resolved several P0 issues in the checkout, improving product stability and reliability.
Provakil
Jan 20243 mosMar 2024

Pune District, Maharashtra, India

Siemens
Jun 20234 mosSep 2023

Bengaluru, Karnataka, India

Nirupam’s AI Stack

claude code
claude code
claude
claude
codex
codex
github copilot
github copilot
opencode
opencode
LiteLLM
LiteLLM

Education

Mahindra University

Bachelor of Technology, Electronics

Mahindra University

20204 yrs2024

Intermediate/11th amd 12th grades, MPC

Sri saastra jr college

20182 yrs2020

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Nirupam Reddy Bhandar on Tal

Headline

SDE-1 at Juspay | Gold Medalist in BTECH (ECM) MU’24 | Ex-Research Engineer Intern at Siemens

About

I build production-grade AI systems at Juspay — designing multi-agent workflows, LLM integrations, and conversational AI platforms that serve thousands of merchants at scale. My work spans agentic AI pipelines, LLM orchestration (Claude, OpenAI, Azure OpenAI, Bedrock), real-time data pipelines, and full-stack analytics — with a focus on shipping reliable, high-impact systems in production fintech environments. Previously at Siemens as an AI Research Engineer, I built LLM + Knowledge Graph integrations for enterprise QA, improving response precision from near-zero to 70%+. Gold Medalist, B.Tech Electronics & CS — Mahindra University, graduated first in branch. Passionate about intelligent, agent-driven systems that solve real problems at scale

Location

Hyderabad

AI stack

claude code

claude

codex

github copilot

opencode

LiteLLM

Work experience

Software Development Engineer - 1 at JUSPAY, Jan 2026 - Present · 8 mos, Bengaluru, Karnataka, India

Associate Software Development Engineer at JUSPAY, Sep 2024 - Jun 2026 · 1 yr 10 mos, Bengaluru, Karnataka, India, ◦ Agentic AI Platform: Architected multi-agent workflows and conversational AI pipelines using LangChain and LangGraph, integrating LLMs (Claude/Anthropic, OpenAI, Azure OpenAI, Bedrock) for autonomous merchant analytics and decision-making; designed MCP (Model Context Protocol) server architecture exposing 43+ tools across Breeze, Shopify, Google, and Meta data sources — reducing manual reporting effort by 80% across 1,500+ merchants. ◦ Analytics Pipeline & Observability: Designed a Kafka-based ingestion service to resolve data inconsistencies, improving ClickHouse accuracy from 60% to 95%; built comprehensive observability using Prometheus metrics and Grafana dashboards with SLI/SLO definitions across all production services. ◦ Breeze Analytics Dashboard: Built full-stack analytics dashboard serving 1,500+ merchants with real-time checkout funnel metrics, UTM tracking, and payment performance analytics; owned end-to-end — from backend services to production deployment. ◦ Free Gift Engine: Designed a dynamic rule-based configuration system for auto-applying promotional gifts based on cart conditions; deployed to 100+ merchants in live checkout production. ◦ CI/CD & Deployment: Implemented containerised deployment workflows using Docker, Kubernetes, and Jenkins pipelines for automated testing and reliable production releases.

SDE Intern at JUSPAY, Mar 2024 - Aug 2024 · 6 mos, Bengaluru, Karnataka, India, ◦ Built the first phase of the Breeze Analytics dashboard, introducing checkout performance insights (e.g. UTM share, user funnel journey) and enabling 1,000+ merchants to make data-driven optimizations for the first time. ◦ Automated onboarding of merchants using Puppeteer, reducing the onboarding time by 90% and ensuring consistency by eliminating most manual errors. ◦ Developed real-time Alerting system for anomalies, enabling proactive detection of missing orders and payment issues, and improving platform reliability for merchants. ◦ Revamped the Breeze dashboard UI with a modular CSS framework, scaling it from an internal tool to a product used by 1,000+ merchants; resolved several P0 issues in the checkout, improving product stability and reliability.

Machine Learning Intern at Provakil, Jan 2024 - Mar 2024 · 3 mos, Pune District, Maharashtra, India

Research Engineer at Siemens, Jun 2023 - Sep 2023 · 4 mos, Bengaluru, Karnataka, India

Education

Bachelor of Technology, Electronics, Mahindra University

Intermediate/11th amd 12th grades, MPC, Sri saastra jr college

Public links

github: https://github.com/nirupamreddy2