leads processed yearly
Owned a reactive lead-consumer service with ten-second-or-better processing latency.
Measured outcomeBackend engineer · Distributed systems · Agentic AI
I build backend systems that stay reliable when the scale—and the stakes—grow.
Software Development Engineer II at Amazon · Bengaluru, India
Software Engineer II with about three years of experience designing high-throughput distributed systems with Java, Kotlin, Kafka, Flink, and AWS, alongside agentic AI solutions that automate operational work.
01 / Selected impact
Scale expressed as outcomes.
A selection of measurable and initiative-level results from production systems and engineering programs.
form conversion lift
Built real-time Flink validation and deduplication pipelines supporting higher-quality lead data.
Initiative-level outcomeinternational arcs
Designed scalable cross-border offer-mapping configurations and document ingestion architecture.
Initiative-level outcomecandidates supported
Led reliability, monitoring, performance testing, and risk-analysis improvements for hiring systems.
Initiative-level outcome 02 / Experience
Systems ownership from design to operation.
Backend architecture, event streaming, platform modernization, and operational excellence across Amazon and Intuit.
Software Development Engineer II · Amazon
Building cross-border pricing and compliance systems, with an emphasis on configurable architecture, operational reliability, and platform modernization.
- Spearheaded the Global Store Competitive Match Pricing launch from the UK to Ireland, engineering the organization’s first configurable price floor for external competitor-price matching.
- Led a compliance initiative in the CP Precompute system, shaping data-deletion architecture across DynamoDB and AWS Glue while rapidly onboarding to the domain.
- Improved CrossBorderCPCalculator reliability and observability by investigating OOM and heap anomalies, integrating JFR profiling, and driving JDK 21, Kotlin 2.x, and Gradle 8.x migrations.
Software Development Engineer II · Intuit
Led operational-excellence and platform initiatives for hiring systems while guiding a seven-engineer team through reliability and architecture improvements.
- Led seven engineers in implementing Wavefront golden-signal monitoring, Gatling performance testing, and FMEA risk analysis for systems supporting more than 50,000 candidates.
- Spearheaded a self-serve rehire system using hexagonal architecture and GraphQL, creating reusable adapters intended to reduce integration effort and target a 50% reduction in hiring costs.
- Improved delivery security and speed through Docker/Jenkins CI/CD optimization, vulnerability remediation, and Renovate-based dependency automation.
Software Development Engineer I · Intuit
Owned event-driven lead-processing services and stream pipelines for a major hiring initiative, establishing reusable architecture and testing patterns.
- Architected and owned a reactive Kafka lead-consumer service processing more than 1.4 million leads per year with ten-second-or-better latency for a $22M initiative; the architecture was recognized internally as a gold standard.
- Implemented real-time Apache Flink pipelines for validation and deduplication, supporting high-quality data and a 14% form-conversion increase.
- Created a parallel Karate testing framework adopted across services to improve reliability and reduce execution time.
03 / Capabilities
A backend toolkit organized around problems.
Technologies matter most when they support understandable architecture, reliable delivery, and observable production systems.
Languages & APIs
Production languages and interface technologies used to build backend services.
- Java 11+
- Kotlin
- Python
- SQL / Postgres
- JavaScript
- GraphQL
Distributed & event-driven systems
Patterns and platforms for high-throughput asynchronous processing.
- Kafka
- Apache Flink
- Project Reactor
- Microservices
- Stream processing
- Event-driven architecture
Backend platforms
Frameworks and workflow technologies used across service and business-logic layers.
- Spring Boot
- DGS Framework
- Drools
- Camunda BPM
- Hexagonal architecture
- API design
Cloud & delivery
Infrastructure and delivery systems supporting reliable production operation.
- AWS
- DynamoDB
- Glue
- S3
- ECS
- SQS
- Kubernetes
- Docker
- Jenkins
- CI/CD
Reliability & quality
Operational practices for understanding, testing, and improving live systems.
- Observability
- JFR profiling
- Splunk
- Wavefront
- JUnit
- Karate
- Gatling
- FMEA
Applied AI
Grounded assistants and agents designed around practical operational workflows.
- GenAI
- Agentic AI
- LangChain
- Retrieval
- Vector databases
- Knowledge synthesis
04 / Selected projects
Applied AI built around real workflows.
Agents and automation prototypes focused on reducing operational friction and making institutional knowledge easier to use.
Aug 2025 — Present
Ticketing Analysis Agent
A GenAI agent that investigates operational ticket patterns and turns fragmented service knowledge into useful transition artifacts.
Read case study Apr 2025Agentic Hiring Bot
An agentic bot that helps recruiters and candidates understand hiring processes and reduces dependence on human support.
Read case study Oct 2023Phone Screen Automation Prototype
A rapid engineering prototype exploring how a knowledge engine could streamline the initial hiring-screen stage.
Read case study 05 / Foundation
Education and recognition.
Indraprastha Institute of Information Technology Delhi
Bachelor of Technology in Computer Science and Applied Mathematics
GPA 8.67 / 10.0
- 10+ Intuit Spotlight recognitions spanning customer obsession, technical innovation, courage, and collaboration.
- Third-place finalist at Hackanoodle by Zomato (2022), a national e-commerce hackathon.
06 / Writing
Notes from the network console.
Open to thoughtful backend and platform opportunities
Have a backend problem worth thinking deeply about?
Ask the portfolio agent for context, or reach out directly for a human conversation.