Headline

Backend Engineer | AI integrations | AI Engineering | Agentic AI | Distributed Systems | Python | Java

About

I am a Software Engineer with over 8 years of experience building highly resilient distributed systems, specializing in the intersection of massive-scale backend architecture and production-grade Artificial Intelligence. My foundation is in engineering fault-tolerant, event-driven microservices for the fintech and e-commerce sectors, currently orchestrating platforms capable of handling 15+ million daily transactions with 99.99% availability. Building on this, my recent focus has expanded deep into AI Engineering. I have architected and deployed advanced autonomous AI agents and Retrieval-Augmented Generation (RAG) applications into production. I don't just build proof-of-concept AI; I engineer scalable, agentic workflows using frameworks like LangGraph and CrewAI, backed by robust vector databases (like pgvector). I specialize in bridging the gap between intelligent search retrieval, and high-throughput backend services—ensuring AI features are fast, reliable, and deeply integrated into core platforms. Currently, I balance hands-on architecture with engineering management. I am passionate about mentoring teams, facilitating agile delivery, and enforcing strict code quality standards to ensure we build intelligent software that is both highly scalable and maintainable. What I do best Deep expertise in advanced search retrieval, LangGraph/LangChain orchestration, and multi-agent workflows. Utilizes a strong foundation in backendn engineering , LLM integrations(OpenAI, Gemini,Anthropic) and Generative AI to deliver robust, high-throughput software. AI Engineering & Agentic Systems: Designing and deploying scalable RAG pipelines, semantic search retrieval systems, and autonomous AI agents in production environments. System Architecture: Designing event-driven microservices, distributed ledgers, and high-throughput batch processing systems. AI & Machine Learning: Applied LLMs, Retrieval-Augmented Generation (RAG), Agentic Workflows (LangGraph, LangSmith), Google Vertex AI, Vector Databases (pgvector), Core ML Algorithms. Languages: Java 17, Python, Go, SQL. Frameworks & Architecture: Spring Boot 3, FastAPI, Spring Data JPA, Hibernate, Hexagonal Architecture, Microservices. Cloud & Infrastructure: AWS (EC2, SQS, SNS, Batch), GCP (Pub/Sub, Cloud Storage), Docker, Kubernetes. Data & Processing: PostgreSQL, MongoDB, Redis, Kafka, Spring Batch, Distributed Ledgers. Quality & CI/CD: JUnit 5, Mockito, SonarQube, GitHub Actions, Datadog.

Location

Bengaluru

AI stack

anthropic apis

claude code

claude

cursor

langchain

langgraph

Work experience

Software Engineer at Wayfair, Jul 2023 - Present · 3 yrs 4 mos, Bengaluru, Karnataka, India, • Led end-to-end architecture and launch of Wayfair’s core Loyalty Membership platform (Prime Membership), scaling the ecosystem to 1M+ active users and handling 15M+ daily transactional workloads. • Architected resilient multi-agent workflows for gift card hyper-personalization utilizing LangChain and LangGraph for complex state management, ensuring highly targeted LLM messaging and design generation. • Designed and implemented an automated AI evaluation framework using MLflow, establishing a curated golden dataset to benchmark multi-agent and search retrieval performance. Architected scoring mechanisms to proactively detect workflow drift and quantify hallucination rates prior to production deployment. • Engineered a production-grade RAG-based search retrieval system for pagerduty operations using pgvector and hybrid search (BM25 + dense embeddings) to automatically surface contextual first-step actions to on-call engineers. • Implemented comprehensive harness engineering across owned microservices, heavily optimizing infrastructure to significantly reduce development task token costs. • Designed high-throughput, event-driven reward and cashback calculation engines using GCP Pub/Sub, reducing monolith coupling by 70% via a migration to clean Hexagonal Architecture. • Engineered fault-tolerant, cloud-native microservices with 99.99% availability, implementing advanced circuit breakers, retry strategies, and fallbacks that slashed downstream dependency failures by 65%

Software Development Engineer - III at ZestMoney, May 2022 - Aug 2025 · 3 yrs 4 mos, Designing and developing large-scale, multi-tiered, distributed software applications for minimizing risk Creating Automated Testing Frameworks Configuring alerts on Datadog and Sumologic for application failures and error fast paced agile/scrum development Developing Event Driven Architechture Working with different databases and distributed messaging systems

Software Development Engineer - II (Risk Tech) at ZestMoney, Aug 2021 - May 2022 · 10 mos, Bangalore Urban, Karnataka, India, - Designing and developing large-scale, multi-tiered, distributed software applications for risk tech -Implementing Proactive and Reactive Credit Limit Increase/Decrease Strategies to Minimize risk and increase lending - Transforming Insights from Data Science teams (Risk) into services and automatic checks - Creating and monitoring fault-tolerant adaptive API's and financial services for handling financial risk -Making use of existing AWS service for designing Async services using SNS, SQS, EC2, and ECS -Participating in code reviews and design discussions -Working closely with the DevOps team for Infra issues and troubleshooting

Software Engineering-Engineer I at FICO, Aug 2020 - Dec 2021 · 1 yr 5 mos, Bengaluru South, Karnataka, India, -Developing FAC portal for Fico Products (Analogous to AWS Console for AWS Products) -Designing APIs and backend server-side services using Java, Spring Boot, and SAML SSO configurations. -Building RESTful APIs with monitoring, fault tolerance, and metrics. -Linux, and Web application development/debugging -Maintaining event server and handling events for Asynchronous event processing using queues -Integrating third-party APIs and services like AppDirect and Okta -Providing security fixes to the vulenrabilities that come us against the internal security scan.

Solution Integration Consultant at FICO, Sep 2018 - Aug 2020 · 2 yrs, Banglore, - Developing REstFul Services and implementing API. - Developing a solution using Spring boot/Java J2EE and FICO's platform - Deploying the solution in the form of Web service/Cloud solution on AWS/FICO analytics cloud. - Implementing Integration/Orchestration layer for the service using J2EE and microservices(Restful services) using Spring. - Developing end to end solution for the client right from requirements capturing to deployment using Blaze. - Integrating Messaging/Streaming modules into the service. - Undertaking client meeting and developing a sense of trust between the parties

Assistant System Engineer at Tata Consultancy Services, Aug 2017 - Aug 2018 · 1 yr 1 mo, Greater Delhi Area, Java Developer for TCS in the Banking and Finance domain (BFS) of the organization. Worked as a backend engineer for Deutsche Bank in credit score and application processing workflow. Implementing the business logic on the Spring/J2ee platform in the form of Rest/Soap web services. Implementing JMS queues for consumer and producer architecture.

Education

Bachelor of Engineering - BE, Information Technology, Gujarat Technological University (GTU)

CBSE, Primary, Secondary and Higher Secondary, kendriya vidyalaya