Backend engineer focused on distributed systems, Kubernetes, and AWS.
I build search infrastructure and microservices that handle real-scale traffic.
I'm a backend engineer at JPMorgan Chase working on distributed systems and search infrastructure. My focus is on building services that are fast, reliable, and maintainable at scale—currently serving 18M+ users.
I specialize in designing scalable backend architectures, ETL pipelines, and cloud-native services. I've reduced data latency by 5× through concurrency strategies and built context-aware personalization systems for AI agents and chatbots.
I value clarity over cleverness, and I'd rather ship something that works reliably than something impressive that breaks under load.
Designed and built high-performance backend services and REST APIs using Python (Flask, FastAPI) and Java (Spring Boot), supporting real-time data access for systems serving 18M+ users.
Built scalable backend architectures for ETL pipelines using AWS Lambda, S3, and OpenSearch. Reduced latency by 5× (25 min → 5 min) using concurrency and parallel processing.
Developed backend service to process user-session signals and maintain conversational memory for response personalization used by Agents and Chatbots.
Optimized backend performance through intelligent batching, parallel execution, and query tuning. Designed systems with cache-friendly access patterns.
Deployed services in Dockerized, Kubernetes-based environments (EKS) with autoscaling using HPA. Managed infrastructure using Infrastructure as Code.
Implemented monitoring with Splunk, Datadog, and Dynatrace. Performed chaos testing with Gremlin to validate system resilience.
Backend service dependency map — hover a hub to trace connections, drag to rearrange.
A showcase of featured work and pinned repositories.
A web application to improve learning of students right after taking any online class or course. Generates 4 different question types: MCQ, Paraphrase, Boolean, and FAQ.
Selected as mentee from 20,000+ applicants
Built QuesGen • 300+ teams • ₹20,000
QuesGen selected as top project • 500+ teams • ₹30,000
Recognized for QuesGen • 1,000+ teams • ₹50,000
Bachelor of Engineering – Computer Science
I'm always interested in hearing about new opportunities, interesting projects, or just having a chat about distributed systems.
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