About
Results-driven Backend Engineer with 3+ years of experience in designing and scaling high-throughput, fault-tolerant distributed systems. Proven expertise in microservices architecture, AWS cloud infrastructure, and performance optimization, consistently delivering solutions that achieve 99.95% service availability and increase data throughput by up to 35%. Adept at leveraging Python, Go, and Java to build robust, scalable backend services and enhance developer productivity.
Work
Remote, Remote, US
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Summary
Developed automated instrumentation solutions for mobile devices, boosting testing efficiency and ensuring reliable automation across diverse platforms.
Highlights
Developed automated instrumentation solutions for mobile devices using Python and Go, boosting testing efficiency by 15% and ensuring reliable automation across diverse platforms.
Utilized reverse engineering tools (Hopper, IDA Pro, Ghidra) to unlock advanced device automation capabilities, enabling support for 5+ proprietary ecosystems within 2 months.
Bangalore, Karnataka, India
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Summary
Led the redesign and scaling of core backend systems and platform services, significantly enhancing operational efficiency and developer productivity.
Highlights
Redesigned and scaled core backend systems, including a 13k+ LOC Inventory Service, handling 10K+ operations in less than 300ms with minimal bugs.
Built key platform services, such as Hermes, reducing setup from hours to minutes, alongside async task processing and REST APIs, resulting in less than 3 reported bugs.
Enhanced reliability and developer productivity by implementing robust monitoring/logging pipelines, Docker debugger, and 7+ critical technical documentation.
Bangalore, Karnataka, India
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Summary
Architected and implemented critical backend services and event processing systems, dramatically improving system availability, throughput, and developer efficiency for a YC21-backed startup.
Highlights
Architected and implemented the Generic Compiler Service, a fault-tolerant microservices-based pipeline leveraging AWS (SQS, S3, ECS), MongoDB, and Docker, achieving 99.95% service availability while processing millions of messages monthly and reducing manual reprocessing efforts by 40%.
Designed high-throughput event processing systems utilizing AWS ECS, EventBridge, and CloudWatch, implementing efficient data partitioning and caching strategies that handled 150+ million events monthly with 99.9% uptime and reduced p95 latency by 20% during peak loads.
Engineered reusable frameworks and domain-driven microservices, cutting development time for new features to 3 hours, enabling independent scaling of critical components, and reducing infrastructure maintenance costs by 15%.
Recognized as Engineer of the Quarter for implementing backend performance optimizations that increased data throughput by 35%, streamlining distributed systems through innovative microservice architecture and resolving over 50 critical production issues.
Awards
AWS DeepRacer Student League - Top 100 Rank
Awarded By
AWS
Awarded $50 in AWS DeepRacer Student League for finishing under 100 rank globally, applying reinforcement learning algorithms and optimization techniques relevant to backend system performance.
Skills
Backend Technologies
Python, Golang, Java, FastAPI, Django, RESTful APIs, Microservices.
Infrastructure & DevOps
AWS (SQS, S3, ECS, EventBridge), Docker, CI/CD, Kubernetes, Jenkins.
Databases & Data Storage
MongoDB, PostgreSQL, Redis, Data Partitioning, Caching.
System Design
Distributed Systems, Event-Driven Architecture, Fault Tolerance, High Availability.
Tools & Practices
Git, GitHub, Jira, Performance Optimization, Load Testing.
Data Engineering
PySpark, Hadoop, Data Pipelines, ETL Processes.