Ashutosh
Ashutosh Sharma · Backend Engineer

Building Systems
That Scale.

4+ years of experience designing APIs, optimizing performance, and building reliable backend systems using Node.js, PostgreSQL, Redis, Docker, and AWS

4+
Years Experience
10+
Production Backends
Always
Performance Mindset

Engineering Expertise

Backend Architecture

Designing decoupled, event-driven services capable of handling massive burst traffic. Prioritizing strict API contracts, clear domain boundaries, and horizontal scalability.

Data & Storage

Mapping storage engines to access patterns. Leveraging PostgreSQL for ACID workflows, Redis for look-aside caching and rate limiting, and optimizing index utilization for read-heavy operations.

Scalability & Performance

Identifying bottlenecks via profiling and tracing. Reducing P99 latency through multi-layer caching, database connection pooling, and offloading heavyweight tasks to asynchronous workers.

Reliability & Resilience

Architecting systems expecting total failure. Implementing circuit breakers, exponential backoff, dead-letter queues, and strict API idempotency keys to guarantee stability under duress.

Distributed Systems & Messaging

Designing async topologies utilizing message brokers like Kafka and SQS to decouple intensive workloads, orchestrate background processing, and ensure fault-tolerant event processing.

DevOps & Containerization

Deploying immutable infrastructure utilizing Docker and robust CI/CD pipelines. Ensuring strict environment consistency, process isolation, and zero-downtime scalability.

AI & Modern Backend Systems

Integrating LLMs and RAG architectures into high-throughput backends. Focused on orchestrating agent-driven workflows logically while monitoring latency profiles and security boundaries.

Engineering Impact

Reduced P99 Latency by ~25%

Optimized backend responses utilizing aggressive Redis look-aside caching, connection pooling, and multi-tier response shaping.

Optimized High-Stakes Access Patterns

Alleviated main-DB pressure by implementing strategic indexing, query plan tuning, and segregating read/write paths.

Architected for Fault Tolerance

Designed systems anticipating total service degradation, employing strict circuit breakers, exponential backoffs, and automated failovers.

Scaled High-Throughput Pipelines

Engineered strict API contracts and async data handlers capable of digesting massive concurrency spikes without dropping payloads.

Enforced Production Observability

Integrated distributed tracing and structured logging contexts to proactively pinpoint system bottlenecks before they triggered P0 incidents.

Hardened Payment Topologies

Engineered critical transactional boundaries with absolute strict idempotency, safe API retries, and cross-service state consistency.

How I Think About Systems

Database Selection Strategy

Choosing the right database based on access patterns and system requirements.

Caching & Performance

Reducing latency and database load using effective caching strategies.

API Design & Reliability

Designing APIs that remain stable, predictable, and scalable under load.

Async Processing & Queues

Improving system performance by offloading heavy tasks asynchronously.

Failure Handling & Resilience

Designing systems that continue to function even when parts fail.

Trade-offs & System Thinking

Every design decision involves trade-offs between performance, cost, and complexity.

Technical Arsenal

Backend Architecture

Designing strict API contracts and decoupled domain boundaries for high-throughput traffic.

Node.js
Express
Fastify

Storage & State

Aligning persistence engines to strict access patterns, ACID guarantees, and caching topologies.

PostgreSQL
MySQL
MongoDB
Redis

Async & Event-Driven

Decoupling monolithic chokepoints via message brokers to enforce fault-tolerant background processing.

Kafka
BullMQ
RabbitMQ
SQS

Infrastructure & CI/CD

Provisioning immutable containerized environments to ensure zero-downtime deployments and isolated scalability.

Docker
Docker Compose
CI/CD
Container Networking

Applied AI Integration

Orchestrating agentic workflows and RAG pipelines while tightly monitoring token limits and latency overhead.

LLMs
RAG
Agents

Professional Experience

Driving backend reliability and architectural decisions in production. From mitigating P0 incidents and optimizing tail latency, to scaling high-throughput pipelines and resilient payment topologies.

View Full Experience