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Currently at Fynd

Backend Engineer
Origin

Curiosity First

2000 — 2018

Growing up with a relentless curiosity for how things work. The first time I encountered a computer, I didn't just want to use it — I wanted to understand it, break it, and rebuild it. That impulse became a career.

  • First encounter with computers sparked a lifelong obsession
  • Developed early intuition for systems and patterns
  • Asked "how does this work?" about everything
05 · Amazon2023 — 2024

Planet-Scale Systems

Distributed systems at a scale most engineers never encounter. Millions of events per second. Sub-100ms latency requirements. Zero tolerance for downtime. This is where backend engineering becomes infrastructure at the edge of reliability.

0M+

Events / day

0.9%

Uptime SLA

<0ms

P99 target

Architecture· Production topology
API GatewayINGESTKafka BusSTREAMLambdaCONSUMERLambdaPRODUCERS3 StorageOBJECT STOREDynamoDBCATALOGBatchBULK OPSKubernetesORCHESTRATE

What I Built

Event-driven architecture

Kafka at the core of every pipeline

Multi-region redundancy

AWS global infrastructure

Auto-scaling workers

Kubernetes orchestration

Zero-downtime deployments

Blue-green with canary releases

The Stack

Compute
JavaSpring BootAWS Lambda
Streaming
Apache KafkaKinesis
Storage
DynamoDBS3ElastiCache
Platform
KubernetesDockerTerraform
Observ.
CloudWatchX-RayPagerDuty

The hardest part wasn't writing the code. It was designing for failure modes you've never seen — at a scale where a 0.001% error rate means thousands of failed requests per second.

06 · Fynd2024 — Present

Commerce Infrastructure

The order lifecycle engine powering thousands of fashion brands at India scale. Event-driven, fault-tolerant, and built to handle the unpredictability of real commerce.

0K+

Orders / day

0+

Brands

0.9%

Uptime SLA

Order Journey · live simulation

Blue Floral Midi Dress · M

ORDER #FY-45678

₹2,499

Order Placed

Customer View

Order Placed

Confirmed

Shipped

Out for Delivery

Delivered

Backend Events

ORDER_CREATED

14:22:00.001

orders

PAYMENT_CONFIRMED

14:22:01.456

payment

ORDER_DISPATCHED

14:26:18.234

warehouse

OUT_FOR_DELIVERY

14:27:00.789

delivery

ORDER_DELIVERED

15:08:42.001

orders

Order State Machine

CREATEDCONFIRMEDPROCESSINGSHIPPEDDELIVEREDCANCELLEDRETURN REQREFUNDEDHappy pathError / return
kafka-consumer
CONSUMING
14:22:00.001ordersORDER_CREATED#FY-45681
14:22:01.456paymentPAYMENT_CONFIRMED#FY-45681
14:22:01.789inventorySTOCK_RESERVED#FY-45681
14:22:02.001ordersORDER_CONFIRMED#FY-45681
14:22:02.890ordersORDER_CREATED#FY-45682
14:22:03.124paymentPAYMENT_CONFIRMED#FY-45682

Bundle Management

INDIVIDUAL

Silk Blouse

1,299

BL-001

Palazzo Pants

1,599

PT-044

Leather Tote Bag

2,199

BG-112

Individual

5,097

Bundle Deal

4,299

Inventory Heatmap

In Stock
Low Stock
Out of Stock
XS
S
M
L
XL
XXL
Noir
Ivory
Navy
Rust
Sage
30 SKUs · 5 colorways · 6 sizes · Live sync

Offline Sync

POS Terminal
ONLINE

All synced ✓

What I Built

Order management engine

Full lifecycle from placement to delivery

Kafka event pipeline

Real-time order state propagation

Returns & refund processing

Automated reverse logistics flow

Offline-capable POS sync

Queue-and-replay for unstable connections

Bundle pricing engine

Dynamic bundle creation and discount logic

The Stack

Core
JavaSpring BootSpring Batch
Streaming
Apache KafkaKafka Streams
Storage
PostgreSQLRedisElasticsearch
Platform
DockerKubernetesAWS
Search
ElasticsearchKibana

Commerce isn't just transactions — it's trust. Every order state transition, every inventory reservation, every return processed is a promise kept to a real customer waiting for their delivery.

07 · AI2024 — Present

AI Orchestration

Building intelligent systems where LLMs, RAG pipelines, and autonomous agents work in concert. Production AI isn't about the model — it's about the infrastructure that routes queries, retrieves context, and makes decisions at scale.

System Architecture

📝User QueryINPUT🔀Router/MCPORCHESTRATE🔍RAG EngineRETRIEVE📊Vector DBSTORE🧠LLM InferenceGENERATE🤖AgentDECIDEOutputRESULT

0K

Tokens/sec

0%

Accuracy

<0ms

P99 latency

Core Systems

LLM Routing

Multi-model inference with cost/latency optimization

RAG Engine

Semantic search + context assembly from vector DB

Agent Framework

Autonomous decision-making with tool access

Prompt Management

Versioned prompts with A/B testing support

The Stack

Models
GPT-4ClaudeLocal LLMs
Framework
LangChainLlamaIndex
Vector DB
PineconeWeaviateFAISS
Platform
PythonFastAPIKubernetes

The future of backend engineering is AI. Not because models are smart, but because orchestrating them well is harder than training them.

Projects & Impact

Explore the systems I've built that power production workloads. Click to dive deep into architecture, challenges, and impact.

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Professional Experience

Full-stack backend engineer with expertise in distributed systems, microservices architecture, and high-throughput data pipelines. Proven track record of building scalable solutions at companies ranging from early-stage startups to planetary-scale enterprises. Specialized in designing systems that balance performance, reliability, and operational simplicity.

Technical Skills

Languages

JavaPythonTypeScriptGoSQLBash

Frameworks & Libraries

Spring BootFastAPIKafkaReactNext.jsNode.js

Databases & Storage

PostgreSQLMySQLDynamoDBMongoDBElasticSearchRedis

Messaging & Caching

KafkaRabbitMQRedisMemcachedMessage Queues

Cloud & DevOps

AWS (EC2, S3, RDS, DynamoDB)KubernetesDockerTerraformCloudFormationJenkins

Monitoring & Logging

PrometheusGrafanaELK StackCloudWatchDataDogNew Relic

Concepts & Methodologies

System DesignMicroservices ArchitectureDistributed SystemsAPI DesignDatabase OptimizationPerformance TuningHigh AvailabilityAgile/Scrum

Education

Lakshmi Narain College of Technology and Science

Bachelor of Technology (B.Tech)

2018 - 2022CGPA: 7.9 / 10.0Indore, India