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Kartik Singh Thakur

$ full stack engineer · scalable systems · ai integrations

Building scalable backend systems, intuitive frontend experiences, and AI-powered workflows. 2.5+ years shipping production systems end-to-end with Go, Node.js, and React.

View ProjectsContact
uptime
2.5+
years exp
perf
30%
throughput ↑
scale
1000+
users served
scope
Full
stack delivery
01readme.md

About

I'm a Full Stack Engineer with 2.5+ years of experience building end-to-end products — from Go and Node.js backends to polished React and Next.js interfaces, backed by distributed systems thinking.

I work across the stack: designing scalable APIs and microservices, optimizing PostgreSQL and Redis layers, and shipping user-facing features that integrate cleanly with backend workflows. I also build production AI features using LangChain, LangGraph and MCP to connect LLMs to real systems.

I care about engineering depth — concurrency, latency budgets, fault tolerance — but I equally care about UX, component architecture, and shipping a complete product.

Full StackScalable SystemsAI IntegrationsMicroservicesReact / Next.js
  • BACKENDGo, Node.js, REST & gRPC services
  • FRONTENDReact, Next.js, React Native, Zustand
  • AI / LLMLangChain, LangGraph & MCP integrations
  • DATABASESPostgreSQL, MongoDB, Redis caching
  • DISTRIBUTEDMicroservices, queues & async workflows
  • FULL-STACKOwning features end-to-end in production
02stack.json

Technical Stack

Across backend, frontend, data, and AI — the tools I reach for in production.

Languages & Backend
lang/
  • Go (Golang)
  • Java
  • JavaScript (ES6+)
  • Node.js
  • Express.js
Frameworks & Protocols
proto/
  • gRPC
  • REST APIs
  • Fiber
  • Gin
  • Gorilla Mux
Databases & Caching
db/
  • PostgreSQL
  • Cassandra
  • ClickHouse
  • MongoDB
  • SQL
  • Redis
  • Query Optimization
Concurrency & Performance
perf/
  • Goroutines
  • Channels
  • Multithreading
  • Profiling
  • Optimization
Architecture & Infrastructure
arch/
  • Microservices
  • Distributed Systems
  • System Design
  • Kafka
  • MQTT
  • Docker
  • GCP
  • CI/CD
  • Linux
  • Nginx
Frontend Engineering
ui/
  • React.js
  • Next.js
  • React Native
  • TypeScript
  • Zustand
  • Redux Toolkit
  • React Hook Form
  • Zod
  • Tailwind CSS
AI & Integrations
ai/
  • LangChain
  • LangGraph
  • MCP
  • OpenAI APIs
  • Workflow Automation
  • RAG
Payments & Integrations
pay/
  • Stripe
  • Payment Gateways
  • Subscription Billing
  • Webhook Processing
  • Idempotency Handling
03services/

Selected Projects

End-to-end systems I've designed, built, and shipped — across backend, frontend, and AI.

svc_01
status: running

SpotBOI.ai

AI Social Media Automation Platform

+30%
throughput
↓ p95
latency
  • BackendScalable microservices in Go (Fiber) and Node.js with high-concurrency goroutine workflows.
  • FrontendBuilt user-facing features in React / Next.js, wiring APIs into product UI flows.
  • AIIntegrated AI pipelines for automated content generation and scheduling.
  • BackendIntegrated Stripe for subscription billing, payment gateways, and webhook processing with idempotency handling for safe retries.
  • System DesignAsync job processing, queueing, and rate-limited external API orchestration.
FULL STACKHIGH THROUGHPUTLOW LATENCY
GoFiberNode.jsNext.jsPostgreSQLRedisStripeAI
svc_02
status: running

NetworkON MCP

AI Orchestration Platform

Secure
client/server
Scalable
AI workflows
  • BackendSecure client–server communication layer with extensible tool boundaries.
  • AILangGraph + LangChain orchestration connecting LLMs to enterprise tools via MCP.
  • System DesignPluggable architecture for adding new tools, agents, and integrations.
  • FrontendIntegration UI surfaces for inspecting and triggering agent workflows.
AI ORCHESTRATIONMICROSERVICESSECURE
GoNode.jsLangChainLangGraphMCPgRPC
svc_03
status: running

Production Planning Automation

Enterprise data pipeline — Godrej

1000s
records/day
Reliable
throughput
  • BackendHigh-throughput data pipelines processing thousands of records daily.
  • System DesignReliability-first design with retries, idempotency, and observability.
DATA PIPELINEFAULT TOLERANT
GoPostgreSQLWorkersQueues
svc_04
status: running

Xamnation EdTech Platform

Scalable learning platform — 1000+ users

1000+
active users
+20%
engagement
  • FrontendReact-based UI with live classes and interactive learning modules.
  • BackendAPIs for content delivery, scheduling, and user progression.
  • System DesignEnd-to-end full-stack ownership across delivery and reliability.
FULL STACKREAL-TIME
ReactNode.jsMongoDBWebRTC
svc_05
status: running

Organic Chacha E-commerce

E-commerce app — React + React Native

Cross
platform
Optimized
performance
  • FrontendReact and React Native UI with Redux for predictable state management.
  • BackendAPIs for product catalogue and order workflows.
  • System DesignPerformance and stability improvements across the stack.
FULL STACKMOBILE
ReactReact NativeReduxGoNode.js
04architecture/

Engineering & System Design

From client UI to async workers and AI agents — the patterns I lean on to ship at scale.

request_lifecycle.go
flow diagram
React / Next.js
Client UI
→
API Gateway
Auth · Rate Limit
→
Go / Node Service
Goroutine Pool
↓
PostgreSQL · indexed
Redis · cache
Queue · async workers
LLM · LangGraph / MCP

Concurrency

PARALLEL

Goroutines & channels for parallel pipelines, worker pools, bounded fan-out/fan-in.

go func() { ch <- work() }()

API Design & Scaling

HIGH THROUGHPUT

REST + gRPC contracts, connection pooling, rate limiting, graceful backpressure.

rate.NewLimiter(1000, 200)

Caching Strategies

FAST READS

Redis cache-aside, TTLs, invalidation hooks, and hot-path memoization.

redis.SetEX(key, val, 60s)

Microservices

RESILIENT

Service boundaries, idempotency keys, eventual consistency, circuit breakers.

ctx, cancel := context.WithTimeout(...)

Async Workflows

ASYNC

Job queues, workers, retries with exponential backoff, dead-letter queues.

queue.Enqueue(job, retry: 5)

AI Orchestration

AI READY

LangGraph + MCP wiring LLMs to tools and APIs with secure, observable boundaries.

graph.AddNode("agent", llm)
05timeline.log

Experience

  1. 2026 — Presentcurrent

    Backend Engineer

    Intellicar Telematics

    Backend
    • Develop and maintain production backend services in Go for fleet management, vehicle telemetry, and data processing systems.
    • Build high-performance backend services using REST APIs, goroutines, channels, PostgreSQL, Cassandra and ClickHouse.
    Frontend
    • Collaborate cross-functionally to deliver API-driven features that power real-time fleet dashboards.
    System / Impact
    • Engineered high-performance concurrent systems using goroutines and channels, improving throughput by 30% and reducing API latency under load.
    • Work with distributed messaging and real-time communication systems using Kafka and MQTT.
    • Contribute to deployment and infrastructure automation using Docker, GCP, GitHub Actions, Nginx, and Linux.
  2. 2024 — 2026past

    Software Engineer

    Growth Natives

    Backend
    • Lead backend engineering for SpotBOI.ai — Go and Node.js microservices.
    • Designed high-concurrency workflows with goroutines, channels, and async jobs.
    • Owned PostgreSQL schema, indexing, and query optimization.
    Frontend
    • Shipped user-facing features in React / Next.js and integrated APIs into UI flows.
    • Built reusable components and form/state patterns with Zustand and React Hook Form.
    System / Impact
    • Improved system performance by ~30% through concurrency and caching tuning.
    • Integrated AWS, Stripe, Google Maps and AI pipelines (LangChain / MCP).
    • Mentored engineers and collaborated cross-functionally on product delivery.
  3. 2023past

    Full Stack Developer Intern

    Organic Chacha

    Frontend
    • Built e-commerce screens with React and React Native.
    • Implemented Redux for predictable state across cart, catalogue, and orders.
    Backend
    • Contributed APIs in Go for product and order workflows.
    System / Impact
    • Improved performance and stability across the full stack.
  4. 2022past

    Full Stack Developer Intern

    Xamnation

    Frontend
    • Built React UI for live classes and interactive learning modules.
    Backend
    • Developed APIs for content delivery and adaptive learning flows.
    System / Impact
    • Platform served 1000+ users with a ~20% increase in engagement.
06profile/

Problem Solving, Achievements & Education

DSA / Problem Solving

Strong foundation in Arrays, Trees, Graphs, Heaps, Dynamic Programming, Recursion, and Greedy. Active on LeetCode with focus on optimized, scalable solutions.

ArraysTreesGraphsHeapsDPRecursionGreedy
Achievements
  • Qualified GATE 2023 (Computer Science & Engineering)
GATE 2023CSE
Education

Bachelor of Engineering — CSE

Panjab University

2020 — 2024

07connect/

Let's build something solid.

Open to backend-heavy and full-stack roles where engineering depth matters.

Email
kartikthakur2653@gmail.com
LinkedIn
kartik-singh-thakur
LeetCode
leetcode.com/u/Kartik