🟢 Available for opportunities

Software
Engineer

8+ years building and scaling backend & distributed systems (Node.js, NestJS, TypeScript, Kafka, Redis). Currently SDE-3 at Aditya Birla Fashion and Retail Ltd (Aditya Birla Group), Bangalore 🇮🇳 — delivering fraud-prevention, payments, and AI-driven ad-intelligence platforms at scale.

📍 Bangalore, India📧 sindhuanurag2@gmail.com🎓 VTU Graduate

Live Project →Download Resume →Connect on LinkedIn →

Years Exp

SDE-3

Current Level

Agentic Systems

18%^*

Stock CAGR

anurag@dev ~ zsh

→whoami

name: Anurag Sindhu

role: SDE-3 @ ABFRL (ABG)

location: Bangalore, India 🇮🇳

exp: 8+ years

→skills --top

[0] Node.js / NestJS

[1] System Design

[2] MySQL / MongoDB / Redis

[3] Kafka / AWS / Agentic LLM

→status

open_to_work: true

remote_ok: true

→hire

Node.js

JavaScript

TypeScript

NestJS

Python

Kafka

MySQL

MongoDB

Redis

Agentic AI

AWS

GCP

Docker

AWS SQS

Jest

REST APIs

Microservices

System Design

API Gateway

MariaDB

Jenkins

Work History

One Mission,
Many Chapters

🛍️ Aditya Birla Fashion and Retail Ltd

SDE-3 · Node.js · Agentic AI

Mar 2023 — Present

▲ collapse

Lead a cross-channel AI ad intelligence platform, automating data ingestion from Meta and Google.
Built from scratch and scaled a low-latency microservices platform for order processing, integrating agentic LLM workflows with fault tolerance.
Engineered an OTP-based anti-fraud system using Redis and request throttling, preventing large-scale fraudulent requests.
Integrated AI-driven prompt engineering and LLM-powered workflows using agent orchestration into production products, improving automation and user engagement.

Node.jsKafkaRedisAgentic LLMAWSNestJSMicroservices

🏥 Medibuddy

SDE-3 · Performance · Distributed Systems

Oct 2022 — Jan 2023

▼ expand

Boosted system performance by 25% via SQL query tuning and code profiling with Neo4j/Node.js.
Optimized inventory system queries, improving speed by 60% using indexed views and query optimization.
Cut Google Maps API costs by 70% by implementing a write-ahead caching system using Redis and BullMQ.

Node.jsMySQLNeo4jRedisBullMQ

🏪 Falabella India

Software Engineer · APIs · Latency

Aug 2020 — Oct 2022

▼ expand

Delivered notification services with 99%+ availability using geo-distributed architecture with Node.js, AWS SNS/SQS.
Reduced API latency from 850ms to 510ms through improved query complexity and db tuning.
Migrated frontend logic to backend, optimizing 30+ complex queries using MySQL.
Collaborated with Flipkart, Myntra, and other third-party vendors for analytics integrations.

Node.jsAWS SNS/SQSMySQLREST APIs

🛡️ SpringWorks

Software Engineer · SpringVerify

Dec 2019 — Aug 2020

▼ expand

Built SpringVerify from scratch — a low-latency, high-availability background verification platform for mobile and web.
Partnered with vendors, including Flipkart and Razorpay, to integrate SpringVerify.
Migrated frontend dependencies to the backend, fine-tuning databases for significant performance gains.

Node.jsMySQLRazorpayREST APIs

💼 In Time Tec

Associate Software Engineer · Foundation Years

Feb 2018 — Dec 2019

▼ expand

Completed a 12-month Learn and Code program, delivering real-world JavaScript/Node.js projects.
Achieved 100% API test coverage with Jest, building a strong foundation in test-driven development.

JavaScriptNode.jsMySQLMongoDBJest

Technical Stack

Built for Scale,
Engineered for Speed

⚙️

Node.js / NestJS

High-throughput APIs, microservices, event-driven architectures. gRPC with Protocol Buffers for binary-efficient transport.

Primary Stack · 8+ years

🗄️

Databases

MySQL, MongoDB, MariaDB, Redis — optimized schemas, UUID PKs for IDOR prevention, large-scale query refactoring.

Data Layer

🤖

AI / LLM

Agentic LLM workflows, prompt engineering, agent orchestration, Gen AI feature integration into production products.

Applied AI

☁️

Cloud & DevOps

AWS, Oracle-CI, Containers, Jenkins, CI/CD pipelines. ESLint, Husky, Jest — 100% test coverage culture.

Infrastructure

🏗️

System Design

HLD/LLD documentation, distributed systems, Kafka message queues, API Gateway patterns, SOLID principles, MSA migrations at scale.

Architecture

🔌

APIs & Protocols

REST APIs, Kafka, message queues, SQS integrations. OAuth, auth-authz, session management.

Communication

Proficiency

JavaScript

Node.js

TypeScript

Python

MySQL

MongoDB

Kafka

System Design

Testing / Jest

REST APIs

Redis

Docker

Thought Leadership

Engineering Insights
from the Trenches

Writing 1 as an integer costs 1 byte (8 bits), but as binary it needs just 1 bit — an 8× reduction. Exactly why gRPC with Protocol Buffers crushes REST+JSON at scale. #gRPC

Always use UUIDs as primary keys in SQL to eliminate sequential ID enumeration. One architectural decision that prevents entire classes of IDOR attacks. #Security

Leaderless Replication achieves strong consistency via quorum-based reads and writes. When R + W > N, you guarantee overlap — no stale data sneaks through. #DistributedSystems

Bloom Filters eliminate unnecessary DB calls, trading just 1.13 MB of memory for a 1% false positive rate across 1 million records. A go-to trick for cutting DB load at scale. #Performance

UUID collisions are practically impossible — generating 1 billion UUIDs per second for 100 years only brings the duplicate probability to 50%. Ship with confidence. #Reliability

Personal Projects

Code That Pays
Dividends

Passion Project

📈 Stock Market Automation App

A custom Node.js application built from passion for the markets — automating buy/sell strategies, portfolio management, and real-time alerts. 23,000+ lines of code, 4 years in the making, currently managing 3 portfolios.

18%^*

CAGR over 4 Years

23K+

Lines of Code

1hr/wk

Time to Manage

💡 Systematic Buy on Dips

Auto-creates GTT/Trigger setups with dynamic dip % per share. Auto-increases quantity after a trigger fires. Maintains configured gap between current & trigger price.

💰 Smart Sell / Target Engine

Creates daily sell orders with user-defined or pre-defined % thresholds based on stock price. Handles intraday / STBT scenarios automatically.

📊 Movement Tracker

Monitors any stock up to 150 days of history. Sends WhatsApp alerts on target price or % hit. Lets you add personal notes per stock.

🤖 Full Automation

App starts when market opens, sleeps when it closes. Runs on autopilot — Zerodha-integrated buy, track, sell. Stack: MongoDB, MySQL, Redis, Node.js, React.js, AWS.

Across the Web