๐ŸŸข Available for opportunities

Senior
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 ๐Ÿ‡ฎ๐Ÿ‡ณ โ€” delivering fraud-prevention, payments, and AI-driven ad-intelligence platforms at scale.

๐Ÿ“ Bangalore, India๐Ÿ“ง sindhuanurag2@gmail.com๐ŸŽ“ VTU Graduate
8+
Years Exp
SDE-3
Current Level
5
Companies
32%
Stock CAGR
anurag@tmrw ~ zsh
โ†’whoami
name: Anurag Sindhu
role: SDE-3 @ ABFRL (ABG)
location: Bangalore, India ๐Ÿ‡ฎ๐Ÿ‡ณ
exp: 8+ years

โ†’skills --top
[0] Node.js / NestJS
[1] System Design
[2] MySQL / MongoDB / Redis
[3] Kafka / AWS / Agentic LLM

โ†’status
open_to_work: true
remote_ok: true

โ†’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

5 Companies,
1 Mission

๐Ÿ›๏ธ Aditya Birla Fashion and Retail Ltd
SDE-3 ยท Node.js ยท Agentic AI
Mar 2023 โ€” Present
โ–ฒ collapse
  • Lead a cross-channel AI ad intelligence platform for 8 brands, automating data ingestion from Meta and Google.
  • Built from scratch and scaled a low-latency microservices platform to 25k daily orders across 6 brands, integrating agentic LLM workflows with fault tolerance.
  • Engineered an OTP-based anti-fraud system achieving 1s response time and handling 100K+ daily authentication requests using Redis and request throttling, preventing large-scale fraudulent requests.
  • Integrated AI-driven, prompt engineering and LLM-powered workflows using agent orchestration into 4+ production products, improving automation and user engagement.
Node.jsKafkaRedisAgentic LLMAWSNestJSMicroservices
๐Ÿฅ Medibuddy
SDE-3 ยท Performance ยท Distributed Systems
Oct 2022 โ€” Jan 2023
โ–ผ 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
๐Ÿช Falabella India
Software Engineer ยท APIs ยท Latency
Aug 2020 โ€” Oct 2022
โ–ผ 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
๐Ÿ›ก๏ธ SpringWorks
Software Engineer ยท SpringVerify
Dec 2019 โ€” Aug 2020
โ–ผ expand
  • Built SpringVerify from scratch โ€” 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
๐Ÿ’ผ In Time Tec
Associate Software Engineer ยท Foundation Years
Feb 2018 โ€” Dec 2019
โ–ผ 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

โš™๏ธ
Node.js / NestJS
High-throughput APIs, microservices, event-driven architectures. gRPC with Protocol Buffers for binary-efficient transport.
Primary Stack ยท 8+ years
๐Ÿ—„๏ธ
Databases
MySQL, MongoDB, MariaDB, Redis โ€” optimized schemas, UUID PKs for IDOR prevention, large-scale query refactoring.
Data Layer
๐Ÿค–
AI / LLM
Agentic LLM workflows, prompt engineering, agent orchestration, Gen AI feature integration into production products.
Applied AI
โ˜๏ธ
Cloud & DevOps
AWS, Oracle-CI, Containers, Jenkins, CI/CD pipelines. ESLint, Husky, Jest โ€” 100% test coverage culture.
Infrastructure
๐Ÿ—๏ธ
System Design
HLD/LLD documentation, distributed systems, Kafka message queues, API Gateway patterns, SOLID principles, MSA migrations at scale.
Architecture
๐Ÿ”Œ
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

01
Writing 1 as an integer costs 1 byte (8 bits), but as binary it needs just 1 bit โ€” an 8ร— reduction. Exactly why gRPC with Protocol Buffers crushes REST+JSON at scale. #gRPC
02
Always use UUIDs as primary keys in SQL to eliminate sequential ID enumeration. One architectural decision that prevents entire classes of IDOR attacks. #Security
03
Leaderless Replication achieves strong consistency via quorum-based reads and writes. When R + W > N, you guarantee overlap โ€” no stale data sneaks through. #DistributedSystems
04
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
05
UUID collisions are practically impossible โ€” 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
๐Ÿ“ˆ Stock Market Automation App

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

32%
CAGR over 4 Years
23K+
Lines of Code
1hr/wk
Time to Manage
๐Ÿ’ก 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.
๐Ÿ’ฐ Smart Sell / Target Engine
Creates daily sell orders with user-defined or pre-defined % thresholds based on stock price. Handles intraday / STBT scenarios automatically.
๐Ÿ“Š 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.
๐Ÿค– Full Automation
App starts when market opens, sleeps when it closes. Runs on autopilot โ€” Zerodha-integrated buy, track, sell. Stack: MongoDB, MySQL, Redis, Node.js, React.js, AWS.

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