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Faraz Ahmad

I'm a Senior Software Engineer

Senior Software Engineer crafting high-performance systems at Samsung (Invictus). Specializing in microservices, cloud architecture, and scalable backends that power real business impact.

4+ Years Exp
40% Perf Boost
25% Cost Reduced
250+ LeetCode Solved
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About Me

Faraz Ahmad
Bengaluru, Karnataka
Invictus (Samsung)
B.Tech Software Eng — CGPA 8.8
fa6879@gmail.com

Hello, I'm Faraz! 👋

I'm a Senior Software Engineer at Invictus (Samsung) with 4+ years of experience building enterprise-grade systems. I specialize in microservices architecture, cloud-native development, and performance engineering.

My expertise spans the full backend stack — from crafting high-performance caching layers with Featurebase DB achieving 40% query improvements, to migrating Apache Airflow DAGs from AWS to GCP yielding 25% cost reduction.

Beyond code, I'm a competitive programmer with a 4-star CodeChef rating (max 1936) and Institute Rank 1. I hold certifications from IIT Kharagpur in Deep Learning Specialization.

Microservices Expert
Cloud Native (AWS & GCP)
Performance Engineering
CI/CD Automation
ML & Deep Learning
Competitive Programmer

Tech Stack

Languages

Java
Python
JS
TypeScript
HTML5
CSS3

Frameworks

Spring
React
Node.js
Express Express
TensorFlow
Selenium

Cloud & DevOps

AWS
GCP
Docker
Kubernetes
Jenkins
Git

Databases

MySQL
PostgreSQL
MongoDB
Snowflake Snowflake
Redis
BigQuery BigQuery

Work Experience

Software Engineer

CommerceIQ
Aug 2022 – Dec 2023 Bengaluru, KA
AWS Lambda Spring Boot Node.js MySQL SNS Step Functions Selenium Snowflake Amazon RDS
  • 24h → 2h lag Engineered real-time data synchronization workflow using AWS Lambda, Spring Boot microservices, SNS, and Step Functions.
  • 3 clients/sec Built automated report generation service with Node.js, MySQL, and Handlebars with Mailchimp & Jenkins automation.
  • 70% less overhead Implemented SLA tracking microservice using Spring Boot, AWS SQS and Lambda with Amazon RDS storage.
  • 90% time reduction Automated daily report processing using Selenium, reducing download/backfill operations from 1 hour to 45 seconds.
  • 50% faster scraping Optimized Amazon Vendor Central data scraping via multi-threading for concurrent data retrieval.

Featured Projects

ML / Computer Vision

Sign Language Detector

Real-time Indian Sign Language recognition system achieving 93.39% accuracy using CNNs with Keras/TensorFlow. Custom dataset of 1,500+ images with Gaussian blur preprocessing.

PythonTensorFlowKerasOpenCVTkinter
Full Stack

Career Hunt

Interactive CRUD platform for professionals to showcase skills. React frontend with Node.js backend, MongoDB Atlas, with features for images, tags, and social interactions.

ReactNode.jsMongoDBCSS3
Real-Time

Gossip — Chat App

Real-time chat web application built with WebSockets. Responsive React frontend with Node.js backend and MongoDB Atlas for persistent message storage.

ReactNode.jsWebSocketsMongoDB
Full Stack

Beekin — Jobs Portal

Full-stack job portal with Vue.js frontend and Node.js/Express backend. MongoDB database for persistent storage with full CRUD operations for job listings and applications.

Vue.jsNode.jsExpressMongoDB

Achievements & Certifications

4-Star CodeChef Coder

Maximum rating of 1936 with Institute Rank 1 at Galgotias University

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CodeChef LunchTime

Secured 243rd rank among 5,364 candidates with Institute Rank 1

Deep Learning Specialization

Certified by IIT Kharagpur — Neural networks, CNNs, RNNs, and optimization techniques

Technical Recognition at Samsung

Recognized for exceptional performance optimization and cost reduction at current role

Cisco — Intro to Networks

Certified in networking fundamentals, protocols, and OSI model architecture

LeetCode 250+ Solved

Solved 250+ problems on LeetCode strengthening DSA and problem-solving skills

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