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Faraz Ahmad

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

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Who I Am

About Me

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

Hello, I'm Faraz! 👋

I'm a Senior Software Engineer at Samsung (Invictus) 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
Career Path

Work Experience

Senior Software Engineer

Samsung (Invictus)
Jan 2024 – Present Bengaluru, KA Current
Spring Boot Python GCP Docker Kubernetes PostgreSQL Grafana React.js Apache Airflow
  • 40% improvement Engineered a high-performance caching layer using in-memory bitmap Featurebase DB and Python for Samsung's large-scale dataset querying.
  • GCP Production Architected microservices with Spring Boot for business logic processing on PostgreSQL, deployed on GCP Compute Engine with Docker & Kubernetes orchestration.
  • 60% faster detection Designed comprehensive Grafana dashboards to monitor application performance, reducing mean time to detection of critical issues.
  • 60% less deploy time Built campaign analytics app using React.js with automated CI/CD pipelines leveraging Docker and GCP CodeBuild.
  • 25% cost reduction Successfully migrated Apache Airflow DAGs from AWS to GCP, optimizing Spark jobs to BigQuery for improved workflow performance.

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.
What I Use

Tech Stack

Languages

Expert
Java
Python
JS
TypeScript
HTML5
CSS3

Frameworks

Proficient
Spring
React
Node.js
Express Express
TensorFlow
Next.js

Cloud & DevOps

Proficient
AWS
GCP
Docker
Kubernetes
Jenkins
Git

Databases

Proficient
MySQL
PostgreSQL
MongoDB
Snowflake Snowflake
Redis
BigQuery BigQuery
What I've Built

Featured Projects

Sign Language Detector
View Code
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
GitHub
CodeLens
View Code Live Demo
Full Stack

CodeLens

Interactive algorithm visualizer with AI-powered dry run explanations. Built with Next.js and TypeScript, featuring a Monaco code editor, real-time graph rendering via D3 and Cytoscape, and Google SSO authentication.

Next.jsTypeScriptGroq AID3.jsNextAuth
GitHub Live Demo
MedScan AI
View Code Live Demo
ML / Full Stack

MedScan AI

AI-powered health companion with 22 intelligent modules — pill scanner, lab reports, skin analysis, symptom checker, vitals tracker, X-ray reader, food scanner, and more.

Next.jsTypeScriptGemini AINextAuth
GitHub Live Demo
Recognition

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

View Certificate

Technical Recognition at Samsung

Recognized for exceptional performance optimization and cost reduction at current role

Cisco CCNAv7 — Intro to Networks

Certified in networking fundamentals, protocols, and OSI model architecture

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Coding Ninjas Certification

Certified in Data Structures & Algorithms by Coding Ninjas

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Wipro Certification

Professional certification issued by Wipro

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LeetCode 250+ Solved

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

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Google Code Jam — Round 1

Qualified and competed in Google Code Jam Round 1 among thousands of global participants

View Certificate
Academic Background

My Education

Bachelor of Technology — Software Engineering

Galgotias University, Greater Noida
2018 – 2022 CGPA 8.8 / 10

Highlights & Certifications

Institute Rank 1 — Competitive Programming
4-Star CodeChef (max rating 1936)
Deep Learning Specialization — IIT Kharagpur
Cisco Intro to Networks Certification