Hey, I’m Faraz.

Passionate Software Engineer

Transforming challenges into solutions with Software Engineering

I'm Faraz Hussain, A Software engineer with nearly 4 years of experience in building scalable software and tech leadership.

Crafting Efficient, Scalable, and Robust Solutions in Software Engineering. Having primary experience in Real-time applications.

Having an Industrial technical expertise with

Programming Languages such as,

  • Java

  • Python

  • Typescript

  • HTML

  • CSS

Frameworks such as,

  • Angular

  • SDLC

  • Unit Testing

  • REST API

  • AWS

  • Cloud Computing

  • DevOps

  • MongoDB

  • Spring

Coursework such as,

  • Distributed Systems

  • System Design

  • Data Structures and Algorithms

  • Micro Services

  • CI/CD

Highlights of my Experience so far…

Senior Software Engineer

Epsilon | April 2024* | Bengaluru, Karnataka

  • Audited various AWS services like S3, Cloudwatch, Step Functions, DynamoDB, ElastiCache and Lambda to save over USD 1500/month by finding alternative and efficient approaches and solutions to use these services.

  • Led and Designed an event priority system for marketing campaigns to handle various customer abandonment events.

Software Engineer 2

Epsilon | April 2022 - March 2024 | Bengaluru, Karnataka

  • Led and designed the architecture of an AWS Disaster Recovery system with an efficient failover and failback mechanism, ensuring minimal downtime of 10-20 minutes using the Pilot-Light approach, Hence optimizing the cost.

  • Designed a Machine Learning algorithm(KNN) to recommend the most favourable product based on customer history.

  • Led and designed the Retail Media Network infrastructure to deliver highly personalized multi-channel content to customers based on the latest behavioural and historical data, ensuring a seamless experience within a 300 ms SLA.

  • Played a key role in developing customer journey orchestration campaigns for abandonment behaviours such as abandoned cart, product, category, search etc., utilizing Camunda in a cross-team collaboration project.

  • Reduced manual application monitoring by 90% by creating Kibana’s Machine Learning anomaly detection jobs.

  • Mentored junior engineers to assist in developing skills through code reviews, advice, coaching and training.

Software Engineer 1

Epsilon | Sep. 2020 - March 2022 | Bengaluru, Karnataka

  • Played a key role in migrating 85% of the application UI to Epsilon’s internal Core UI framework as a part of the initiative.

  • Improved coding efficiency by 60% through the creation of efficient, reusable Angular components.

  • Designed and led the marketing campaign scheduling feature, enabling clients to set multiple schedules for various campaign launches such as seasonal, abandonment etc., based on their specific requirements and business needs.

  • Integrated the existing campaign solutions with Salesforce Marketing Cloud to facilitate multi-channel campaigns to enhance customer journey orchestration for improved engagement and effectiveness.

  • Developed and optimized universal filters, achieving a 30% improvement in the speed of filtering response JSON.

Software Engineer Intern

Epsilon | Jan. 2020 - June 2022 | Bengaluru, Karnataka

  • Enhanced overall code coverage from 40% to 80% by developing JUnit test cases for all project repositories.

  • Contributed to the automation of API testing using Gauge, significantly reducing the need for manual testing.

  • Supported manual testing efforts and wrote edge test cases to ensure thorough test coverage.

  • Addressed and resolved both front-end and back-end defects, writing test cases to maintain high coding standards.

EID OMLP Intern

GE Healthcare | June 2019 - Aug. 2019 | Bengaluru, Karnataka

  • Achieved a 21% improvement in Final Quality Check (FQC) efficiency through process optimization.

  • Enhanced Initial Quality Check (IQC) by 10% by refining quality control procedures.

  • Designed and implemented an Alignment Spacer for SVCT, resulting in a 10% reduction in time for the spacing test.

Highlights of My Education…

RV College of Engineering

2016 - 2020 | Bengaluru, Karnataka

CGPA: 8.42/10

B.E in Electrical and Electronics Engineering

BGS PU College

2014 - 2016 | Chikmagalur, Karnataka

Score: 94.82%
Pre-University: Science (12th)

What makes me different?

What makes me different?

I excel in leading cutting-edge tech projects, from AWS optimization to AI solutions, consistently driving performance improvements and cost savings. My expertise spans complex system architecture and innovative problem-solving.

As a mentor and thought leader, I'm committed to advancing the field of software engineering. I bring a unique blend of technical skill, innovation, and leadership to every challenge.

Some of my notable Proejcts…

GenTemplate AI

AWS Bedrock, Python, Angular and Bria

  • Developed a system to generate personalized marketing email templates for customers based on their profiles, including demographics, occasions, locations, hobbies, purchase histories, social statuses, and site activities.

  • User provides a template skeleton and the occasion, such as an abandonment or a seasonal. GenTemplate AI generates a relevant and engaging email template tailored to the given occasion and customer profile.

  • Integrated Meta Llama3-70B Text Model, hosted in AWS Bedrock, for advanced text generation with Bria 2.0 Model for

    enhanced media generation

AI Coding Assistant

Open AI, Python, Angular, Microsoft Azure

  • Created a coding assistant utilizing the ChatGPT-3.5 Turbo model within Microsoft Azure’s OpenAI environment.

  • Developed an IDE extension that reads files to suggest improvements, detect code bugs, and identify code smells.

  • Integrated the assistant with GitHub accounts to analyze open pull requests and provide recommendations.

LangChain Custom ChatBot

LangChain, Python, Streamlit, OpenAI

  • Developed a Conversational AI Assistant capable of learning from custom data sets fed by offline documents, Excel files, PDFs, or cloud services like Google Drive.

  • Enabled the assistant to answer questions based on the ingested data including voice-assisted answers.

  • Utilized the Hugging Face and LangChain frameworks for model development.


My Alexa - Smart Assistant

AWS, Alexa, Python, Arduino

  • Developed a personal assistant using a voice recognition module and Arduino.

  • Enabled the assistant to perform functions such as switching lights & fans on or off, and changing room light settings.

  • Implemented features to play pre-programmed songs based on voice commands.

Some of my Achievements…

AWS GameDay Winner

In a final-moment thriller, we clinched victory at the AWS GameDay!🏆
In a thrilling competition that put our AWS skills to the test, Team Game Changers showcased exceptional teamwork, problem-solving, and innovative thinking. The challenges were tough, but our collective expertise and determination led us to success.

Epsilon EPIC Hack 2022 Winner

Epsilon EPIC Hack 2022 Winner

Epsilon EPIC Hack 2022 Winner

The EPIC Hack 2022, is a hackathon competition held by Epsilon India focussed on being driven by Passion – one of Epsilon's core values – the event saw close to 200 Epsilon employees and colleagues get together in our office to develop disruptive ideas aligned to Epsilon's ad-tech product space and technology roadmaps.

Delivered Tech Talks

Delivered several tech talks on interesting topics like product architecture, AWS services cost savings, anomaly detection using Machine Learning and internal products overview

Quarterly Recognition

Received 2022-Q2 quarterly recognition for outstanding performance on migrating the internal campaign product to the Epsilon-built internal CORE-UI library as an initiative in the organization

Certificates earned so far..

AWS Cloud Practitioner

November 2023

Amazon Web Services (AWS)

Generative AI Fundamentals

June 2023

Google - June 2023

Data Science Foundations

March 2023

Great Learning - March 2023

Python for Beginners

June 2023

Educative.io - June 2023

JPMC Virtual Experience

January 2023

Forage - January 2023

Java: Data Structures

November 2022

LinkedIn Learning - November 2022