Transforming challenges into solutions with Software Engineering
I'm Faraz Hussain, A Senior Software Engineer with 5+ years of experience building scalable Java applications using Spring Boot, Microservices, AWS, and Angular. Skilled in distributed systems, cloud-native architectures, CI/CD, and high-performance backend services. Also experienced in Generative AI, Agentic Workflows, and LLM integrations.
Highlights of my Experience so far…
Senior Member of Technical Staff
Nov 2024 - Present- Built an AI-powered code review pre-check system with Cline and OpenAI-o3 LLM model, cutting review cycles by 40% and accelerating feature delivery.
- Implemented AI driven swagger documentation workflow by creating specific skills and AI agents that would document APIs, reducing manual document effort by 90%.
Senior Software Engineer
April 2024 - Nov. 2024- 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
April 2022 - March 2024- 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
Sep. 2020 - March 2022- 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
Jan. 2020 - June 2022- 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
June 2019 - Aug. 2019- 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.
Things I'm great at…
Languages
Technologies & Frameworks
Core Competencies
Highlights of My Education…
RV College of Engineering
2016 - 2020B.E in Electrical and Electronics Engineering
CGPA: 8.42/10
BGS PU College
2014 - 2016Pre-University: Science (12th)
Score: 94.82%
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 Achievements…
Top Mentor - Unstop Talent Meet 2025
Recognized as a Top Mentor at Unstop Talent Meet 2025 for mentoring 1,500+ students and graduates in coding, interview preparation, and career development, helping aspiring professionals navigate their transition into the tech industry.
AWS GameDay Winner
In a final-moment thriller, we clinched victory at the AWS GameDay! 🏆 Team Game Changers showcased exceptional teamwork, problem-solving, and innovative thinking under tough challenges that put our AWS skills to the test.
Epsilon EPIC Hack 2022 Winner
Won Epsilon India's EPIC Hack 2022 hackathon — a competition driven by passion where close to 200 employees developed disruptive ideas aligned to Epsilon's ad-tech product space and technology roadmaps.
Quarterly Recognition
Received 2022-Q2 quarterly recognition for outstanding performance on migrating the internal campaign product to the Epsilon-built CORE-UI library as a key organisational initiative.
Some of my notable Projects…
GenTemplate AI
- Developed a system to generate personalized marketing email templates based on customer profiles including demographics, occasions, locations, hobbies, purchase histories, social statuses, and site activities.
- User provides a template skeleton and the occasion (e.g. abandonment or seasonal); GenTemplate AI generates a relevant and engaging email template tailored to the customer profile.
- Integrated Meta Llama3-70B Text Model hosted in AWS Bedrock for advanced text generation, with Bria 2.0 for enhanced media generation.
AI Coding Assistant
- 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
- 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 Hugging Face and LangChain frameworks for model development.
My Alexa Smart Assistant
- 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.