FARAZ TAHIR

Led engineering architecture for a global contract generation platform, driving the transition from a legacy monolith to a modern, event-driven, serverless system on AWS. Acted as a hands-on technical leader, owning key design decisions, mentoring engineers, and aligning technical strategy with business goals

Key Contributions:

• Designed and implemented serverless workflows for the Global Employment Contract Automation Platform using AWS Lambda, Step Functions, API Gateway, and EventBridge, following AWS Well-Architected best practices for scalability, resilience, and security.
• Built real-time data pipelines using EventBridge, SNS/SQS, and DynamoDB to stream contract events into Databricks, enabling downstream analytics and visualization through Looker dashboards.
• Ran STRIDE threat modeling and performed AWS Well-Architected Reviews to proactively address security and reliability.
• Created OpenAPI specs for both synchronous APIs and async event-driven services to standardize interfaces.

Tech Stack:

Node.js, AWS (Lambda, API Gateway, Step Functions, EventBridge, DynamoDB, S3, SNS/SQS), Serverless Framework, Terraform, CloudFormation, GitHub Actions, OpenAPI, TDD, BDD, Java

• Working with live optics group to capture assessments data for different IT environments and workloads.
• Creating Data ingestion pipeline using azure event bus to gather the sample data from SQL/SAP work loads and derive meaningful presale data from it.

Skills:

Spring boot, Junit , .Net core, .Net framework, C#, Typescript, React/Redux, NUnit ,Azure Service Fabric, Cosmos Database, Sql, Database, Azure Service Bus

Designed and developed a next-gen serverless microservices suite for investment fund services, leveraging Node.js to build scalable, event-driven data ingestion pipelines for collecting fund data from SMTP servers, APIs, and messaging systems. Focused on creating decoupled, cloud-native solutions optimized for performance and scalability.

Key Contributions:

• Developed serverless, event-driven data ingestion flows using Node.js, integrating with SMTP servers, external APIs, and messaging systems to process fund data in real time.
• Transitioned legacy components to a serverless architecture with emphasis on decoupling, scalability, and cloud optimization.
• Built reusable services and APIs with Node.js to ensure seamless integration across multiple data sources.

Tech Stack:
Node.js, AWS Lambda, API Gateway, SQS, SNS, DynamoDB, EventBridge, JavaScript, REST APIs, Microservices, Jest (for testing), Serverless Framework

• The key part of my role is to work across mobility domain to design, develop, test and product-ionize different software modules from supplier aggregation for ground transportation to recommender engines for more personalized searches

Skills:

Java , Spring , Spring boot , React/Redux ,Spring Cloud, Drools , JPA , Junit,PI testing, MongoDB , Redis, S3, Redshift, Amazon Aurora, Hibernate, Kafka, Docker,Rancher, REST, SOAP, Microservices , JPMML, Tomcat,AWS, Zipkin, Jmeter

• My responsibility working at TSSG was to collaborate with different clients from academia or industry seeking expertise in a specialized domain in order to build and commercialize a software system
• Wizeoni:
• With increase regulations in data protections wizeoni creates a virtual market for the exhange of personnel
• Data
• RunAngel:
• Developed an IOS application for a safety wearable that sends alarms to the guardian in an event of emergency
• Predictive Analytics:
• Predicted the occurrence of Telecom Alarms based on Alarm occurred and at what time by developing a regression model using Recurrent Neural Networks (Spring boot,Spring cloud, React/Redux , Java,Python, Node.js, Mysql/Mongo, Jenkins, Openstack, Tomcat
• REST, Docker, Obj-C/Swift)

Worked on a Research Project titled "Laser Marks Detection from Fundus Images".

Publications/Journal:

1). Faraz Tahir,M.Usman Akram,Mujahid Abbass and Albab Ahmad khan."Laser Marks Detection from Fundus

Images".14th IEEE Conference on Hybrid Intelligent System,kuwait 2014.

2).Albab Ahmad Khan, M.Usman Akram, Ahmad Tariq, Faraz Tahir "Computer Aided Detection of Cataract" ,

Aecia, Moroco, 2016.

3). Faraz Tahir, M.Usman Akram, MD.Nuzhat Ayesha,Mujahid Abbass"Automated Localization of Palpebral

Conjunctiva and hemolgobin determination using smartphone camera". 10th International Convention on

Rehabilitation Engineering and Assistive Technology.(Under Review)

4). Faraz Tahir,M.Usman Akram,Mujahid Abbas,Albab Ahmad Khan."Detection of Laser Marks from Retinal

Images for Improved Diagnosis of Diabetic Retinopathy". International Journal of Computer Information Systems and Industrial Management Applications.Vol.7.