Afnan Iram profile photo 1 on Tal

Afnan Iram

Software Engineer | Python | FastAPI | Backend Development | REST APIs

Greater Bengaluru Area

6+ years of work experience

Nov 20241 yr 10 mosPresent

Engineered and deployed Python-based microservices on AWS (EKS, Lambda, S3, Kubernetes) to power distributed, real-time AI inference pipelines for MRI/CT imaging workflows, leveraging asynchronous processing and event-driven architecture to reduce diagnostic turnaround time by ~30% across 15+ hospital integrations. Designed and architected a distributed, scalable integration platform using FastAPI and RESTful APIs, enabling service-to-service communication and API integration for 100+ third-party AI applications within Philips' PACS ecosystem, supporting 10+ global health systems. Built and maintained CI/CD pipelines using Docker, Kubernetes, and GitHub Actions for cloud-native deployment of regulated healthtech software, improving system scalability and reducing deployment time by 40% while ensuring regulatory compliance. Integrated LLM-based and agentic AI workflows into clinical decision-support systems via API-driven microservices, applying prompt engineering to reduce manual data review effort by 25% for cardiology and radiology teams. Architected fault-tolerant, horizontally scalable distributed data processing services to handle high-volume DICOM medical imaging data on cloud-native infrastructure (AWS, Kubernetes), improving system throughput by 3x and achieving 99.9% uptime and high availability for connected care APIs.
Samsung R&D Institute India - Bangalore
Jul 20222 yrs 5 mosNov 2024

Built Python microservices for a real-time bidding (RTB) engine processing 50K+ req/sec with sub-100ms p95 latency using asyncio and gRPC. Architected a Kafka-based distributed system for ad-serving across multi-AZ cloud infrastructure, scaling 3x traffic with zero latency degradation. Processed billions of daily events via fault-tolerant, event-driven architecture (Kafka, Flink), ensuring exactly-once processing semantics. Implemented circuit breakers, service discovery, and load balancing across a Kubernetes microservices fleet, reducing cascading failures during peak traffic. Built CI/CD pipelines (Docker, Kubernetes, Jenkins) enabling zero-downtime deployment, cutting release cycle time by 35%. Designed retry logic and idempotency patterns across distributed databases for high availability and fault tolerance.
Mar 20202 yrs 1 moMar 2022

Created test scenarios, test cases, and automation scripts using Selenium WebDriver. Performed functional, integration, regression, and exploratory testing for web and desktop applications. Logged and tracked defects in JIRA, ensuring timely resolution. Assisted in requirement refinement and contributed to system test planning.

Afnan’s AI Stack

claude code
claude code
claude
claude
codex
codex
cursor
cursor
github copilot
github copilot

Education

Malnad College of Engineering

Bachelor of Engineering, Computational Science

Malnad College of Engineering

20154 yrs2019

Join Afnan and 10k+ other professionals on

Tal Boss

Tal is the app where bosses meet engineers & builders directly, without middlemen

Download Tal Boss

Afnan Iram on Tal

Headline

Software Engineer | Python | FastAPI | Backend Development | REST APIs

About

Software Engineer with 4 years of experience in building, testing, and maintaining scalable applications. Proficient in Python, SQL, APIs, and Git, with a strong foundation in writing clean, efficient, and reliable code. Passionate about solving real-world problems, learning new technologies, and contributing to high-quality software in collaborative Agile teams.

Location

Greater Bengaluru Area

AI stack

claude code

claude

codex

cursor

github copilot

Work experience

Software Technologist at Philips Innovation Campus (via UST Global), Nov 2024 - Present · 1 yr 10 mos, Engineered and deployed Python-based microservices on AWS (EKS, Lambda, S3, Kubernetes) to power distributed, real-time AI inference pipelines for MRI/CT imaging workflows, leveraging asynchronous processing and event-driven architecture to reduce diagnostic turnaround time by ~30% across 15+ hospital integrations. Designed and architected a distributed, scalable integration platform using FastAPI and RESTful APIs, enabling service-to-service communication and API integration for 100+ third-party AI applications within Philips' PACS ecosystem, supporting 10+ global health systems. Built and maintained CI/CD pipelines using Docker, Kubernetes, and GitHub Actions for cloud-native deployment of regulated healthtech software, improving system scalability and reducing deployment time by 40% while ensuring regulatory compliance. Integrated LLM-based and agentic AI workflows into clinical decision-support systems via API-driven microservices, applying prompt engineering to reduce manual data review effort by 25% for cardiology and radiology teams. Architected fault-tolerant, horizontally scalable distributed data processing services to handle high-volume DICOM medical imaging data on cloud-native infrastructure (AWS, Kubernetes), improving system throughput by 3x and achieving 99.9% uptime and high availability for connected care APIs.

Software Engineer at Samsung R&D Institute India - Bangalore, Jul 2022 - Nov 2024 · 2 yrs 5 mos, Built Python microservices for a real-time bidding (RTB) engine processing 50K+ req/sec with sub-100ms p95 latency using asyncio and gRPC. Architected a Kafka-based distributed system for ad-serving across multi-AZ cloud infrastructure, scaling 3x traffic with zero latency degradation. Processed billions of daily events via fault-tolerant, event-driven architecture (Kafka, Flink), ensuring exactly-once processing semantics. Implemented circuit breakers, service discovery, and load balancing across a Kubernetes microservices fleet, reducing cascading failures during peak traffic. Built CI/CD pipelines (Docker, Kubernetes, Jenkins) enabling zero-downtime deployment, cutting release cycle time by 35%. Designed retry logic and idempotency patterns across distributed databases for high availability and fault tolerance.

Software Quality Assurance Engineer at Keysight Technologies (via Mynd solutions), Mar 2020 - Mar 2022 · 2 yrs 1 mo, Created test scenarios, test cases, and automation scripts using Selenium WebDriver. Performed functional, integration, regression, and exploratory testing for web and desktop applications. Logged and tracked defects in JIRA, ensuring timely resolution. Assisted in requirement refinement and contributed to system test planning.

Education

Bachelor of Engineering, Computational Science, Malnad College of Engineering