Talha Seker Email and Phone Number

Design, development and maintenance of the OpModel Dashboard:● Conducted requirements elicitation for high-impact pages such as Stress Failure, Missing Flags, RRAO Failure, DE Failure, Reconciliation, enhancing product reliability.● Developed data pipelines for critical pages using an internal distributed task management system and Python, reducing exception backtrack time 50%.● Led the development of the UI features and RESTful API design and development.● Architected data storage solution using internal object based NoSQL database, Hydra, supporting 40% faster queries and high traffic time-periods.● Revamped legacy code base, enhancing modularity and extensibility, aligning with new domain requirements.● Facilitated scrum meetings as the team's scrum master, utilizing performance metrics and retrospectives for continuous improvement.● Organized and led knowledge transfer sessions across cross-functional teams, strengthening collaboration, resulting faster tool onboarding.

Backend system and computation pipeline development for the Stocks Signal platform:● Engineered and launched a robust backend system for Stocks Signal Platform.● Developed and optimized an Apache Airflow-based data ingestion pipeline for data collection and updates across MongoDB and MySQL with 99% data consistency.● Deployed and monitored machine learning models to do real-time forecasting for equities, using Python, PyTorch, Celery, AWS Lambda, to create stock price signals.● Built a scalable equity price alert system via RabbitMQ, Celery, Python and systems like Twilio for real-time alert delivery to clients, for enhanced customer engagement.● Designed and Implemented the CI/CD pipelines, using Jenkins, Docker and Swarm, AWS secrets manager, reducing cloud deployment times by 50% and ensuring reliable software delivery.● Managed the inter-team collaboration between Web team and Mobile team for seamless feature integration and reduced response times.● Optimized backend performance by migrating key microservices from Python to Golang achieving around 40% better throughput.

Part time technical coaching: Led algarothms and data structure, object oriented programming and system design learning/mock interview sessions, providing expert guidance.

Backend software and computational pipeline development for the iQueue for OR product:● Developed and maintained large ETL pipelines using Apache Airflow as orchestrator.● Integrated real-time data ingestion and processing system from tenants’ HL7 channels into the backend via Mirth Connect, AWS Lambda and SQS, enabling efficient data synchronization and reducing lag by 92% on average.● Led migration of Apache Airflow hooks to product-specific hooks, decoupling workflows and distributing tasks across nodes, reducing processing time by 20%.● Deployed and maintained a distributed cache layer in front of the Core API.● Directed a major version migration for Pandas and NumPy libraries in Python 3.6, ensuring compatibility and stability across many microservices, enhancing reliability.● Developed and deployed microservices for the computation of new features in the product dashboard.

Software development on the MobileAction platform in various roles:● Engineered a high-throughput distributed task management system using Celery and RabbitMQ, enabling scalable data crawling from 20+ public sources.● Created Docker image repository and Docker Swarm CI/CD pipeline over Jenkins, reducing deployment time by 60% and ensuring rapid scalability for new services.● Developed the central API using Flask, optimizing data retrieval speeds by 30% by optimizing the application server configuration.● Reverse-engineered 18 high-traffic external APIs (e.g., Facebook, Google Play, Admob, iOS AppStore) for periodic data collection. I integrated them to the distributed task system to enhance system observability. ● Automated the day-to-day ETL (extract, transform, load) operations with Python.● Led a comprehensive cloud migration from Vultr and DigitalOcean to AWS, leveraging EC2 Graviton 2 processors and in-zone data transfers to optimize cost efficiency, reducing expenses by 20%.● Implemented security configurations with AWS security groups, enhancing data protection and reducing DevOps resource requirements.

● Created the REST API of the SaaS product functions by using the Python Flask microframework.● Developed a simple dashboard application to collect anonymous end-user information with the user’s consent using Python Flask and MySQL.