Ashish is a Python Developer with 5+ years of experience in building high-performance applications and systems. He has a strong background in developing scalable solutions using Python, SQL, and various frameworks.
Designed and implemented a robust system for processing vast volumes of payment transactions.
Enhanced data processing speed by tenfold through optimization.
Implemented CI/CD pipelines ensuring bug-free deployments across multiple projects.
Leveraged Docker and Kubernetes for consistent, scalable deployment of applications.
Developed sophisticated algorithms for complex calculations in ad-serving platforms.
Developed a system that effectively handles millions to billions of payment transactions.
Enhanced data processing and ingestion speed by tenfold through optimization and updates.
Implemented CI/CD pipelines and utilized Selenium for automated testing, ensuring bug-free deployments.
Overview: Designed and implemented a robust system for processing and managing vast volumes of payment transaction data in the banking sector. Responsibilities: Monitored the entire data pipeline for seamless flow from ingestion to storage and retrieval. Maintained a clean and optimised codebase for easier updates and better scalability. Designed and optimised complex SQL queries for efficient transaction data management.
Key outcomes:
Ensured efficient storage, rapid retrieval, and reliable maintenance of financial records.
Overview: Designed and implemented comprehensive ETL pipelines with a robust CI/CD pipeline for continuous delivery. Responsibilities: Performed data cleaning & transformation for varied formats, loading into Elasticsearch. Used Logstash and Kafka for continuous data ingestion, optimising framework efficiency.
Key outcomes:
Enhanced data processing and ingestion speed by tenfold.
Overview: Developed a comprehensive web application that allows users to access and manage a range of AI models in real-time. Responsibilities: Integrated Elasticsearch for fast data retrieval and enhanced search capabilities for AI model data.
Key outcomes:
Ensured consistent development and deployment through Docker containerization.
Utilized Selenium to automate regression testing, preventing bugs in new updates.
Implemented real-time monitoring of AI models' resource usage.
Optimised data processing and storage operations.
ACULANCE / Price Permutation — scalable ad-serving platform + sophisticated permutation/combination algorithms + Django + Python.
Key outcomes:
Managed databases to ensure optimal performance and reliability.
Developed sophisticated algorithms for complex permutation and combination calculations.
Engineered logic for a scalable ad-serving platform.
Designed and developed websites to enhance user experience and engagement.
Ashish
Python Developer