Ashish has over 5 years of hands-on experience in Python development, specializing in building high-performance applications and systems. He has demonstrated proficiency in using frameworks like Django and Flask, as well as tools such as Docker and Kubernetes for scalable deployments. His work includes optimizing SQL queries for financial data management and developing automated testing solutions using Selenium. Ashish has contributed to projects in finance, advertising, and AI/ML, showcasing his versatility and expertise in various domains.
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