Python
With 8 years of experience in the tech industry, I excel at crafting innovative, scalable solutions at the intersection of software development, cloud computing, and IoT. Proficient in AWS, Python, and DevOps, I have led high-impact projects in cloud integration, CI/CD automation, big data processing, and product architecture. Passionate about optimizing performance, driving efficiency, and accelerating business growth, I thrive on solving complex challenges through cutting-edge technology and strategic innovation.
Roles & Responsibilities:
Projects:
Datacore – Big Data & EDM Processing- Worked as Python & DevOps Engineer, developing big data pipelines using Py-Spark for real-time analytics.
OVARRO – Anglian Water- Designed OT data pipelines and built React-based dashboards for real-time monitoring using Python & DevOps tools.
Asset Administrative Shell (AAS)- Developed digital twin models for asset monitoring & lifecycle tracking, integrating Python & DevOps solutions.
Roles & Responsibilities:
Projects:
Bolt Calculation Engine (SaaS) – Developed a simulation engine for chiller models in air conditioners, enabling accurate performance analysis. Designed simulation spikes to assess chiller efficiency and optimization under various conditions. Managed a load of 1 million customers, optimizing the code to ensure zero latency.
Roles & Responsibilities:
Projects:
IVATIV Cloud Infra – Enabled cloud connectivity for IVATIV devices, ensuring secure data exchange, database access, and remote firmware updates.
Roles & Responsibilities:
Projects:
Blu-hatch – Hatchery Management – Developed an end-to-end application for managing feed, treatment, water quality, and shrimp growth analysis.
Blu-bay – Pond Management – Designed a comprehensive platform for monitoring water quality, feed conversion ratio (FCR), survival rate (SR), and cumulative feed analysis. Led the integration of the Material Management module for spend analysis.
Blu-Maze – Shrimp Disease Detection – Built an AI-powered image recognition system using deep learning to identify shrimp diseases at an early stage.
AQU: AQU is a water quality monitoring system to measure the physical and chemical parameters that have a limiting effect on the growth of your ponds
Optimized Big Data Processing – Designed and implemented high-performance data pipelines using PySpark, improving EDM processing speed by 40% while ensuring real-time analytics with zero data loss.
Enhanced System Scalability – Led cloud infrastructure optimization for a 1 million+ customer workload, reducing latency to near zero and enhancing system reliability through AWS and DevOps best practices.
Python
GoLang
MySQL