An ode to Stacks and Pointers in Go!
This Blog describes the importance of pointers, stack and their mechanics in Golang
Read MoreSenior ML Engineer @WooliesX
March 2022 - Present
Engineered machine learning models to optimize offer allocation, resulting in a 16% increase in customer engagement and incremental sales. Developed deep learning models for real-time behavioral targeting, boosting engagement and conversion rates by 10%. Led the creation of 'Modelverse,' an in-house MLOps platform integrating MLflow, which reduced deployment times and improved model governance. Automated scalable pipelines, reducing time-to-market by 40%, and empowered data-driven marketing strategies that enhanced customer satisfaction. Collaborated with cross-functional teams to ensure seamless deployment of high-performance machine learning models in production.
ML Engineer @Servian
Oct 2021 - Mar 2022
Developed scalable recommendation algorithms using collaborative filtering, content-based models, and deep learning, improving customer satisfaction and engagement by 8%, while driving incremental revenue in retail and media. Designed and deployed advanced machine learning pipelines, integrating real-time recommendation models into production. Built a modular, reusable framework with Python and PyTorch, enabling rapid iteration and scalable deployment of ML models.
AI Engineer @6Clicks
Feb 2021 - Oct 2021
Played a key role in designing and enhancing the Hailey AI Engine, the core of 6Clicks’ GRC platform, revolutionizing the automation of compliance processes and reducing task times from days to seconds. Leveraged advanced machine learning and natural language processing (NLP) to implement features like Compliance Mapping and Policy Gap Analysis, delivering instant insights into control overlaps and streamlining risk management. Ensured seamless integration of the AI engine into the multi-tenant platform, providing real-time, AI-driven insights that added significant value for users.
Associate Software Engineer @EY
Aug 2016 - Sept 2018
Engineered and deployed end-to-end automation solutions across industries such as supply chain, banking, and HR, utilizing RPA tools (UiPath, Automation Anywhere) and custom Python scripting to create scalable workflows. Integrated with enterprise systems through REST APIs, reducing manual workloads by over 25%, while ensuring robust error handling in production environments. Additionally, designed and implemented enterprise-grade automation frameworks for Robotics Centers of Excellence (CoE), incorporating modular workflows, CI/CD pipelines, and version control, optimizing processes for 40% higher throughput, enabling scalable automation adoption, and ensuring compliance with security standards.
