Where I've worked
Experience
Aug 2025 - Nov 2025
Sydney, NSW
Full Stack Developer
Slidezilla.ai
- Built and owned the end-to-end MVP architecture for an ADHD-focused EdTech platform using React, Node.js, Express, and MongoDB, delivering a responsive and neurodiverse-friendly user experience.
- Integrated AI-powered personalised learning features via external APIs (Google Gemini), enabling adaptive content delivery and improved learning outcomes.
Technologies
React Node.js TypeScript MongoDB AWS Vercel
May 2025 - Present
Sydney, NSW
Assessment and AI Transition Assistant
The University of Sydney
- Led a university-wide AI assessment integration across 8 faculties and 3,500 academic units, defining AI usage guidelines and standardising assessment documentation.
- Managed large-scale data migration and QA workflows, validating 20–30 units daily with 99% accuracy while reviewing team outputs to ensure consistent AI policy adoption.
Technologies
Akari Airtable
Mar 2023 - Nov 2023
Bangalore, Karnataka, India
Software Engineer
Agilepoint
- Led development of an IT procurement automation system using HTML, CSS, JavaScript, streamlining 70% of the procurement lifecycle and reducing manual notifications by 50%.
- Built a Training-as-a-Service (TaaS) tracking platform with automated reporting and email workflows, eliminating 60% of manual effort and saving 10+ hours per month.
Technologies
JavaScript HTML CSS DocuSign API Microsoft Onedrive API React JS
Sep 2020 - Oct 2022
Bangalore, Karnataka, India
Production Support Engineer
Epsilon
- Optimised production data pipelines using SQL, Amazon Redshift, Informatica, reducing incident resolution time by 40% and improving data accuracy across 100+ pipelines.
- Automated quality checks, testing, and documentation, preventing 80% of defects pre-production and accelerating onboarding through structured knowledge transfer.
Technologies
MySQL AWS Redshift Shell Script Python Informatica
Feb 2020 - Apr 2020
Bangalore, Karnataka, India
Data Engineering Intern
Uncanny Vision
- Supported AI model development through data acquisition, annotation, and augmentation, improving training dataset quality and boosting model performance by 15%.
- Ensured high-precision data validation and organisation, reducing data-related issues during model testing by 15%.
Technologies
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