I am a Full Stack Developer born and brought up in the vibrant city of Mumbai. When I'm not coding, you can find me cycling, lifting weights at the gym, or trying to win the affection of my adorable (but sometimes sassy) cat, Susie. I'm passionate about building things for the web, have recently started contributing to open source, and I'm eagerly looking forward to going on my first trek soon.
Hi, I'm Amit 👋🏻
Latest posts
See all postsWork Experience
See all work- Jun2025 - PresentQuantiphi (via MyNextDeveloper)Senior Software Developer
- Architected a multi-region FastAPI backend serving US, EU, APAC, and LATAM with PostgreSQL (Cloud SQL) and SCD Type-2 data modeling, ensuring historical data preservation and global availability.
- Designed a system where each regional instance could securely access cross-region data, enabling seamless global operations for Bayer’s pharmaceutical software platform.
- Implemented authentication with SAP Gigya OIDC and Firebase Auth, adding CSRF protection, JWT key rotation, token revocation, and a granular RBAC system with 8 roles and 12 permission levels.
- Built secure workflows for file uploads to Firebase Storage via OIDC-based authentication, ensuring compliance for sensitive healthcare data.
- Established CI/CD pipelines with GitHub Actions, Docker multi-stage builds, Trivy vulnerability scans, and SonarQube analysis, deploying to GCP Cloud Run with Cloud Armour and private VPC networking.
- Developed comprehensive audit logging and analytics pipelines with BigQuery integration, providing real-time KPI dashboards, compliance reporting, and full traceability of user actions.
- Integrated external services such as JFrog Artifactory, Firebase Cloud Messaging, and Azure DevOps ticketing, streamlining software distribution and customer support.
- Dec2024 - May2025TensorpixFull Stack Developer (Contract)
- Improved large video file uploads efficiency by 70% and reduced server load by implementing presigned URLs and multipart uploads to S3 (Cloudflare R2), enabling direct-to-cloud media ingestion.
- Enhanced upload workflow by integrating a WebAssembly (WASM) worker for client-side metadata extraction and thumbnail generation, removing the need for server-side indexing and significantly speeding up processing.
- Developed an interactive before/after video comparison preview with a draggable slider, improving UX and raising customer satisfaction ratings from 3.1 → 4.2.
- Launched a no-signup instant upscaling feature for short video previews, resulting in a 20% increase in user sign-ups within one month.
- Established a CI/CD pipeline with GitHub Actions, automating tests, builds, and deployments to accelerate release cycles and improve reliability.
- Collaborated closely with product and design teams to deliver pixel-perfect React components, optimized video rendering, and responsive layouts across browsers.
- Implemented monitoring and error tracking with Sentry, improving incident detection and reducing bug resolution time by ~30%.
Recent projects
See all projects- TNSR.AI - Building a Scalable Media Enhancement PlatformA full-stack AI-powered platform for video, audio, and image upscaling with modern cloud architecture
- Reddit Sarcasm DetectionDetect sarcasm in Reddit comments using machine learning and NLP techniques.
- Allstate Claims Severity - How severe is an insurance claim?A machine learning project focused on predicting the severity of insurance claims using anonymized data and advanced regression models.
Let's Connect
If you want to get in touch with me about something or just to say hi, reach out on social media or send me an email.