Aug 2023 – May 2025 · 1 yr 9 mos · Greater Munich Metropolitan Area · On-site

• 1. Designed and implemented a customer-facing Spring Boot-based JVM application service from scratch. It handled 10,000+ daily requests, including end-to-end development and analyzing traces and debugging.
• 2. Developed and integrated authentication and authorization mechanisms, including tokenization and user database management for 10.000+ users.
• 3. Deployed a microservices-based system, reducing application response time by 40% and improving scalability.
• 4. Designed and integrated a subscription-based payment processing web service, streamlining transactions and reducing failures by 30%. Improved code quality and testing methodologies.
• 5. Set up CI/CD pipelines, improving deployment efficiency by 60% and ensuring zero-downtime releases.
• 6. Developed an image processing algorithm for QR code comparison and compression using OpenCV and Huffman-based encoding in C++, reducing storage size by 50% while maintaining quality.

Oct 2022 – Jul 2023 · 9 mos · Berlin, Germany

• 1. Developed a scalable architecture for monitoring and analytics, introducing new graphs and metrics to enhance observability in AWS CloudWatch.
• 2. Engineered a predictive model for estimating tier-down key usage, optimizing storage performance and reducing operational overhead.
• 3. Implemented secure authentication mechanisms, enhancing access control and ensuring compliance with industry standards.
• 4. Authored technical decision documents to drive the implementation of cluster efficiency metrics, enabling data-driven optimization.
• 5. Performed deep dives into system performance, conducted code reviews, and provided architectural inputs to improve maintainability and scalability.

Feb 2022 – May 2022 · 3 mos · Bengaluru, Karnataka, India

• 1. Worked in the Data Science and algorithms team on computer vision problems.
• 2. Worked on the Data Explorer tool to create an embedder class wrt to the use-case, and improvised visual accuracy by researching existing dimensionality reduction techniques. Eg. UMAP, t-SNE.
• 3. Implemented the UMAP approach to the data explorer tool.

Jun 2021 – Sep 2021 · 3 mos · Montreal, Quebec, Canada

• 1. Web-Development: Contributed to an interactive website in R using shinyJS and built a clone in Python(Django) which visualized(PlotLy) drug response data in various forms for research groups.
• 2. Brainstormed usage of GNN(Graph Neural Networks)s for drug response.

Apr 2021 – Oct 2021 · 6 mos · Remote · Remote

• Machine learning/Explainable AI: Researched SOTA methods to develop algorithms to make post-hoc explanations of ML models scalable and reliable, specifically in the context of Goodhart’s law.

Apr 2020 – Jul 2020 · 3 mos · Philadelphia, Pennsylvania, United States · On-site

• 1. Worked on the prediction of clinically relevant growth parameters of brain tumors,
• specifically, glioblastomas, using deep learning.
• 2. Published the work in MICCAi-2019.

Jan 2020 – Mar 2020 · 2 mos · Bengaluru, Karnataka, India · On-site

• Developed a web interface for acoustic feature analysis for
• determination of speech disorders like ALS, Parkinson to be deployed in a hospital. The dataset(3168) elements were processed and analysed using R.

Jun 2019 – Jul 2019 · 1 mo · Nainital, Uttarakhand, India

• Worked on Automation and control of 1.04M SAMPURNANAD
• TELESCOPE using PIC Micro-controllers and developed a GUI for reading position of Telescope coordinates.
• Tech-Stack : MPLABx, PIC microcontroller