• Led a 10+ member team to design & develop a scalable Python based geospatial micro service for processing and storing user location data.

• Architected end-to-end AWS infrastructure using Cognito, API Gateway, Lambda, Cloudwatch, Parameter Store, and Aurora for secure, serverless integration.

• Engineered high-performance PostGIS geospatial queries to enable real-time, radius-based volunteer matching using dynamic coordinates.

• Developed and deployed a Flask-based Rest API for an AI chatbot powered by Groq LLaMA-3 incorporating zero shot classification and prompt engineering to improve response accuracy.

• Developed scientific desktop tools for microscope control, signal generation,and image acquisition.

• Collaborated across R&D, marketing, and sales teams for product refinement and innovation.

• Refactored core architecture of fluorescence microscopy software to enhance performance.

• Performed 2D and 3D annotation for in-cabin Ground Truth data.

• Executed and validated performance tests (MPJPE, Precision-Recall, FAR, TAR), analyzed and debugged failure cases for Eyeris’s 3D upper body pose estimation and tracking algorithm, Face Recognition and object detection algorithm.

• Experience working with 2D and 3D cameras and calibrated depth cameras.

• Built tools and infrastructure to enable evaluations of Computer Vision systems and algorithms.

• Documented validation reports conforming to customer specific requirements.

• Implemented an Augmented Reality scene by creating an interactive walkthrough with a first-person character controller in Unity.

• Fine-tuned the first person character controller settings (background color, walk/jump speed, etc.).

• Developed an algorithm to calculate oriented minimum volume 3D bounding box for segmented pointcoud using convex hull and rotating calipers algorithm.