Computational Neuroscience Lab, IIT-Madras.

- Prepared in-depth product review documentation targeted at Zero-Touch Provisioning, for 2 secure SD-WAN products - FortiGate 201F & FortiGate 6501F.- Ideated a locally-hosted RAG system to automate end-to-end product review & documentation process. Technologies involved: Ollama.

+ Created 'TPFit' (upto Version 4.0), a Proprietary Fitness Monitoring System using Pose Estimation Techniques, with Zero-latency tracking, hosted on Streamlit.+ Presented a Study on Perfomances of industry-leading deep learning models - MediaPipe's BlazePose & PoseLandmarkerLite, MoveNet, and OpenPose's Body_25 Pose_Iter_584000 for Fitness Monitoring, in terms of Inference time, effect of Pre-processing, & so on.+ Created 'TPPoseEstimationLibrary' a dedicated Library for analysing Exercises.

+ Presented study on methods to induce realism in DNN-based Speech-to-Speech Lecture ’Transcreation’ System, by researching on existing Voice Cloning applications for IndicTTS, an IIT-M Consortium guided by Dr. T. Nagarajan.+ Set up infrastructure of 2 GPUs (Hardware).+ Restored anechoic recording chamber & equipment, and logged inventory.

- Prototyped Cross-Platform Mobile application Screen for ProPhoneix WDA.- Learned basics of Xamarin.Forms, XAML, .NET, VS2022 for Mac, and C#.- Researched on Domain, Competitors, Languages & Frameworks, etc.- Developed Résumé keyword crawler for 6.5x faster screening.- Learned about Public Safety Domain in USA, and used knowledge in AppDev.- Learned roles of a HR / TA Manager.