📞 +1 (602) 862-8872 🌐 https://kunalkas.carrd.co/ 📧 kkasodek@asu.edu
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Arizona State University, AZ
- Master of Science in Computer Science
- GPA: 4.00/4.00
- Duration: 8/2022 - 5/2024
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Vellore Institute of Technology, Chennai, India
- Bachelor of Technology in Computer Science and Engineering
- GPA: 8.73/10.00
- Duration: 7/2015 - 4/2019
- Programming/Scripting Languages: Python, C++, SQL, R
- ML Framework and Tools: PyTorch, Pandas, Keras, OpenCV, Numpy, Tensorflow, Terraform, TorchGeo, CUDA
- Cloud Platforms and Other Skills: Azure, AWS, Docker, Qiskit, Ethereum, Blender, Unreal Engine, DVC, QGIS, HuggingFace, GEE
- Data Science Skills: Hypothesis testing, A/B Testing, Bayesian Learning, Statistical Programming, Spark, Airflow, MLFlow
- Duration: 8/2023 - 01/2024
- Currently working on detecting guns in CCTV streams and analyzing detections to trigger alarms. Developing robust neural inference engines using C++ and deploying them as containers on AWS GPU instances for efficient inference.
- Duration: 5/2023 - 8/2023
- Created and deployed a web crawler using Terraform IAC modules to commit results and search them using a GCS interface. Created the search bar, results page angular components and a NestJS backend to consume the search results from GCS.
- Duration: Jul 2019 - Jun 2022
- Worked on various projects including detecting bark-beetle-infested trees from drone footage/images for Sodra, creating a simulated forest environment using Blender and Unreal Engine, implementing time-series forecasting solutions, and developing solutions for obtaining Minutes of the Meeting using transformer-based language models.
- Created several optimized models including a custom vision model with high Receptive Field and low-parameter, a custom fast Resnet Architecture, a fully convolutional ViT, and RemoteDiffusion, an SD 1.5 model finetuned on RSCICD.
- Worked on projects such as detecting and segmenting cones on the Mars surface, mitigating racial bias amplification in the COCO dataset, and analyzing Reddit Pushshift db using PostgreSQL efficiently.
🚀 Looking for Collaborations? Feel free to connect with me on LinkedIn or follow me on GitHub.
