
Arihant Sheth
Chairperson

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About me
Data Science Grad @ CMU SCS | Prev - Technical Intern at Siemens Technology
Education

Carnegie Mellon University
2024 - 2025Master of Science - MS Computational Data Science 4.00 (Summer 24)Summer '24:11-637 Foundations of Computational Data Science - AFall '24:10-601 Introduction to Machine Learning11-785 Introduction to Deep Learning (PhD)05-849 Interactive Data Science11-631 Data Science Seminar

Dwarkadas J. Sanghvi College of Engineering
2020 - 2024Bachelor of Technology - BTech Computer Science and Engineering (Data Science) 9.25Activities and Societies: DJS - S4DS: Society 4 Data Science (Chairperson & Co-founder) DJ - ACM: Association for Computing Machinery (Technical team member) * More information about these two in my experiences section
Experience

DJS S4DS
Aug 2021 - Jun 2023Chairperson- Established and nurtured a dynamic data science community comprising 250+ students through strategic organization of hackathons, workshops, and seminars featuring leading industry experts.- Personally mentored 100+ aspiring engineers through workshops, lectures, and more, empowering them to unleash their capabilities and cultivate a profound interest in data science.

DJ Sanghvi ACM
Aug 2021 - Jul 2022Technical Team Member- Worked in the technical team for the year, and built an IoT-powered LED cube that served as a technical attraction for the event.

NeuralTechSoft
Aug 2022 - Sept 2022Data Science Intern- Deployed an end-to-end ETL pipeline to automate the stock trading process using Apache Airflow for Python - Developed a backtesting algorithm that autonomously selects the best hyperparameters each week

CogXR Labs
Feb 2023 - May 2023Deep Learning Research Intern- Implemented a Docker-based runtime environment for the research paper "Text2Light," enabling the generation of 3D world environments from textual user input.- Collaborated with a team to explore the potential application of the Text2Light model in creating immersive Virtual Reality (VR) experiences.

Marcos Quay
Mar 2023 - Jul 2023Cloud Backend Developer Intern- Spearheaded the implementation of a cloud computing solution using Google Cloud Platform for a sports training company, enabling efficient storage of sport-specific videos in buckets.- Integrated sports videos seamlessly into a Flutter app, collaborating closely with the frontend team to ensure smooth functionality and user experience.- Developed an intuitive and user-friendly admin dashboard to monitor coaches and track video viewership, along with assigning new videos.

SynapLabs
Jun 2023 - Jan 2024Founding Engineer- Automated product lifecycle by Product Requirement Document (PRD) generation and competitive analysis- Created a novel token management technique that halved PRD generation cost- Engineered a seamless RAG pipeline to allow the LLM to request information beyond its internal knowledge

Siemens Technology and Services Private Limited
Feb 2024 - Jun 2024Technical Intern- Created a custom LLM Agent for the optimization of industrial chillers, using few-shot prompting to leverage its reasoning abilities.- Effectively developed a startin-point heuristic that reduced mathematical solving time and optimization cost by 40%.- Utilized open-sourced math-foundation LLMs to reason convex optimization problems.
Licenses & Certifications
- View certificate

Neural Networks and Deep Learning
DeepLearning.AISept 2021 - View certificate

Custom and Distributed Training with TensorFlow
DeepLearning.AIFeb 2023 - View certificate

Advanced Computer Vision with TensorFlow
DeepLearning.AIJan 2023 - View certificate

Custom Models, Layers, and Loss Functions with TensorFlow
DeepLearning.AIFeb 2023
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