Anand Kamble

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Education

Master of Science (M.S.) in Computational Science Aug 2023 - Dec 2024 Florida State University
Coursework: High-Performance Computing, Scientific Programming, AI Methods & Applications.


Bachelor of Engineering (B.E.) in Mechanical Aug 2018 - May 2022 Savitribai Phule Pune University
Coursework: Fundamentals of Programming, Robotics, Linear Algebra, Calculus, CAD/CAM.


Experience

AI Engineer - Graduate Research Assistant Mar 2024 - Present Department of Scientific Computing, Tallahassee, FL
Tools: LangChain, Ollama, Docker, AI Agents

- Collaborated with Dr. Gordon Erlebacher on LLM, AI agents, LoRa fine-tuning, and RAG pipelines.
- Analyzed airline data using Pandas, SQL, and visualization tools, incorporating statistical modeling and time series analysis.
- Scaled transformer model inference across a 10-node cluster using SLURM, Nginx, and Docker.


Software Engineer Apr 2022 - Nov 2022 IncerroAI, Pune, MH
Tools: TypeScript/JavaScript, ReactJS, Cypress, DevOps

- Developed high-performance web apps using ReactJS, ThreeJS, Redux, MaterialUI, TailwindCSS, and Axios.
- Implemented Styled Components, React Navigation, push notifications, and web workers.
- Reduced re-renders by 40% via memoization and efficient state management.
- Built secure user authentication using OAuth, JWT, and AsyncStorage.


Talks

Automatic Grading System using LLM at Florida State University

Object following robot based on AI/ML at International Conference on Advances in Mechanical


Projects

Automatic Grading System using LLM Tools: LangChain, Ollama, Docker, CUDA

- Implemented automated grading using LangChain, LangGraph, Ollama, Transformers, and model evaluation.
- Deployed via Docker with a reverse proxy and CI/CD for cloud scalability.


Object Following Robot Tools: RaspberryPi, Python, OpenCV, SocketIO

- Developed a decision-making algorithm with a response time under 200ms.
- Created a computer vision-powered robot to track objects using Raspberry Pi and WebSockets.

Object Following Robot Based on AI/ML Object Following Robot Based on AI/ML

Fortnide: A Competitive 3D Game on Web Tools: TypeScript, ThreeJS, WebGL

- Integrated a custom physics engine simulating gravity, projectiles, and wind effects.
- Designed a rendering worker to handle multiple scenes and synchronize with the physics engine for up to 144Hz performance.


Publications

Object Following Robot Based on AI/ML
Published in Materials Today: Proceedings, 2022 - Elsevier.

Object Following Robot Based on AI/ML Object Following Robot Based on AI/ML Object Following Robot Based on AI/ML

Transcription and Translation of Videos using Fine-Tuned XLSR Wav2Vec2 & mBART
Published on arXiv.


Custom Data Augmentation for low resource ASR using Bark and Retrieval-Based Voice Conversion
Published on arXiv.


End to end Hindi to English speech conversion using Bark, mBART and a finetuned XLSR Wav2Vec2
Published on arXiv.


Skills

Programming Languages: Python, TypeScript/JavaScript, C/C++, Scala, Java
Frameworks/Libraries: LangChain, LangGraph, PyTorch, TensorFlow, scikit-learn, Pandas, Hugging Face, CUDA
Data Visualization: Matplotlib, Seaborn, Plotly, dash, D3.js
DevOps/Cloud: Jenkins, Docker, Docker Compose, AWS, Terraform, GitHub Actions
Other: PostgreSQL, Supabase, Git, GitHub