π€ AI Engineer building LLM-powered applications, agentic workflows, and production ML systems.
π M.S. in Computer Science, NYU β focused on Machine Learning, Distributed Systems, and Cloud Computing.
π§ Working across the AI stack: prompt engineering, RAG pipelines, model fine-tuning, and deploying inference services at scale.
π§ Currently exploring agent frameworks, vector databases, and evaluation pipelines for reliable LLM systems.
π§ Reach me at: kushalkothari285@gmail.com
π Nature: Curious, Collaborative, & Detail-Oriented π―
π Fun Fact: My favorite brainstorming sessions involve coffee, LeetCode, and arguing with LLMs about edge cases!
- Languages: Python, Java, SQL, C++
- AI / ML: PyTorch, TensorFlow, Hugging Face, scikit-learn, LangChain, LlamaIndex
- LLM & GenAI: OpenAI / Anthropic APIs, RAG, Prompt Engineering, Fine-tuning, Vector DBs (Pinecone, FAISS, Chroma)
- Data: Pandas, NumPy, Matplotlib, Seaborn
- Cloud & MLOps: AWS (Certified Cloud Practitioner), GCP, Docker, Git
- Web: HTML, CSS, JavaScript, ReactJS



