Keval Solanki

Phone: +91-8347066732 | Email: solankikeval166@gmail.com

LinkedIn: linkedin.com/in/kevalsolanki3003/

GitHub: github.com/solankikeval166 | LeetCode: leetcode.com/KevalSolanki/ | Twitter: twitter.com/SolankiKevalS1

Profile

A highly motivated AI Engineer with hands-on experience in Machine Learning, Deep Learning, and Generative AI. Passionate about building scalable AI solutions, enhancing NLP applications, and contributing to cutting-edge AI research.

Education

Charotar University of Science and Technology (CHARUSAT), India.
B.Tech in Computer Engineering, 2021 - 2025 | GPA: 8.5
Royal Science School, Rajkot, India.
Gujarat Secondary and Higher Secondary Board (GSHEB), 2019 - 2021 | Percentage: 91.5%
Krishna Science School, Dhoraji, India.
Gujarat Secondary and Higher Secondary Board (GSHEB), 2018 - 2019 | Percentage: 90.83%

Skills

Programming Languages: Python, Java
Backend & API Development: Flask, FastAPI, Postman, Swagger UI.
Databases: SQL, PostgreSQL
Tools & Platforms: MLFlow. DVC, Git, GitHub, CV Studio, Google Colab, Jupyter Notebook
DL & ML Frameworks: TensorFlow, Keras, Scikit-learn, Transformers, LangChain, NLTK
GenAI Frameworks: Hugging Face, Google Vertex AI, Azure OpenAI, Model Context Protocol (MCP)
Cloud & Deployment (MLOps): Docker, Nginx, Amazon Web Services (AWS), GCP, Azure

Experience

AI Engineer at Evoort Solutions
Nov 2024 - Present
- Designed and deployed Agentic AI systems and Model Context Protocol (MCP) servers, including a custom Amadeus MCP server integrated into existing chatbot platforms using scalable FastAPI inference.
- Built and deployed a Generative AI chatbot using LangChain and open-source models, reducing response time by 30% and improving query resolution accuracy by 25%.
- Developed and optimized backend systems using FastAPI and Flask, enabling seamless integration of AI models into production environments.
Machine Learning Intern at Evoort Solutions.
Jun 2024 - Nov 2024
- Gained hands-on expertise in NLP, LLMs, RAG pipelines, and chatbot development, contributing to multiple production level AI systems across industries.
- Delivered end-to-end ML/AI solutions, including training, fine-tuning, evaluation, deployment, and monitoring.
Research Intern at Chandubhai S Patel Institute of Technology.
May 2023 - June 2024
- Conducted a detailed analysis of leukemia cell detection methods using image processing, machine learning, deep learning, transfer learning, and image fusion techniques.
- Applied CNN and transfer learning on the C-NMC dataset from Kaggle, achieving ~80% accuracy in classifying leukemic and non-leukemic cells.

Projects