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Hi, I'm Rishit Paramesh, an AI and Data Science graduate based in Manchester, UK. I have a solid grasp of the SDLC and STLC, and I'm passionate about transforming real-world data into actionable AI/ML insights. I enjoy collaborating across multidisciplinary teams to design, develop, and optimize AI-driven solutions, and I'm eager to contribute to dynamic projects in a fast-paced environment. I've worked on end-to-end model development, data preprocessing, MLOps, and cloud deployment. My hands-on experience includes building LLMs and RAG pipelines, and deploying production-ready applications with FastAPI, Docker, and GitHub Actions. I'm a quick learner who loves tackling challenges and continuously expanding my technical horizon.…Hi, I'm Rishit Paramesh, an AI and Data Science graduate based in Manchester, UK. I have a solid grasp of the SDLC and STLC, and I'm passionate about transforming real-world data into actionable AI/ML insights. I enjoy collaborating across multidisciplinary teams to design, develop, and optimize AI-driven solutions, and I'm eager to contribute to dynamic projects in a fast-paced environment. I've worked on end-to-end model development, data preprocessing, MLOps, and cloud deployment. My hands-on experience includes building LLMs and RAG pipelines, and deploying production-ready applications with FastAPI, Docker, and GitHub Actions. I'm a quick learner who loves tackling challenges and continuously expanding my technical horizon.

Rishit Paramesh

Data Scientist, AI Developer, Full Stack Developer, +2

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Hi, I'm Rishit Paramesh, an AI and Data Science graduate based in Manchester, UK. I have a solid grasp of the SDLC and STLC, and I'm passionate about transforming real-world data into actionable AI/ML insights. I enjoy collaborating across multidisciplinary teams to design, develop, and optimize AI-driven solutions, and I'm eager to contribute to dynamic projects in a fast-paced environment. I've worked on end-to-end model development, data preprocessing, MLOps, and cloud deployment. My hands-on experience includes building LLMs and RAG pipelines, and deploying production-ready applications with FastAPI, Docker, and GitHub Actions. I'm a quick learner who loves tackling challenges and continuously expanding my technical horizon.…Hi, I'm Rishit Paramesh, an AI and Data Science graduate based in Manchester, UK. I have a solid grasp of the SDLC and STLC, and I'm passionate about transforming real-world data into actionable AI/ML insights. I enjoy collaborating across multidisciplinary teams to design, develop, and optimize AI-driven solutions, and I'm eager to contribute to dynamic projects in a fast-paced environment. I've worked on end-to-end model development, data preprocessing, MLOps, and cloud deployment. My hands-on experience includes building LLMs and RAG pipelines, and deploying production-ready applications with FastAPI, Docker, and GitHub Actions. I'm a quick learner who loves tackling challenges and continuously expanding my technical horizon.

Available to hire

Hi, I’m Rishit Paramesh, an AI and Data Science graduate based in Manchester, UK. I have a solid grasp of the SDLC and STLC, and I’m passionate about transforming real-world data into actionable AI/ML insights. I enjoy collaborating across multidisciplinary teams to design, develop, and optimize AI-driven solutions, and I’m eager to contribute to dynamic projects in a fast-paced environment.

I’ve worked on end-to-end model development, data preprocessing, MLOps, and cloud deployment. My hands-on experience includes building LLMs and RAG pipelines, and deploying production-ready applications with FastAPI, Docker, and GitHub Actions. I’m a quick learner who loves tackling challenges and continuously expanding my technical horizon.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Kannada

Fluent

Hindi

Fluent

Work Experience

AI & Data Intern at Corpnce

May 1, 2025 - July 1, 2025

Machine Learning & LLM Development: Developed a Large Language Model for detecting VOCs using skin-sample data from 12 participants; performed preprocessing, feature extraction, and trained/evaluated models (Random Forest, SVM, Naïve Bayes) achieving 72% accuracy with Random Forest on optimised VOC features. Full-Stack CI/CD & Deployment: Designed a CI/CD pipeline for VOC model deployment using FastAPI, Docker, and GitHub Actions; built a secure web application with user authentication, session management, and encrypted PostgreSQL credentials; implemented a 4-hour auto-logout and automated Docker deployments. RAG & LLM Integration: Designed a Retrieval-Augmented Generation pipeline using Mistral AI and Ollama; integrated via LangChain, LangGraph, and Hugging Face to improve contextual accuracy and response reliability.