Data Scientist/ML engineer
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LLMOps
October 17, 2024 – October 28, 2024
This project(RAG) focuses on operationalizing LLMs by integrating OpenAI, MLflow, FastAPI, and RAGAS for evaluation. It allows users to deploy and manage LLMs, track model runs, and log evaluation metrics in MLflow. The project also features MLflow traces that logs all the user inputs ,responses ,retrieved contexts ,and other essential metrices.
View ProjectMLOps_Project
June 16, 2024 – July 5, 2024
An end-to-end MLOps pipeline(CI/CD/CT/CM) project for training, versioning, deploying, and monitoring machine learning models using FastAPI, Kubernetes, MLflow, DVC, Prometheus, and Grafana.
View ProjectMultiDocWebChat
September 6, 2023 – December 7, 2023
MultiDocWebchat combines the functionality of a PDF document reader with a powerful QA bot for in-depth document exploration.
View ProjectTrain_Price_Forecasting
February 11, 2022 – February 11, 2022
Train_Price_Forecasting — GitHub repository
View ProjectEnd-to-End-Movie-Recommendation-System-with-deployment-using-docker-and-kubernetes
August 24, 2021 – May 2, 2022
Content Based Recommendation system uses attributes of the content to recommend similar content. It doesn't have a cold-start problem because it works through attributes or tags of the content, such as actors, genres or directors, so that new movies can be recommended right away.
View ProjectCar-Price-Prediction
June 26, 2020 – August 17, 2020
We are required to model the price of cars with the available independent variables. It will be used by the management to understand how exactly the prices vary with the independent variables. They can accordingly manipulate the design of the cars, the business strategy etc. to meet certain price levels. Further, the model will be a good way for management to understand the pricing dynamics of a new market.
View ProjectCultural Fit Analysis
The candidate demonstrates a strong interest in MLOps and Data Science through numerous personal projects. The project diversity within this domain is good, showing exploration of recommendation systems, price prediction, and LLM operationalization. However, without information on team-based projects, contributions to open source, or community involvement, it's difficult to fully assess cultural fit beyond technical alignment with the target role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's profile primarily highlights technical project work without details on collaboration, problem-solving approaches, or communication styles.