• Contributed to end-to-end project lifecycle, encompassing data collection, preprocessing, modeling, evaluation, and result presentation.• Applied expertise in working with large language models, specifically GPT-3 and GPT-3.5, to extract valuable insights from textual data.

• Engineered a data collection pipeline from global real estate websites.• Implemented pipeline to predict house prices on various parameters using time series model.• Developed a real estate chatbot using OpenAI, Flask, and Langchain. Created and maintained backend APIs.

• Developed and implemented machine learning models and algorithms for various client projects, enhancing predictive accuracy and performance.• Collaborated with clients to understand requirements and deliver customized AI solutions, demonstrating strong problem-solving and analytical skills.

• Leveraged OpenCV for image processing, including data augmentation, image enhancement, and feature extraction to improve model robustness.• Utilized PyTorch for building, training, and fine-tuning deep learning models, ensuring efficient handling of large-scale datasets.• Collaborated with cross-functional teams to integrate object detection models into production systems, ensuring seamless deployment and scalability.

I developed web applications using a host of technologies including but not limited to React, NodeJS, Flask, Django, PHP, WordPress with databases in MySQL, MongoDB, SQL server and Postgres.