Open to opportunities

Prabhat ranjan Rai

@prabhatranjanrai

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Aspiring machine learning engineer with a focus on NLP and AI.

India

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What I'm looking for

I am looking for a collaborative environment that fosters innovation and growth, where I can apply my skills in machine learning and contribute to impactful projects.

I am a dedicated and passionate machine learning intern currently pursuing my Bachelor of Technology in Computer Science. With a strong foundation in natural language processing and deep learning, I have successfully developed and deployed various innovative projects that enhance user experiences and improve system efficiencies.

During my internship at Meraki Design Agency, I developed NLP models that significantly improved legal document retrieval and semantic search capabilities. My projects, including an intelligent exam preparation tool and a content-based movie recommendation system, showcase my ability to leverage advanced technologies to solve real-world problems effectively.

I am eager to contribute my skills in machine learning and software development to a dynamic team, where I can continue to learn and grow while making a meaningful impact.

Experience

Work history, roles, and key accomplishments

ML Intern

Meraki Design Agency

Jun 2024 - Sep 2024 (3 months)

Developed NLP models for Counsello.ai, enhancing legal document retrieval and semantic search using BERT, SBERT, and FAISS, which improved search precision by 30%. Built pipelines for text preprocessing, Named Entity Recognition (NER), and case summarization using TF-IDF, transformers, and rule-based heuristics.

NLP BERT Faiss TF IDF Transformers Apache Airflow

ML Intern

Meraki Design Agency

Jun 2024 - Sep 2024 (3 months)

NLP BERT Faiss TF IDF Transformers Apache Airflow

Education

Degrees, certifications, and relevant coursework

Ajay Kumar Garg Engineering College

Bachelor of Technology, Computer Science

Grade: 7.80 CGPA

Currently pursuing a Bachelor of Technology in Computer Science. Achieved a CGPA of 7.80, demonstrating strong academic performance in core computer science subjects.