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Rakesh Gupta

@rakeshgupta1

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Detail-oriented AI/ML Engineer with hands-on experience in model development.

India

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What I'm looking for

I am looking for a role that fosters innovation and collaboration, where I can apply my AI/ML skills to solve real-world problems and grow professionally.

I am an AI/ML Engineer with a strong foundation in developing, maintaining, and optimizing AI/ML models and services. My hands-on experience includes working on innovative projects that leverage advanced techniques and tools to deliver impactful results. I thrive in collaborative environments, where I can contribute to design discussions and implement technically sound solutions.

During my internships, I have successfully developed a Retrieval-Augmented Generation (RAG) chatbot and improved predictive models for natural disaster management, achieving significant increases in prediction accuracy and cost reductions. My academic background in Computer Science with a specialization in AI & ML has equipped me with the necessary skills to tackle complex challenges in the field.

I am passionate about leveraging AI/ML technologies to create solutions that enhance user experiences and drive efficiency. I am eager to continue my journey in this dynamic field, contributing to projects that push the boundaries of what is possible with AI.

Experience

Work history, roles, and key accomplishments

Gen AI Developer Intern

Ranaha Consultants

Sep 2024 - Nov 2024 (2 months)

Developed a Retrieval-Augmented Generation (RAG) chatbot using LangChain and LLaMA, integrating ChromaDB for scalable and efficient document retrieval. Engineered retrieval workflows with document chunking, embeddings, and real-time query processing, ensuring policy-compliant responses and optimized data access.

Lang Chain ChromaDB Chatbot Embeddings

Machine Learning Engineer Intern

MOVIDU

Mar 2024 - Sep 2024 (6 months)

Assisted in development and deployment of predictive AI/ML models using real-time datasets from 28 Indian states and 8 UTs, targeting natural disasters and public event management. Improved supply chain operations by optimizing Random Forest and SVM models across 12 distribution centers, achieving a 25% increase in prediction accuracy and 1.2M annual cost reduction.

Predictive Analytics Random Forest SVM Data Analysis Machine Learning

Machine Learning Research Intern

BML Munjal University

Aug 2023 - Nov 2023 (3 months)

Developed and maintained a content-based recommendation system leveraging Bag of Words (BoW) and TF-IDF encoding to enhance relevance. Applied cosine similarity to boost recommendation accuracy by 40% and increase user engagement by 2.5x.

Recommendation Systems Bag Of Words TF IDF Cosine Similarity User Engagement Machine Learning Data Encoding

Education

Degrees, certifications, and relevant coursework

BML Munjal University

B.Tech in Computer Science & Engineering, Computer Science & Engineering (Specialization: AI & ML)

Grade: 7.52/10

Specialized in AI & ML, gaining expertise in developing, maintaining, and optimizing AI/ML models and services. Achieved a CGPA of 7.52/10, demonstrating strong academic performance in core computer science and AI/ML concepts.