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About

An AI/ML Trained Computer Science graduate with hands-on experience in building and deploying models using Python, LLMs, and cloud platforms. Certified in OCI AI, GenAI and AWS Cloud Practitioner, with strong skills in data handling, model optimization, and applying AI techniques to real-world problems.

Experience2

  1. Prompt Engineer Intern

    2025 — Present

    Excelerate

    Implemented LLM-driven application logic, improving response accuracy and relevance by 20%. Integrated LLM-based features into backend services using Python and REST APIs, supporting 1,000+ user queries. Used Git for version control and participated in 20+ peer code reviews.

  2. AI & ML Intern

    2025 — Present

    Kodacy

    Built and tested machine learning components using Python, PyTorch, and TensorFlow on 10,000+ data records. Deployed ML pipelines on AWS, improving inference accessibility and scalability by 30%. Collaborated with engineers to debug and optimize models.

Projects4

  • Fuzzy Text Classification with Two-Stage Training

    Built a text classification application, improving accuracy by 15% using fuzzy logic. Implemented and tested a two-stage training pipeline, reducing misclassification by 12%. Optimized inference performance, improving response speed by 20%.

  • Android Malware Detection using Genetic Algorithm & ML

    Developed a malware detection application achieving 93% accuracy through feature optimization. Analyzed and validated 3,799+ Android applications, resulting in a 92% detection rate. Reduced detection latency by 15%.

  • Context Aware AI Application using RAG

    Architected a RAG-based application using Hugging Face models across 1,000+ documents. Integrated vector databases and backend services to support concurrent query processing. Reduced hallucinated responses by grounding outputs with contextual retrieval.

  • Global Terrorism Analysis using Power BI

    Analyzed 200,000+ terrorism incidents to identify regional and temporal patterns. Designed interactive Power BI dashboards, increasing data accessibility by 40%. Delivered actionable insights that improved decision-making efficiency by 15%.

Education1

  • B.Tech in Computer Science (AI & ML Specialization)

    2020 — 2024

    Keshav Memorial College of Engineering