About

About

About Me

Hello, I’m Akhil Chaudhary, a dedicated AI researcher based in Canada. I specialize in leveraging advanced technologies like NLP, Computer Vision, Knowledge Graphs and Deep Learning to solve complex problems and enhance the transparency and efficiency of machine learning systems. Currently focused on research, I have also extensively worked as a Machine Learning Engineer and Data Scientist.

Education

  • Dalhousie University, Halifax, Canada (January 2022 - May 2024)
    • Master of Science in Computer Science
    • Thesis: Top2Label - Explainable Zero Shot Topic Labelling Using Knowledge Graphs
  • Centre for Development of Advanced Computing, Bengaluru, India (August 2017 - February 2018)
    • Post Graduate Diploma in Advanced Computing
  • Dr. A.P.J. Abdul Kalam Technical University, Lucknow, India (August 2013 - July 2017)
    • Bachelor of Technology in Computer Science

Experience

Current Research

  • Research Assistant, Cape Breton University (January 2023 - Present)
    • Leading research to increase transparency in Large Language Models (LLMs) using advanced Deep Learning and Knowledge Graphs, improving information retrieval accuracy by 25%.
    • Actively contributing to developing more efficient data systems, co-authoring several influential papers in the field.

Teaching Experience

  • Sessional Instructor, Cape Breton University (January 2024 - Present)
    • Revolutionized the Data Mining course by incorporating interactive tools and problem-based learning, resulting in a 20% increase in student engagement.

Past Research

  • Research Assistant, Dalhousie University (January 2022 - December 2022)
    • Developed “Top2Label”, a framework that enhanced NLP benchmarks for zero-shot topic labeling using ConceptNet Knowledge Graphs, improving accuracy by 20%.
    • Presented research findings at top-tier conferences, significantly contributing to advancements in explainable AI.

Industry Experience

  • Data Scientist, Denave (September 2021 - December 2021)
    • Led the development of a propensity model that enhanced lead prioritization accuracy to 80%, resulting in $40M in cost savings and boosting sales conversions by 15%.
    • Optimized Transformer Networks for social media profile summarization, increasing campaign engagement by 40%.
  • Data Scientist, Accenture (May 2020 - August 2021)
    • Engineered an object detection model with 96% accuracy, contributing to a 20% reduction in operational downtime.
    • Enhanced OCR model precision by 10% through innovative preprocessing, increasing processing efficiency by 35%.
  • Data Science Consultant, Allstate (March 2018 - April 2020)
    • Invented a novel blur detection algorithm, integrated into the image processing pipeline to enhance automation efficiency by 50% and reduce manual review needs by 75%.
    • Developed a claims processing application that cut processing times by 98%, automating millions of monthly claims and revolutionizing operational workflows.

Teaching Assistant

  • Teaching Assistant, Dalhousie University (January 2022 - April 2022)
    • Contributed to the development and delivery of comprehensive teaching materials for exams, enhancing student performance and understanding.

Past Tutoring

  • CCC (Canadian Computing Competition) Senior Tutor, Olympiad Education (January 2022 - April 2022)
    • Led expert coaching sessions, significantly boosting students’ problem-solving skills and preparing them for national-level competitions.

Skills

  • Programming Languages: Python, Java, C/C++, SQL, JavaScript, HTML/CSS, R
  • Machine Learning Frameworks: Pytorch, TensorFlow, JAX, Keras
  • Technologies: AWS, GCP, Azure, Kubernetes, Docker, CI/CD
  • Libraries: Pandas, NumPy, Matplotlib, Scikit-Learn, Langchain

Achievements

  • Presented findings at top-tier conferences.
  • Multiple publications in high-impact journals on the topic of explainable AI and knowledge graphs.

Soft Skills

  • Research, analytical thinking, effective communication, teamwork, leadership, adaptability.

Contact


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