Rahul
Raghavendra Prasad

5 Zinzan Street · Reading · RG1 7UG ·· rahulrp@aimli.cloud

I have experience developing state-of-the-art models AI/ML models, Neural network optmisation, using BigData and ML and deep learning frameworks, creating visualisation dashboards and using statistical tools. I possess extensive expertise in handling complex analytical challenges within fast-paced, autonomous roles. Working as deep learning and machine learning Research assistant and internships have honed my leadership, problem-solving skills, and proficiency in AI and machine learning technologies.

Experience

AI/ML Engineer & Ops

[Founder]AIMLI.cloud

Develop and deploy Models on cloud for AI services.
Develop and Manage the website (AIMLI.cloud), database, data pipelines ,web pages, services.
Working on upcoming services - XGBoost decision trees, Image processing to increase resolution, remove blur from images, Action recognition, Emotion recognition, Image description generation, Large Language model (Gen AI)

May 2023 - Present

Knowledge Transfer Partnership (KTP) Assistant

Royal Holloway,University of London
  • Successfully deployed database systems
  • Utilized Microsoft Power Automate tools to automate the process of storing data from forums to databases, improving efficiency
  • Processed and visualized data using Python
February 2023 - March 2023

Research Assistant - Deep Learning and Machine Learning

Royal Holloway,University of London
  • Developed and deployed high-accuracy neural network models for facial emotion recognition, action recognition, and image description generation.
  • Built a real-time web application for facial emotion recognition using a webcam feed.
  • Performed hyper-parameter tuning of neural networks utilizing algorithms such as Particle Swarm Optimization and Ant Colony Optimization.
  • Engaged in text processing, segmentation, POS tagging, and tokenization for Natural Language Processing
July 2022 - January 2023

Software Engineer, Machine Learning

Lilac Cloud PVT Ltd (Acquired by F5 Networks)
  • Built robust and accurate machine learning models for server load prediction, leading to cost savings
  • Gained insights from statistical models and clustering techniques for data analysis.
  • Utilized Python for data pre-processing and visualization using packages like scikit-learn, Pandas, and NumPy.
April 2020 - July 2020

Education

Royal Holloway, University of London, UK

M.Sc. Artificial Intelligence

Distinction 78%

January 2022 - February 2023

Queen Mary, University of London, UK

PG-Cert Big Data Science

Pass

September 2018 - October 2019

National Institute of Engineering, University of Mysore, IND

Bachelors in Computer Applications

Distinction 74%

July 2014 - May 2017

Skills

Programming Languages & Tools
Proficient in Python, Java, SQL, MySQL, HTML, Flask, Git, C, C++, Azure Cloud Platform, AWS, DevOps/MLOps, JavaScript, MS Office, CI/CD pipelines, TensorFlow, PyTorch, Scikit-learn, NumPy, Pandas, OpenCV, MATLAB, PySpark, Hadoop, Matplotlib, NLP.
Soft Skills
  • Clear communication
  • Problem problem-solving
  • Creative
  • Critical Thinking
  • Time Management
  • leadership
  • Adapatability

Awards, Certifications & Publications

  • Amazon Web Services Solutions Architect Associate (Certification) by AWS :
    SYCLLFHK31VE13WX
    Verification link
  • Recipient of the Principal Master Scholarship at Royal Holloway University (2022).
  • Transfer Learning-Based Facial Emotion Recognition with PSO-Based Hyper-Parameter Tuning
    Link to Publication