I'm a curious and results-driven machine learning engineer with 2+ years of experience evaluating AI-generated responses and building AI-driven solutions across Mathematics, Physics, Biology, and Chemistry. I thrive at the intersection of problem-solving, scientific computing, and statistical analysis, and I enjoy turning complex data into actionable insights while prioritizing privacy and secure data handling. I build scalable ML systems and data pipelines, deploy models in cloud and containerized environments, and continuously improve evaluation methodologies with clear, explainable outcomes. I’m passionate about applying core ML techniques to real-world problems, from real-time inference to data infrastructure, and collaborating with cross-functional teams to deliver impactful solutions.

Deekshith K. Malleshaiah

I'm a curious and results-driven machine learning engineer with 2+ years of experience evaluating AI-generated responses and building AI-driven solutions across Mathematics, Physics, Biology, and Chemistry. I thrive at the intersection of problem-solving, scientific computing, and statistical analysis, and I enjoy turning complex data into actionable insights while prioritizing privacy and secure data handling. I build scalable ML systems and data pipelines, deploy models in cloud and containerized environments, and continuously improve evaluation methodologies with clear, explainable outcomes. I’m passionate about applying core ML techniques to real-world problems, from real-time inference to data infrastructure, and collaborating with cross-functional teams to deliver impactful solutions.

Available to hire

I’m a curious and results-driven machine learning engineer with 2+ years of experience evaluating AI-generated responses and building AI-driven solutions across Mathematics, Physics, Biology, and Chemistry. I thrive at the intersection of problem-solving, scientific computing, and statistical analysis, and I enjoy turning complex data into actionable insights while prioritizing privacy and secure data handling.

I build scalable ML systems and data pipelines, deploy models in cloud and containerized environments, and continuously improve evaluation methodologies with clear, explainable outcomes. I’m passionate about applying core ML techniques to real-world problems, from real-time inference to data infrastructure, and collaborating with cross-functional teams to deliver impactful solutions.

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Language

English
Fluent
Kannada
Fluent
Hindi
Fluent

Work Experience

Machine Learning Engineer at Mind Storms
March 1, 2024 - Present
Led development of AI-powered solutions for real-time human-computer interaction, integrating user data securely with privacy-by-design methodologies. Designed and deployed a recommendation model for personalized content delivery, enhancing user engagement through secure data handling. Built a high-accuracy brain-wave recognition system using TensorFlow and designed a scalable database architecture for storing and retrieving large-scale neural datasets. Deployed ML models in production using Kubernetes and Docker, ensuring real-time processing and scalability. Designed model evaluation pipelines using precision, recall, F1-score, and explainability techniques. Contributed to Generative AI for accessibility by building NLP-driven systems and supporting infrastructure for storing user interactions and preferences.
Artificial Intelligence Engineer at RadicalX
January 1, 2024 - October 16, 2025
Led development of AI-driven coaching platforms to enhance user engagement and optimize system performance. Developed web scraping and automation pipelines using Selenium for EdTech coaching platform. Extracted and processed large-scale educational data for personalized learning experiences. Optimized Python scripts for performance via multithreading and asynchronous processing. Built CI/CD pipelines on AWS (EC2) to automate model deployment, reducing manual intervention by 30%.
Data Scientist Intern at Ai4Less
January 1, 2023 - October 16, 2025
Utilized computer vision techniques to implement image recognition systems for agricultural applications, achieving high accuracy in diverse environmental conditions. Developed scalable ML models for drone-based livestock care, showcasing AI use in animal welfare. Improved operational efficiency by designing personalized algorithms for animal care.

Education

MSc Data Science at University of Aberdeen
January 24, 2022 - May 31, 2023
Completed rigorous coursework in Machine Learning, Statistics, Data Visualisation, and programming in Python and R. Developed a thesis on "Quantification of mRNA Levels in Yeast," showcasing expertise in data science application to biological data through designing an automated pipeline for mRNA quantification in yeast using smFISH images. Acquired strong interdisciplinary skills in data science and image analysis for solving biological challenges.
Master of Science in Data Science at University of Aberdeen, Aberdeen, UK
January 11, 2030 - October 16, 2025
Bachelor of Engineering in Civil Engineering at Visvesvaraya Technological University, India
January 11, 2030 - October 16, 2025

Qualifications

Artificial Intelligence Engineer ,RadicalX
September 1, 2023 - January 31, 2024
Developed and enhanced personalised coaching platforms utilising OpenAI, Firebase, TensorFlow, Node.js, and React to provide intuitive user interfaces for coaching and mentorship. Implemented agile methodologies for continuous iterative improvements and comprehensive testing, refining platform functionality and user experience. Integrated advanced AI and machine learning techniques to solve complex problems and innovate within technology space. ● Introduced ReX to market, demonstrating strong project management and contributing to market penetration. ● Developed cutting-edge AI algorithms for real-world applications, enhancing functionality of personalised coaching platforms. ● Conducted comprehensive platform testing, employing iterative improvements that optimised user experience. ● Spearheaded integration of AI into drone systems by showcasing innovative problem-solving abilities. ● Exhibited commitment to professional development by earning certifications in computer vision, NLP, and data science. ● Collaborated with cross-functional teams to drive project development from inception to deployment.
Data Scientist Intern,Ai4Less, London
July 1, 2022 - March 29, 2023
Implemented machine learning models to tailor mud baths for pigs, improving animal welfare and operational efficiency. Employed computer vision techniques to ensure accurate identification under varying environmental conditions, utilising TensorFlow for scalable image recognition pipeline. Analysed and interpreted complex data sets, contributing to development of innovative solutions in precision agriculture. ● Developed AI algorithms allowing drones to provide individualised care to livestock, enhancing animal welfare practices. ● Implemented image recognition pipeline using TensorFlow, achieving high accuracy of pig identification in diverse conditions. ● Contributed to deployment of machine learning models, personalising mud baths for pigs, and demonstrating novel applications of AI in agriculture
Certified Computer Vision and NLP Master’s Program – Analytics Vidya
January 1, 2023 - October 16, 2025
IABAC Certified Data Scientist
January 1, 2021 - October 16, 2025

Industry Experience

Software & Internet, Education, Healthcare, Media & Entertainment, Life Sciences