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Ankit MandusiaAM

Ankit Mandusia

AI Engineer

£112/day
London, GB
3-7 years

Average response time: 1 hour

About Ankit

I help businesses and startups build intelligent, data-driven solutions. With expertise in Data Science, Full-Stack Development, and AI, I deliver projects ranging from machine learning models and predictive analytics to fully functional web and mobile applications. I specialize in NLP, LLM-powered assistants, agentic AI, and prompt engineering, enabling businesses to automate workflows, enhance customer engagement, and unlock new capabilities. Skilled in Python, R, SQL, React, Node.js, and cloud platforms, I design end-to-end solutions — from advanced data pipelines and dashboards to AI-driven apps and chatbots. I focus on clean architecture, performance, and delivering measurable business impact.
  • English

    Native or bilingual

Can work on-site
London (up to 50km), Manchester (up to 50km), Edinburgh (up to 50km), Birmingham (up to 50km), Cambridge (up to 50km)

Experience

  • Malaviya National Institute of Technology
    Project Associate
    RESEARCH
    November 2024 - Today (1 year and 7 months)
    Jaipur, Rajasthan, India
    • Applied machine learning techniques and statistics for analyzing battery performance datasets, identifying patterns in charging/discharging cycles, and improving predictive modeling of cell behavior.
    • Developed ETL pipelines for DOBOT CR3 and MG400 test benches, producing clean datasets for analytics.
    • Coordinated cross-functional integration of battery hardware with automation scripts, enabling synchronized experiments and consistent data acquisition.
    • Video Demonstration – Robotics Automation Setup - https://youtu.be/4Aygwmuk-TU.
    Machine learning Data analysis artificial intelligence Product Development Back-End development
  • Outlier
    Freelance Al Training Expert Outlier
    TECH
    October 2024 - March 2025 (5 months)
    India
    • Contributed to RLHF and SRT projects (Hopper, Cypher Evals, Matcha Stem, Pref Ranking, Extensions V2 Log), enhancing generative AI training through code evaluation and task curation.
    • Evaluated AI model outputs and engineered comprehensive feedback reports to advance large language model accuracy and reliability across diverse task sets.
    RLHF SRT artificial intelligence

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Education

  • Master of Technology Computer Science
    Dayalbagh Educational Institute
    2024
    Completed a Master’s degree with a strong focus on advanced computer science concepts, artificial intelligence, and deep learning. My research project centered on brain tumor detection and segmentation using deep learning techniques on MRI image analysis, where I applied convolutional neural networks (CNNs) and image processing methods to achieve accurate medical image classification and segmentation. This work enhanced my expertise in computer vision, medical imaging, and AI-driven healthcare solutions, while also deepening my understanding of real-world applications of deep learning in critical domains.
  • Bachelor of Technology in Information Technology
    BK Birla Institute of Engineering and Technology
    2021
    Graduated with a strong foundation in computer science, programming, and information technology. Gained expertise in software development, databases, and algorithms, with exposure to data science, machine learning, and web development. As part of my academic journey, I developed a full-stack e-learning platform, integrating interactive learning modules, user authentication, and data-driven features to enhance student engagement. This project sharpened my skills in end-to-end development, problem-solving, and deploying scalable applications.

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