P

Pratham Kuril

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Tower Hamlets, United Kingdom

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Résumé


Jobs verified_user 0% verified
  • B
    Founding AI Engineer
    BRAID TECHNOLOGIES
    Jul 2024 - Mar 2025 (9 months)
    • Developed and deployed end-to-end AI solutions and reusable AI design patterns for enterprise clients, accelerating product delivery timelines and standardizing AI workflows across client projects, thereby reducing development time.
    • Engineered a software toolkit leveraging AI agents to automatically produce C4 diagrams, LLM-ready code snippets, documentation, and test scripts, increasing test coverage to 90% and reducing development time by 50%.
    • Implemented a GPT-4-driven AI assistant with RAG architecture for a major British telecom, enabling 24 engineers to advance ML skills and adopt next-gen LLMs.
    • Designed the user experience and interface for the developed tools, such as the AI learning assistant and AI age
  • B
    Machine Learning Programmer Trainee
    BITWISE INC.
    Jul 2022 - Jun 2023 (1 year)
    • Assisted delivery teams in AI/ML resource integration as part of the Technology & Innovation team.
    • Led development of a Python-based classification tool to classify Informatica ETL workflows into reusable components—boosting developer efficiency by 300%.
    • Devised 50+ POCs for Azure Databricks real-time data ingestion pipelines, shaping roadmap decisions.
    ◦ Stack: Python; Azure Databricks; Delta Lake; Azure Portal; MySQL; Kubernetes; Apache Spark.
    • Utilized API management skills while working with Azure functions and APIs to enhance system integration.
    • Applied prompt engineering techniques to optimize the classification tool's performance.
    • Oversaw the UX/UI aspects of the front end o
  • Prescient Technologies
    Computer Vision Intern
    Prescient Technologies
    Mar 2021 - Jun 2021 (4 months)
    • Engineered a custom object detection model tailored to client requirements, improving model detection accuracy by 25% and reducing false positive rate by over 50%.
    • Evaluated 6 Artificial Neural Networks using transfer learning techniques, resulting in a 15% enhancement in model performance.
    • Presented results to stakeholders, driving AI deployment strategies in real-world industrial use cases.
    • Additionally, utilized API management skills to integrate various data sources and designed the front end for the object detection Python script, enhancing user interaction and accessibility.
    ◦ Stack: Python, CNNs, Transfer Learning.
Education verified_user 0% verified
  • I
    Python for Data Science, AI & Development
    IBM;
    Jan 2025
  • I
    Data Analyst Professional Certificate
    IBM;
    Jan 2025
  • I
    Deep Learning Fundamentals with Keras
    IBM;
    Jan 2025
  • A
    Solutions Architect Associate
    AWS;
    Jan 2025
  • City, University of London
    MSc
    City, University of London
    Jan 2023 - Jan 2024 (1 year 1 month)
  • M
    B.Tech
    MIT-WORLD PEACE UNIVERSITY
    Jan 2018 - Jan 2022 (4 years 1 month)
Projects (professional or personal) verified_user 0% verified
  • B
    Bankruptcy Prediction
    Jan 2025
  • S
    Story Generator Web App (Google
    Jan 2025
    Built an LLM-powered storytelling app using Streamlit and Gemini 1.5 Pro/Flash, increasing user engagement via genre-based customisation and creative control | (video demo) Trained YOLOv4 on custom dataset, boosting detection accuracy by 25% and halving false positives Analysed 8+ financial KPIs across EU sectors in Python, uncovering trends post-COVID/Brexit Clustered 39k+ articles via KMeans & PCA, visualised trends with Plotly/Seaborn Using MATLAB; Linear Regression; Random Forest Classifier for financial risk Analysis
  • O
    Online News Popularity
    Jan 2025
  • C
    Comparative Financial Analysis
    Jan 2025
  • I
    Indian Vehicle Detection
    Jan 2025