Virendrasinh Chavda

ML/AI Engineer (Part-time)                                                                                                Dec 2024 – Present

Anima People | London, UK                                                                                                                               

• Develop and deploy machine learning models for anomaly detection, fraud prevention, and threat intelligence.
• Design and optimize risk scoring algorithms for individual user profiles.
• Build and maintain scalable ETL pipelines to preprocess and analyze large volumes of real-time security data from diverse sources, utilizing tools like Apache Kafka, Spark, and AWS.
• Collaborate with cross-functional teams to integrate ML solutions into cybersecurity platforms.
• Implement explainable AI (XAI) frameworks using SHAP and LIME, ensuring transparency in model outputs to support regulatory compliance and stakeholder confidence.

Data Science Intern                                                                                                       April 2024 – Aug 2024

ESRC Business and Local Government Data Research Centre | Colchester, UK                                                   

• Conducted in-depth analysis of financial data, identifying key trends across 120+ UK HE institutions.
• Collaborated with stakeholders to deliver actionable insights, enhancing decision-making. 
• Developed and deployed an interactive dashboard with dynamic comment section using Streamlit and APIs.
• Implemented OAuth 2.0 and encryption to secure sensitive financial data.

Design Engineer                                                                                                              May 2022 - Sep 2023

Hitech Digital Solutions LLP | Ahmedabad, India

• Developed a predictive maintenance system for 50+ manufacturing machines, achieving 86% accuracy in failure prediction and reducing downtime by 20% through advanced time-series sensor analysis.
• Reduced quality control (QC) time by 40% and saved $5,000 per month by implementing an error detection system for manufacturing drawings, achieving 89% classification accuracy using YOLOv8.
• Developed and deployed scalable APIs using FastAPI, containerized with Docker, and orchestrated on cloud platforms to ensure efficient and reliable data processing. 
• Built and optimized ETL pipelines to clean, aggregate, and preprocess time-series sensor data.
• Leveraged Spark for data transformations on large datasets, reducing processing time by 30%.
• Designed and conducted A/B tests to validate the performance of AI-driven error detection systems against traditional manual QC processes, analyzing metrics such as accuracy, processing time, and cost savings.
• Applied Bayesian optimization with Gaussian Processes to optimize model hyperparameters.

GenAI Engineer (Part-time)                                                                                            July 2022 – Dec 2022

Smart Technologies Outsourcing Services Pvt. Ltd.| Jaipur, India

• Designed, fine-tuned, and deployed advanced Generative AI models, leveraging architectures like GPT, DALL-E, and Stable Diffusion for diverse business applications.
• Engineered Retrieval-Augmented Generation (RAG) pipelines, integrating retrieval systems with generative models to enhance contextual accuracy and user experience.
• Created advanced prompts for text and image generation, optimizing outputs for domain-specific use cases using LangChain and similar frameworks.
• Integrated OpenAI and Hugging Face APIs for real-time AI-driven functionalities across applications, ensuring seamless interaction with external data sources.
• Collaborated with cross-functional teams to ensure seamless integration of Generative AI tools into production environments, boosting workflow automation and customer engagement by 20%.
• Delivered presentations to stakeholders, showcasing Generative AI capabilities and their business impact, fostering trust and driving adoption of AI solutions.

MSc Data Science (Distinction) | University of Essex, Colchester (UK)                                Oct 2023 – Oct 2024