Hi, I'm Amal Raj Thomas, an AI/ML Engineer and Data Scientist with 5 years of experience building intelligent, data-driven solutions across computer vision, generative AI, product diagnostics, and robotics domains. I have proven skills in designing, developing, and deploying scalable ML workflows using cutting-edge technologies and a passion for emerging AI innovations. I thrive in cross-functional teams and am eager to take on challenging projects that drive impactful business transformation. Currently, I spearhead LLM-based projects at V-Labs, creating robust, real-time AI chatbots and RAG applications that elevate user experience and product satisfaction. With a strong background in mechanical engineering and machine learning, complemented by experience at Procter & Gamble and other research roles, I bring a blend of technical expertise and practical business insight to every challenge.

Amal Raj Thomas

Hi, I'm Amal Raj Thomas, an AI/ML Engineer and Data Scientist with 5 years of experience building intelligent, data-driven solutions across computer vision, generative AI, product diagnostics, and robotics domains. I have proven skills in designing, developing, and deploying scalable ML workflows using cutting-edge technologies and a passion for emerging AI innovations. I thrive in cross-functional teams and am eager to take on challenging projects that drive impactful business transformation. Currently, I spearhead LLM-based projects at V-Labs, creating robust, real-time AI chatbots and RAG applications that elevate user experience and product satisfaction. With a strong background in mechanical engineering and machine learning, complemented by experience at Procter & Gamble and other research roles, I bring a blend of technical expertise and practical business insight to every challenge.

Available to hire

Hi, I’m Amal Raj Thomas, an AI/ML Engineer and Data Scientist with 5 years of experience building intelligent, data-driven solutions across computer vision, generative AI, product diagnostics, and robotics domains. I have proven skills in designing, developing, and deploying scalable ML workflows using cutting-edge technologies and a passion for emerging AI innovations. I thrive in cross-functional teams and am eager to take on challenging projects that drive impactful business transformation.

Currently, I spearhead LLM-based projects at V-Labs, creating robust, real-time AI chatbots and RAG applications that elevate user experience and product satisfaction. With a strong background in mechanical engineering and machine learning, complemented by experience at Procter & Gamble and other research roles, I bring a blend of technical expertise and practical business insight to every challenge.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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Work Experience

Generative AI Engineer at V-Labs
October 1, 2024 - Present
Led development of LLM-based customer service chatbots integrating OpenAI and LLaMA models to improve user experience and product satisfaction. Designed a Retrieval-Augmented Generation system using vector similarity search to enhance response accuracy by 25%. Applied prompt engineering and Ethical AI practices reducing hallucinations by 30%. Built scalable backend with FastAPI, improving latency by 87%, and deployed solutions using Docker and Kubernetes for cloud scalability. Collaborated with AWS teams to handle 200K+ API calls/day and contributed to enterprise AI platforms using GPT, Claude, Gemini, Mistral, and other LLM tools. Implemented vector databases FAISS and ChromaDB to manage large datasets efficiently.
Data Scientist at Procter & Gamble
July 1, 2024 - August 26, 2025
Integrated transformer models and deep learning to identify product defects and enhance consumer satisfaction. Fine-tuned LLMs (T-5) and developed a Q&A chatbot to improve product recommendations. Built RESTful APIs for real-time diagnostics and product dashboards enhancing root cause analysis. Improved ML lifecycle using MLflow and CI/CD pipelines, reducing latency by 34%. Collaborated across teams to ensure reproducibility and modular development of models and maintained analytical dashboards for strategic decision-making.
AI Researcher at Cooperative Distributed Systems
January 1, 2023 - August 26, 2025
Developed vision-based deep learning models for UAV landing detection, optimizing warehouse monitoring efficiency. Created object detection and classification systems combining image processing and Bayesian estimation. Implemented automated data preprocessing pipelines and facilitated containerized builds on embedded systems using Docker.
Data Scientist at SGS TEKNIKS, India
July 1, 2021 - August 26, 2025
Developed CNN models for fault detection and remaining useful life estimation from sensor data, reducing data collection costs. Analyzed vibration data using regression and clustering to reduce failure rates by 25%. Created anomaly detection and real-time monitoring dashboards, automating field monitoring and saving substantial manual effort. Enhanced industrial AI platform data workflows for improved production insights.

Education

Master of Science, Mechanical Engineering (specialization: Machine Learning) at University of Cincinnati
August 1, 2022 - August 1, 2024
Bachelor of Technology, Mechanical Engineering at SRM IST, Chennai, India
August 1, 2016 - May 1, 2020

Qualifications

Deep Learning Certification
January 11, 2030 - August 26, 2025
Machine Learning Certification
January 11, 2030 - August 26, 2025
Large Language Model Mechanisms Certification
January 11, 2030 - August 26, 2025

Industry Experience

Computers & Electronics, Consumer Goods, Manufacturing, Transportation & Logistics, Software & Internet