ML Engineer at Optisol Business Solution Pvt. Ltd., India

Developed and deployed computer vision models for classification, object detection, and pose estimation using AWS services (Lambda, Fargate, EC2, SageMaker), Docker, Linux, and SQL. Leveraged MLflow for model tracking and lifecycle management ensuring smooth version control. Implemented CI/CD pipelines for automated deployment via AWS, Docker, and GitHub workflows. Designed data pipelines with SQL for structured data management and monitoring in production. Engineered LLM-powered chat agents using OpenAI GPT-3.5-turbo, Claude 3.5 Sonnet, and Google Gemini. Integrated RAG pipelines for document processing with vector databases, improving response times by 40%. Developed and deployed computer vision models with YOLO, ResNet, FaceNet exposed via REST APIs and deployed on edge devices like Raspberry Pi. Trained machine learning models for healthcare applications and POCs, and explored LLM fine-tuning techniques such as LoRA and QLoRA. Led cross-functional teams integrating computer vision,

Data Scientist Intern (Remote) at Ismile Technologies, U.S.A.

Extracted and processed data from multiple sources using Python. Developed data preprocessing pipelines to automate data cleaning for structured data. Handled various data analysis tasks in a remote setting.

Tesco Colleague at Tesco Extra, Cardiff, U.K.

Assisted customers with locating products and provided excellent customer service. Collaborated with team members to ensure efficient store operations and customer satisfaction. Developed strong communication and interpersonal skills through daily interactions with customers and colleagues.

Machine Learning Engineer at Optisol Business Solution Pvt. Ltd.

Led design and deployment of AI-driven solutions in computer vision and NLP, including shoplifting detection, PPE compliance monitoring, face recognition, health image classification, and health care document parsing. Architected end-to-end ML pipelines (YOLO object detection, MediaPipe/OpenPose pose estimation, FaceNet with triplet loss) into production APIs; containerized services with Docker; tracked experiments with MLflow; automated CI/CD (GitHub Actions); deployed on AWS Lambda, AWS Fargate, SageMaker, and EC2. Built REST APIs with FastAPI; stored data in MySQL/PostgreSQL and MongoDB; used vector databases (Pinecone, Faiss) for embedding retrieval in RAG pipelines. Delivered multilingual NLP, topic modeling, and retrieval-augmented generation with LangChain + Pinecone + GPT-3; improved latency and real-time inference (<200 ms). Contributed to system design with frontend, data engineering, and DevOps teams; IoT integrations using AWS IoT Core with Raspberry Pi for smart telemetry;

Data Scientist Intern at iSmile Technologies

Extracted and processed data from multiple sources using Python; developed data preprocessing pipelines to automate structured data cleaning; performed data analysis tasks in a remote work environment.

ML Engineer at Optisol Business Solution Pvt. Ltd.

Designed and deployed AI-driven CV and NLP solutions (shoplifting detection, PPE monitoring, facial recognition, medical document parsing) for multiple clients. Architected end-to-end ML pipelines (object detection with YOLO, pose estimation with OpenPose, and facial recognition with FaceNet) into production APIs; achieved real-time inference (<200 ms latency). Containerized services with Docker; tracked experiments with MLflow; automated CI/CD pipelines with GitHub Actions; deployed to AWS Lambda, Fargate, SageMaker, and EC2. Built REST APIs with FastAPI; stored structured data in MySQL/PostgreSQL and unstructured data in MongoDB. Used vector databases Pinecone and Faiss for embedding retrieval in RAG pipelines. Drove automation and MLOps practices to improve reproducibility and deployment speed.

Data Scientist Intern at iSmile Technologies

Extracted and processed data from multiple sources using Python. Developed data preprocessing pipelines to automate the data-cleaning process for structured data. Handled various data analysis tasks in a remote work environment.

Customer Service Assistant at Cardiff Metropolitan University

Assisted customers with locating products and provided excellent customer service. Collaborated with team members to ensure efficient store operations and customer satisfaction. Developed strong communication and interpersonal skills through daily interactions.

ML Engineer at Optisol Business Solution Pvt. Ltd.

Led the design and deployment of AI-driven solutions in computer vision and NLP, including PPE monitoring, face recognition, health image classification, and health-care document parsing. Architected end-to-end ML pipelines integrating object detection (YOLO), pose estimation (MediaPipe, OpenPose), and FaceNet with triplet loss into production APIs, improving detection accuracy, reducing false positives, and enabling real-time inference (<200 ms latency). Designed and containerized services with Docker; tracked experiments with MLflow; automated CI/CD pipelines with GitHub Actions; deployed to AWS Lambda, Fargate, SageMaker, and EC2. Built REST APIs with FastAPI; integrated with SQL databases (MySQL/PostgreSQL) and NoSQL (MongoDB); applied vector databases (Pinecone, Faiss) for embedding retrieval in RAG pipelines.

Data Scientist Intern at iSmile Technologies

Worked on extracting and processing data from multiple sources using Python. Developed data preprocessing pipelines to automate the data-cleaning process. Handled various data analysis tasks in a remote work environment.