AI & Machine Learning Engineer with 4 years of experience developing predictive analytics, computer vision, NLP, and Generative AI solutions. Skilled in designing scalable AI applications, MLOps pipelines, model deployment, and cloud-native AI systems for healthcare, manufacturing, and retail industries.
Expertise & skills
Programming
PythonSQLR
AI & ML
Machine LearningDeep LearningComputer VisionNLPGenerative AIPredictive Analytics
Frameworks
TensorFlowPyTorchScikit-learnOpenCVHugging FaceFastAPI
Generative AI
LangChainLlamaIndexPrompt EngineeringRAG
Cloud
Google CloudAWS
Databases
PostgreSQLMongoDBRedis
Tools
DockerKubernetesGitMLflowApache Airflow
Selected projects
Smart Retail Demand Forecasting
PythonTensorFlowApache AirflowPostgreSQL
Built AI models to forecast product demand and optimize inventory using historical sales data.
Medical Image Diagnosis Assistant
PyTorchOpenCVFastAPIAWS
Developed a deep learning solution for detecting abnormalities from medical images with explainable AI outputs.
Internal Knowledge Search Platform
LangChainLlamaIndexFAISSOpenAI GPT-4
Implemented a RAG-powered enterprise search assistant over company documentation.
Ways of working
LeadershipCritical ThinkingProblem SolvingCommunicationCollaborationAdaptability
Certifications
- Google Professional Machine Learning Engineer
- TensorFlow Developer Certificate
- Generative AI Fundamentals
- Docker Essentials
Education
Bachelor of Engineering (Computer Science)
Achievements
- Improved forecasting accuracy by 28%.
- Reduced AI model deployment time by 50% through CI/CD automation.
- Built scalable AI APIs supporting thousands of daily requests.
- Successfully delivered AI solutions across retail and healthcare domains.
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