AI Engineer with 6 years of experience developing enterprise-grade Artificial Intelligence solutions using Machine Learning, Deep Learning, Generative AI, Large Language Models (LLMs), Natural Language Processing, Computer Vision, and MLOps. Experienced in designing intelligent automation platforms, AI copilots, forecasting solutions, and real-time analytics systems for finance, telecom, manufacturing, and e-commerce.
Expertise & skills
Programming Languages
PythonSQLScala
Artificial Intelligence
Machine LearningDeep LearningGenerative AINLPComputer VisionForecasting
LLM Frameworks
LangGraphSemantic KernelHaystackHugging FaceOpenAI API
ML Frameworks
PyTorchTensorFlowScikit-learnCatBoost
Vector Databases
WeaviateMilvusChromaDB
Cloud Platforms
Microsoft AzureGoogle Cloud
Databases
PostgreSQLMongoDBRedis
DevOps & MLOps
DockerKubernetesMLflowGitLab CI
Visualization
Power BITableauPlotly
Selected projects
Technologies: Python, Semantic Kernel, OpenAI API, Weaviate, FastAPI
- Developed an AI assistant for contract review and clause analysis.
- Implemented Retrieval-Augmented Generation for legal document understanding.
- Built semantic search using Weaviate vector database.
- Created secure REST APIs for enterprise integration.
- Optimized prompts for contextual legal responses.
- Reduced manual document review time.
Technologies: Python, CatBoost, Pandas, Azure ML, PostgreSQL
- Developed predictive churn models for telecom subscribers.
- Performed advanced feature engineering on customer behavior data.
- Built automated model retraining workflows.
- Improved customer retention campaign targeting.
- Delivered real-time prediction services through APIs.
- Created executive analytics dashboards.
Technologies: Python, TensorFlow, MLflow, Docker
- Built AI models to predict product quality issues.
- Analyzed sensor and production data for anomaly detection.
- Automated model deployment using MLflow.
- Containerized inference services with Docker.
- Reduced manufacturing defects using predictive insights.
- Integrated AI services with factory systems.
Technologies: Python, Hugging Face, FastAPI, MongoDB
- Developed NLP models for automated product categorization.
- Fine-tuned transformer models for classification tasks.
- Built scalable APIs for catalog processing.
- Improved catalog quality through AI automation.
- Reduced manual product tagging efforts.
- Enhanced search relevance across online marketplaces.
Ways of working
LeadershipProblem SolvingCommunicationTeam CollaborationCritical ThinkingStakeholder Management
Certifications
- Google Cloud Professional Machine Learning Engineer
- Microsoft Certified: Azure AI Engineer Associate
- AWS Certified Machine Learning – Specialty
- IBM Applied AI Professional Certificate
Education
Bachelor of Technology in Computer Science and Engineering
Vellore Institute of Technology
Achievements
- Successfully delivered 19+ AI and Machine Learning projects.
- Improved production model performance through optimization techniques.
- Developed reusable AI microservices for enterprise platforms.
- Accelerated deployments using automated MLOps pipelines.
- Recognized for innovation in enterprise Generative AI initiatives.
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