AI Engineer with 6 years of experience building production-grade Artificial Intelligence solutions for banking, healthcare, retail, and cybersecurity. Expertise in Machine Learning, Deep Learning, Generative AI, Large Language Models, NLP, Computer Vision, MLOps, and scalable cloud deployments using modern AI frameworks.
Expertise & skills
Programming Languages
PythonSQLJava
AI & ML
Machine LearningDeep LearningGenerative AINLPComputer VisionTime Series Analysis
LLM Frameworks
LangChainAutoGenLlamaIndexOpenAI APIGemini API
ML Frameworks
PyTorchTensorFlowScikit-learnLightGBM
Vector Databases
QdrantFAISSPinecone
Cloud Platforms
AWSMicrosoft Azure
Databases
PostgreSQLMongoDBElasticsearch
DevOps & MLOps
DockerKubernetesMLflowApache Airflow
Visualization
Power BIGrafana
Selected projects
Technologies: Python, LangChain, OpenAI API, Qdrant, FastAPI
- Developed an AI assistant for cybersecurity knowledge retrieval.
- Implemented Retrieval-Augmented Generation for threat analysis.
- Integrated semantic search using Qdrant vector database.
- Built secure REST APIs for SOC platforms.
- Optimized prompts for incident investigation.
- Reduced analyst research time through AI automation.
Technologies: Python, LightGBM, Pandas, PostgreSQL, AWS
- Built predictive models for customer financial insights.
- Performed feature engineering using transactional data.
- Developed automated model training workflows.
- Improved customer segmentation accuracy.
- Created APIs for real-time prediction services.
- Delivered executive dashboards for business teams.
Technologies: Python, PyTorch, OpenCV, Docker
- Developed deep learning models for medical image analysis.
- Implemented CNN architectures for image classification.
- Optimized inference performance for production deployment.
- Containerized AI services using Docker.
- Integrated inference APIs with hospital systems.
- Improved diagnostic workflow efficiency.
Technologies: Python, TensorFlow, FastAPI, Redis
- Designed AI models for dynamic product pricing.
- Analyzed customer demand and competitor trends.
- Built scalable pricing APIs.
- Automated model retraining pipelines.
- Improved pricing decisions using predictive analytics.
- Enhanced revenue optimization.
Ways of working
LeadershipAnalytical ThinkingCommunicationCollaborationProblem SolvingAdaptability
Certifications
- Microsoft Certified: Azure AI Engineer Associate
- AWS Certified AI Practitioner
- Google Cloud Professional Machine Learning Engineer
- DeepLearning.AI Machine Learning Specialization
Education
Bachelor of Technology in Computer Science Engineering
Manipal University Jaipur
Achievements
- Successfully delivered over 20 enterprise AI initiatives.
- Improved model accuracy through advanced feature engineering techniques.
- Developed reusable AI services for multiple business domains.
- Reduced deployment effort using automated MLOps pipelines.
- Recognized for driving AI innovation across cross-functional teams.
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