I'm an AI/ML Engineer and Data Scientist passionate about building practical, scalable AI solutions that solve real-world business problems.
My focus is on moving beyond prototypes to build, integrate, evaluate, and deploy production-ready AI applications.
- 🤖 Building LLM applications, RAG pipelines, and AI agents
- 🚀 Exploring Forward Deployed Engineering (FDE) and end-to-end product development
- 🧩 Connecting AI models with APIs, databases, business workflows, and existing systems
- 🛠️ Developing applications using Python, FastAPI, LangChain, and LangGraph
- ☁️ Exploring cloud deployment, MLOps, observability, and AI application security
- 📊 Applying machine learning, NLP, and deep learning to practical business problems
- 🌱 Continuously learning, experimenting, and sharing hands-on engineering projects
💡 My goal: Turn complex business problems into reliable, measurable, production-ready AI solutions.
| Area | Focus |
|---|---|
| Forward Deployed Engineering | Problem discovery, solution delivery, integrations, end-to-end ownership |
| Generative AI | LLM applications, prompt engineering, structured outputs |
| Agentic AI | Tool calling, agent workflows, LangGraph, multi-agent systems |
| Retrieval-Augmented Generation | Document ingestion, embeddings, vector search, reranking, evaluation |
| Machine Learning | Classification, regression, feature engineering, model evaluation |
| Backend Engineering | Python, FastAPI, REST APIs, database integration |
| MLOps & LLMOps | MLflow, Langfuse, monitoring, tracing, evaluation, deployment |
| Cloud & Production AI | AWS, Docker, CI/CD, scalable AI application architecture |
| AI Security | Prompt injection defense, PII protection, guardrails, access control |
I am expanding my engineering focus toward building complete, customer-oriented solutions that bridge business requirements and production software.
My FDE learning and project work emphasizes:
- 🔍 Understanding business problems and translating requirements into technical solutions
- 🏗️ Designing end-to-end AI application architectures
- 🔌 Integrating APIs, databases, external services, and AI models
- ⚙️ Building backend services and automating business workflows
- 🧪 Testing, debugging, and validating real-world use cases
- 🚢 Containerizing, deploying, and monitoring applications
- 📈 Evaluating outcomes and iterating based on feedback
Explore my FDE-related repositories:
👉 Browse my GitHub repositories
Building AI applications that use tools, structured workflows, and contextual reasoning to complete tasks.
Developing document question-answering systems with ingestion pipelines, embedding models, vector databases, and retrieval evaluation.
Exploring model serving, FastAPI, containerization, experiment tracking, observability, and production deployment.
Working on practical engineering projects that combine application development, integrations, debugging, and deployment.
Python · Scikit-learn · TensorFlow · PyTorch · Pandas · NumPy · Hugging Face · Transformers · LangChain · LangGraph · RAG · LLMs · Vector Databases
FastAPI · Docker · AWS Bedrock · MLflow · Langfuse · CI/CD · Model Serving · LLM Evaluation · Observability
PostgreSQL · MongoDB · FAISS · Pinecone · Milvus · Weaviate · Hugging Face Embeddings · Hybrid Search
2020 Foundations → Python • Data Analysis • Machine Learning
2021 Applied ML → Feature Engineering • NLP • Predictive Modeling
2022 Advanced AI → Deep Learning • Computer Vision
2023 Generative AI → LLMs • Prompt Engineering • RAG
2024 AI Application Dev → LangChain • Agents • Vector Databases
2025 Production AI → MLOps • Model Serving • Deployment
2026 AI + FDE Engineering → Agentic AI • APIs • Integrations • End-to-End Delivery
- Production-ready GenAI and agentic applications
- Reliable and secure RAG systems
- AI-powered workflow automation
- End-to-end applications with robust APIs and database integrations
- Observable, testable, and deployable AI services
- Customer-focused solutions that deliver measurable business value
💬 Interested in AI engineering, Generative AI, Agentic AI, RAG, MLOps, or Forward Deployed Engineering? Let's connect and build something useful.
⭐ Feel free to explore my repositories, share feedback, and collaborate on interesting projects.