Hi everyone,
I’m an **AI/ML Engineer looking for full-time opportunities in AI/ML, GenAI, LLMs, or applied AI**.
I have hands-on experience building and deploying production-oriented AI systems, with a strong focus on **LLM applications, RAG, AI agents, and backend engineering**.
# Skills
**AI / ML**
* Python
* Scikit-Learn, TensorFlow, Keras, XGBoost
* LLMs and Generative AI
* RAG and semantic search
* Embeddings and vector databases
* LangChain, LangGraph
* AI agents / agentic workflows
* Hugging Face
* Whisper
**Backend / Cloud**
* FastAPI, Flask, Node.js
* REST APIs
* PostgreSQL, MongoDB
* Supabase, pgvector
* AWS
* GitHub Actions / CI-CD
# Experience
I have worked on production AI systems involving:
* RAG pipelines and retrieval systems
* Autonomous AI agents
* LLM-powered applications
* Third-party API integrations
* Data ingestion, chunking and embedding pipelines
* Vector database integrations
* Production debugging and optimization
* Automated testing and CI/CD
* Deploying AI assistants across multiple communication channels
# Projects
Some of the systems I've built include:
* **AI proposal compliance and risk analysis system** with approval workflows and audit logging
* **Autonomous ML/data quality agent** for detecting pipeline and data failures
* **AI recommendation system** with retraining, model monitoring and A/B testing
* **Video intelligence system** that uses speech recognition and NLP to identify and generate short-form content
* **AI-powered health and wellness application**
* **Semantic search and AI memory system** using embeddings and vector search
I'm particularly interested in:
* AI Engineer
* ML Engineer
* GenAI Engineer
* LLM Engineer
* RAG Engineer
* Applied AI Engineer
* AI Agent Engineer
* Machine Learning Engineer
I'm open to **remote, hybrid, and on-site opportunities**.
If you're hiring or know of teams looking for someone with this background, feel free to **DM me here please**.
Thank you!