AI/ML Engineer
Summary
Im an AI/ML engineer and full-stack architect with 5 years building production ML systems and the web platforms that consume them.
I deliver real-time conversational agents, video-avatar pipelines, LLM fine-tuning, combining tools like scikit-learn, Panda, MediaPipe, OpenCV, TensorFlow, PyTorch and RAG/vector search with pragmatic MLOps (SageMaker, Vertex AI, BigQuery ML, MLflow/W&B, CI/CD).
Recent wins include an LLM hiring platform that cut screening time ~70%, sub-300 ms conversational endpoints, and a classroom-grade Sign Language translator (Video to Text Model) and Stock Price Prediction tools using Genetic Algorithm; Just updated my knowledge few months ago by completing an MIT Professional Certificate in Machine Learning and a certificate in Applied Computing from Oregon Tech.
Expectations
In my next role, Im looking for the intersection of cutting-edge AI engineering and real product impact. Ive spent the last few years fine-tuning LLMs, deploying real-time conversational models, and developing multimodal systems like ASL translators and video avatars. What excites me now is the opportunity to embed those skills into a fast-growing product company where AI isnt just a feature but a core driver of customer value.
I want to work with a team that values practical AIdelivering features with real ROI for userswhile still encouraging innovation and experimentation. Ideally, its a hybrid role that blends ML systems design, MLOps, and full-stack integration, so I can contribute across the stack and help ship features faster. And just as important, Im looking for a place that supports growth, collaboration, and learningso I can stay sharp, keep shipping, and keep scaling impact.
Employment Preferences
Relocation destinations:
- San Francisco, California, United States
- San Jose, California, United States
- Los Angeles, California, United States
- Seattle, Washington, United States
- Portland, Oregon, United States
- Los Angeles, California, United States
Expected Base Salary
**0,000 USD
Expected Total Compensation
**0,000 USD
Expected Hourly Rate
**0 USD/hr
Experience
Total Professional Experience
Startup Experience
Big-Tech Companies
Enterprise Experience
Skills
- AI
- ML Engineer
- Machine Learning Engineer
- Deep Learning
- Artificial Intelligence
- Generative AI
- Large Language Models
- LLM
- GPT
- Bedrock
- Llama-2
- Llama-3
- Fine-tuning
- RAG
- Retrieval Augmented Generation
- Vector Databases
- FAISS
- Pinecone
- ChromaDB
- Real-time Conversational Agents
- Real-time Video Avatars
- ASL Translation
- ASL Text-to-Video
- Multimodal AI
- Time Series Forecasting
- DNA Evolution Sequences
- Computer Vision
- MediaPipe
- OpenCV
- PyTorch
- TensorFlow
- Scikit-learn
- Python
- Node.js
- JavaScript
- TypeScript
- React
- REST APIs
- GraphQL
- SageMaker
- AWS SageMaker
- GCP Vertex AI
- BigQuery ML
- MLOps
- MLflow
- Weights
- Biases
- Docker
- Kubernetes
- GitHub Actions
- CI
- CD
- Cloud AI
- AWS
- GCP
- Azure
- Postgres
- MongoDB
- Kafka
- S3
- Athena
- Data Engineering
- Applied Computing
- MIT Machine Learning Certificate
- Oregon Institute
- Technology
- Edge AI
- Low Latency AI
- GPU Inference
- NVIDIA T4
- DevOps
- Full-Stack Engineer
- SaaS Architect
- Startup Founder
- Technical Leader
- AI Product Development
- Automation
- Natural Language Processing
- NLP
- Speech Recognition
- TTS
- VAD
- Face Generation
- GAN
- NeRF
- Document AI
- OCR
- Image Handling
- E-Commerce AI
- Hiring Platform AI
- Accessibility AI
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