Engineering next-generation AI agents & multi-agent systems.
AI Engineer & Gen AI Developer specializing in AI agents, RAG systems, and custom computer vision.
AI Services & Solutions.
Tailored agentic workflows, custom RAG pipelines, and vision models built to automate business processes.
Shipped AI Solutions.
A selection of production-grade AI agents, RAG workflows, and custom machine learning systems built for clients.
Autonomous Multi-Agent CRM Automator
LangGraph-powered AI agents automating client communications and task delegation.
The deep learning toolbox.
Frameworks, models, and ops I use daily — calibrated by years of training, debugging and shipping.
Deep Learning & Transformers
3 skills- PyTorch95%
- Hugging Face90%
- TensorFlow80%
Computer Vision & ViTs
3 skills- Object Detection & YOLO93%
- Vision Transformers92%
- Image Segmentation88%
Generative AI & Agents
7 skills- LangGraph95%
- LangChain95%
- RAG Pipelines92%
- Vector DBs (Pinecone/Chroma)92%
- Model Context Protocol (MCP)90%
- CrewAI / Autogen88%
- LLM Fine-tuning85%
Programming Languages
2 skills- Python96%
- TypeScript86%
Tools & Ops
3 skills- FastAPI92%
- Docker88%
- Weights & Biases82%
Cloud & Deployment
1 skill- AWS82%
Web Integration
1 skill- Next.js85%
A timeline of the work.
Roles, programs, and projects where I built and shipped AI solutions.
Providing end-to-end AI agent, RAG, and computer vision services to clients globally on Upwork, Fiverr, and direct contracts.
- Delivered 10+ custom AI solutions saving clients thousands in monthly manual labor costs
- Architected LangGraph agents for automatic lead qualification and HubSpot CRM sync
- Fine-tuned Swin Transformers and YOLOv8 models for real-time edge processing
Built custom multimodal and generative AI applications for commercial partners.
- Developed and integrated vision transformer pipelines for industrial partners
- Led the migration from basic OpenAI APIs to custom open-source LLMs tuned on PyTorch
Master's degree with specialization in Deep Learning, Vision Transformers, and Natural Language Processing.
- Graduated with distinction
- Thesis on self-supervised learning for image classification
Awards & recognition.
Selected highlights — the moments that pushed the work forward.
NVIDIA AI Hackathon Winner
NVIDIA
Won first place for an autonomous drone perception stack.
Top 0.3% Kaggle Competitor
Kaggle
Ranked Master tier across image classification competitions.
Professional credentials.
Industry certifications and credentials that validate my expertise.
Machine Learning Specialization by Andrew Ng
DeepLearning.AI
Successfully completed the Andrew Ng Machine Learning Specialization, gaining hands-on experience in core machine learning concepts including supervised and unsupervised learning, neural networks, model evaluation, and practical AI applications. Developed a strong foundation in building and optimizing machine learning models using industry-standard techniques and workflows.
Deep Learning Specialization by Andrew Ng
DeepLearning.AI
Completed a hands-on DeepLearning.AI course focused on modern AI/ML concepts and practical implementation. Through the course, I strengthened my understanding of core concepts, real-world workflows, and industry-relevant techniques used in building intelligent systems. This learning experience improved my ability to approach AI problems systematically and apply the concepts to practical projects and portfolio work.
Notes from the lab.
Essays on deep learning, research engineering, and the messy reality of training models.
Let's build something intelligent.
Whether it's a research collaboration, a hard CV problem, or a deep learning hire — I'd love to hear about it.