Agentic AI & Applied Machine Learning Solutions
I offer specialized AI services focused on building autonomous, goal-driven Agentic AI systems, advanced Computer Vision pipelines, and applied Machine Learning models. My expertise lies in architecting AI agents capable of dynamic reasoning, environment interaction, and multi-step task execution — powered by cutting-edge CV, NLP, and neural network techniques.
I develop end-to-end solutions, from data preprocessing and model training to deployment and continuous optimization. Whether it’s multi-agent collaboration, object detection systems, real-time language processing, or reinforcement learning loops, I work with scalable architectures ready for production environments.
Technical Capabilities:
Agentic AI Systems: Multi-agent setups, dynamic goal management, prompt chaining, and tool-augmented agents using frameworks like LangChain & OpenAI APIs
Computer Vision: Model development for object detection (YOLO, SSD), segmentation (Mask R-CNN), pose estimation, and real-time inference on edge devices
Natural Language Processing: Custom LLM integration, semantic search, RAG pipelines, text classification, and chatbot development
Applied Machine Learning: Classical ML (SVM, XGBoost), Deep Learning (CNN, RNN, Transformers), reinforcement learning
Deployment & Optimization: Model serving via FastAPI, TensorFlow Serving, or TorchServe; containerization with Docker; scalable cloud deployment on GCP/AWS
System Integration: API-driven services, backend integration, autonomous agent orchestration
What Sets Me Apart:
Hands-on with both research and production-level AI projects
Focus on modular, scalable architectures for continuous deployment and model updates
Experienced with agent frameworks, LLM APIs, and open-source CV/NLP toolkits
Technical clarity, ensuring seamless integration with your existing infrastructure