AI Engineer | AI Agents, Internal Tools & SaaS Development | 30+ projects | Remote

LLM-Based Application Development
Expertise in designing and deploying production-grade applications using large language models such as GPT, Gemini, Claude, Llama, and Mistral, including prompt engineering, fine-tuning, and RAG architectures for real-world business use cases.

AI/ML Frameworks & Tooling
Proficiency with leading AI and machine learning frameworks including LangChain, Hugging Face, TensorFlow, PyTorch, Keras, Scikit-learn, and the OpenAI API, enabling end-to-end model development and integration.

Backend Development & API Engineering
Strong command of Python at expert level, combined with frameworks such as Django, FastAPI, and Flask, enabling the development of robust, scalable backend systems and RESTful APIs for AI-powered applications.

Vector Databases
Hands-on experience with vector database solutions including Pinecone, FAISS, and ChromaDB for building semantic search and retrieval-augmented generation systems at scale.

NLP & Computer Vision
Application of natural language processing tools such as SpaCy and NLTK, as well as computer vision capabilities via OpenCV and speech-to-text processing using Whisper (STT).

Cloud & DevOps
Deployment and management of AI solutions on cloud platforms including AWS and DigitalOcean, with containerization via Docker and CI/CD pipeline integration for reliable production delivery.

Databases
Experience with relational and cloud-native databases including PostgreSQL, Supabase, and Firebase for persistent data storage in AI-driven applications.

Data Extraction & Web Scraping
Building large-scale data extraction and enrichment pipelines using Pandas, Selenium, Scrapy, and Beautiful Soup to process unstructured documents and web data at scale.

Multimodal AI Systems
Development of multimodal AI applications supporting text, voice, and image inputs, including WhatsApp-native conversational interfaces and AI-powered content generation tools.