Professional Overview
Self-driven AI/ML Engineer with hands-on experience building real-world AI solutions, including production-level automation bots actively used by clients and end-users. Proficient in Python, PyTorch, TensorFlow, LangChain, and modern LLM frameworks, with practical expertise in RAG systems, conversational AI, browser automation, and NLP pipelines.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Designed and delivered a production-grade Facebook Marketplace automation bot.
- Built and maintained AI-driven automation scripts to streamline workflows.
- Developed multiple web scraping and data extraction pipelines.
- Independently developed and iterated on multiple RAG systems & NLP pipelines.
Key Achievements / KPIs
- Built a robust browser automation bot that fully automates listing process.
- Deployed across 20+ client machines handling hundreds of daily listings.
- Engineered with modular architecture for maintainability and resilience.
- Built multiple end-to-end RAG systems capable of answering queries accurately.
Education
Field of Study: Computer Science
Areas of Expertise
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
AI Business, Marketing & Strategy
Apply AI to marketing automation, content generation, customer segmentation, and revenue growth strategies.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
