AI/ML engineering student with hands-on experience in fine-tuning LLMs, building multi-agent reasoning systems, and deploying scalable data pipelines. Skilled in Python, PyTorch, TensorFlow, and LangGraph.
<p>Fine-tuned LLMs for domain-specific tasks, improving contextual accuracy by 15%., Deployed Crawl4AI pipelines, reducing preprocessing time by 30%., Designed multi-node reasoning flows with LangGraph, enabling structured logic chains for complex queries.</p>
<p>Developed domain-adaptive LLM solutions through full-cycle experimentation with advanced tooling and data workflows.<br>
Fine-tuned LLMs for domain-specific tasks, improving contextual accuracy by 15%.<br>
Deployed Crawl4AI pipelines, reducing preprocessing time by 30%.<br>
Designed multi-node reasoning flows with LangGraph, enabling structured logic chains for complex queries.</p>
<ol><li>Dynamic Spatiotemporal Crime Analysis Built predictive models on Toronto crime dataset using DBSCAN clustering and LSTM/TCN architectures, achieving accurate hotspot forecasting for public safety planning.</li><li>Lecture Notes Generator Automated structured note creation from recordings using Transformers, Hugging Face, CLIP, and Groq, improving study efficiency by 40% in pilot tests.</li><li>Agentic AI Web Research Agent Developed autonomous multi‑agent system with LangGraph and NLP, enabling scalable web research and summarization with measurable accuracy gains.</li><li>PEStivity: Created an arcade game site using react and tailwind along with HTML and JS.</li><li>Blackjack: Developed a multiplayer Blackjack game using Python Socket Programming.</li><li>Adaptive project management using Retrieval Augmented Generation.</li></ol><p></p>
The AI-first Recruitment Operating System that unifies and automates the entire hiring lifecycle for modern enterprises worldwide.
Dr Job FZ LLC. 2026 © All Rights Reserved
