Building practical AI systems, agentic workflows, and applied ML products across aviation, healthcare, and intelligent automation.
This repository is a showcase of projects focused on real system design: LLM applications, retrieval pipelines, evaluation workflows, structured reasoning, and end-to-end AI product development.
An aviation-focused AI assistant built around domain-specific workflows, practical reasoning, and product-oriented system design.
Why it matters: distinct domain positioning, memorable AI + aviation narrative, and strong systems-thinking signal.
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Healthcare AI system centered on intelligent information workflows, structured reasoning, and user-facing utility.
Why it matters: reinforces healthcare AI specialization and shows practical design beyond generic LLM demos.
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Reinforcement learning from human feedback simulation using a DistilBERT reward model and PPO with KL regularization.
Why it matters: demonstrates modern alignment-aware ML thinking, reward modeling, and a deeper technical range than standard ML portfolio work.
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Memory-aware agent workflow for structured reasoning, orchestration, and multi-step decision flow.
Why it matters: highlights current AI systems engineering skills in orchestration, memory, and agent architecture.
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Applied AI product for resume improvement, optimization workflows, and user-centered automation.
Why it matters: practical, easy to understand, and directly relevant to real-world AI product building.
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- Agentic AI systems and workflow orchestration
- Retrieval-augmented generation (RAG) and LLM applications
- Evaluation pipelines, benchmarking, and practical model analysis
- Healthcare AI and aviation AI
- Full-stack product thinking for deployable AI tools
Programming Languages: Python, SQL, Java, R, C++ • Databases: PostgreSQL, SQL Server, DuckDB, MongoDB, CAMS ERP, Jenzabar, Planisware • Data & BI: Power BI, Tableau, Excel (Advanced), Visio • Platforms: AWS, Azure, SharePoint, Salesforce • Tools: Git/GitHub, PowerShell, DevOps, Agile/Scrum, Python-dotenv • Certifications: Google Data Analytics, Google IT, ISC2 Cybersecurity, AWS Cloud Foundations • Languages: English, Hindi, Urdu, Punjabi, French
Beyond the flagship projects, this repository includes work in:
- Agentic SQL systems
- LLM evaluation benchmarks
- Recommender systems
- Causal ML
- Financial modeling and simulation
- Optimization and routing systems
- Data apps and applied automation
Representative projects include Agentic SQL Analyst, LLM Evaluation Benchmark, RAG Financial Analyst, Credit Risk Engine, Flight Delay Causal ML, Great Circle Routing, and ILS Glide Path Simulation.
This portfolio is designed to signal one thing clearly: the ability to build useful AI systems end to end.
That includes problem framing, workflow design, retrieval, reasoning, evaluation, and product usability — not just isolated notebook experiments.
- Portfolio: sidhugurveer5.lovable.app
- LinkedIn: linkedin.com/in/sidhu-gurveer
- Email: sidhugurveer5@gmail.com
Open to roles in AI Engineering, ML Engineering, Full-Stack AI, Healthcare AI, and Aviation AI.