Just a Human In The Loop
- Building autonomous agents so they can take over the boring tasks (and maybe the world someday)
- Crafting AI workflows that pretend to understand what I actually want
- Fine-tuning LLMs — because the base model clearly didn't get my sarcasm
- Using MCP and RAG to confuse both machines and humans alike
- Working on an autonomous stock trading environment — teaching AI to lose money faster than I can
- Generative AI Frameworks: LangChain, HuggingFace — teaching machines to talk so they can ignore me better
- Agentic AI Frameworks: LangGraph, OpenAI Agents SDK, CrewAI, AutoGen, MCP — giving AI just enough freedom to cause chaos
- LLM Engineering: RAG, Fine-Tuning, Context Engineering — because apparently, telling AI what I want is rocket science
- LLMOps / AIOps — “trust me, it scales”
- Machine Learning & Deep Learning Algorithms — the wizardry behind all my AI "accidents"
- Natural Language Processing — making computers pretend they get human nonsense
- Data Structures & Algorithms in C++ — because sometimes you need to make things needlessly complicated
- Almost all core Engineering subjects — a lifetime subscription to "I survived engineering school" therapy
- Built a RAG-based chatbot deployed on my portfolio site to answer recruiters' and stalkers' questions — and promptly snitch if they get weird
- Created a Multi-Agent Deep Research System capable of parallel information retrieval, reflection-based reasoning, and automated generation of structured research reports with improved coherence and depth. — because one AI just wasn't enough chaos
- Assembled a multi-agent AI engineering team with a lead, frontend, backend, and tester — all working tirelessly to do my bidding
- Fine-Tuned Llama-3.1-8B for predicting Product prices by their descriptions, with Mean Error of $47, outperforming traditional ML techniques for the same.
- Built a Self-Organizing AI Idea Refinement Ecosystem - an army of AI agents arguing with each other until they ‘accidentally’ invent something smarter than me. Zero human intervention, maximum existential dread.
- Developed an AI agent that spawns other AI agents who argue and collaborate to optimize ideas — basically my own little AI soap opera
- Built an autonomous SDR that writes and sends cold emails — so I can ghost people professionally
- Completed a hell lot of toy ML and deep learning projects — but don't let that fool you, I've got concepts down cold
- I want to do something for social good — because saving the world looks better on LinkedIn
- Work with experienced pros in AI and Data Science — so I can pretend I know what I'm doing
- And eventually, create commercial projects — because apparently, AI skills pay the bills too