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i'm an AI/ML engineer based in the US, currently building production AI systems at Reallytics.ai and Verticiti. most of my work revolves around getting large language models to do useful things in production — not toy demos, actual systems handling real traffic. before this, i spent years at Afiniti and Cloud Kinetics doing the grunt work of making ML models reliable at scale. fraud detection, voice analytics, enterprise search — the kind of stuff that breaks at 3am and you have to fix. what keeps me going: that moment when an AI agent you built actually solves a problem you didn't explicitly program it for. still hits different every time. right now i'm deep into:
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Agentic AI Workflows — Production AI Agents |
RAG Enterprise Search — Retrieval-Augmented Generation |
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Voice AI Platform — Real-Time Speech AI |
LLM Fine-Tuning (LoRA/QLoRA) — Parameter-Efficient Fine-Tuning |
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RLHF LLM Optimization — Reinforcement Learning from Human Feedback |
Sentinel Fraud Detection — Explainable AI |
i'm not going to pretend i use everything equally. here's what i actually reach for day-to-day:
the full picture (click to expand)
| daily drivers | Python, PyTorch, FastAPI, Docker, Git, VS Code |
| LLM & GenAI | LangChain, LlamaIndex, HuggingFace Transformers, vLLM, PEFT/LoRA/QLoRA |
| vector & data | FAISS, ChromaDB, Pinecone, PostgreSQL, MongoDB, Redis, Kafka, Elasticsearch |
| cloud & MLOps | AWS (SageMaker, Bedrock, Lambda, ECS), GCP Vertex AI, Azure OpenAI |
| ML frameworks | TensorFlow, scikit-learn, XGBoost, LightGBM, ONNX |
| infrastructure | Kubernetes, Terraform, GitHub Actions, MLflow, Weights & Biases |
i commit a lot. sometimes it's good code, sometimes it's "fix: typo in typo fix".
i publish research notes daily — not polished papers, just honest writeups of what i'm learning and building. think of it as a public lab notebook for generative AI, LLM fine-tuning, RAG, and agentic systems.
Real World Applications Of Reinforcement Learning
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Explainable Ai For Deep Learning Models
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Explainable Ai For Time Series Forecasting
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📝 Opened issue [Feature] Token-level cost attribution for multi-model routi in BerriAI/litellm (2026-04-18)
💬 Commented on Integration proposal: Cryptographic audit trail validator wi in guardrails-ai/guardrails (2026-04-18)
💬 Commented on bug: cog build fails with externally-managed-environment err in replicate/cog (2026-04-18)
💬 Commented on TypeError: The current model class (MiniMindForCausalLM) is in zai-org/ChatGLM-6B (2026-04-18)
💬 Commented on Tool quality resource: Clarvia MCP for evaluating LLM tool i in guidance-ai/guidance (2026-04-18)
💬 Commented on qwen3.6模型在NPU上的支持 in hiyouga/LlamaFactory (2026-04-18)
💬 Commented on Error: Claude 3.5 Sonnet (внешняя) - 404 in continuedev/continue (2026-04-18)
💬 Commented on KeyError in Dataset.list_datasets() in clearml/clearml (2026-04-18)
topics discovered daily by a multi-model AI research engine (GPT-4.1, Grok-3, DeepSeek R1, Llama-4)
🔬 Federated Learning for Edge AI
🔬 Real-World Applications of Reinforcement Learning
🔬 Explainable AI for Deep Learning Models
🔬 Graph Neural Networks for Recommendation Systems
🔬 Real-time Data Quality Monitoring for ML Pipelines
🔬 Explainable AI for Time Series Forecasting
📌 Prompt Version Control & A/B Testing Registry (Python) (2026-04-17)
📌 Configuration-Driven ML Pipeline Runner with Validation (Python) (2026-04-16)
📌 Token Budget Manager — LLM Context Window Optimization (Python) (2026-04-15)
🤖 Profile auto-updated on 2026-04-18 19:02 UTC


