Certifications on the Horizon
- Oracle Cloud Infrastructure 2025 Certified Data Science Professional (Certified)
- Oracle AI Vector Search Professional (Certified)
- TensorFlow Developer Certification (Planned)
Building My Future Map
- MLOps Foundations: Model Deployment, Monitoring, Data Pipelines
- Graph Machine Learning (GNNs): Connecting Data Beyond Tables
- Synthetic Data Generation for Smarter Training Models
- Full-Stack AI Engineering
- Mastering MCP (Model Context Protocol)
- Advancing Agentic Systems: CrewAI, Semantic Kernel, LangGraph Experiments
Active Explorations
- Unlocking Potential with LLM Agents + Advanced LLM Agents + Agentic AI: MOOCs, UC Berkeley
- AI Agents Advent Calendar - 25 Days Challenge (Dec 2025)
- SQL Advent Calendar - 24 Days Challenge (Dec 2024 & Dec 2025)
- 15 days Summer Party - Pandas & NumPy (Aug 2025)
AI News & Resources
- The Verge - AI
- Hugging Face Blog
- Hugging Face Daily PapersDaily Papers to Read
- IBM Technology
- Latent Space
- The Neuron Daily
- AI News
- Lyft Engineering
- Research Papers
- Weekly Report AI
- The Rundown AI
- DailyDoseofDS
- Nate News
A few trusted sources I follow to stay current in AI.
Blog Posts / Articles
Meet Our Pet’s Human Twin: Behind the AI Trend
Explore how multimodal AI, diffusion models, vector similarity and more come together to reimagine pets as humans. A viral AI trend meets deep tech: embedding math, semantic search, personality mapping, and bias reflections.
LinkedIn Pulse
Build with AI – Google Cloud NYC
Explored Gemini 2.5 and Google’s Agent Development Kit (ADK) to build modular agents, deploy via containers, implement CI/CD, and orchestrate multi-agent workflows (MCP + A2A) using LangGraph and LangChain.
Case Study: InstaVibe — an AI-enhanced social event platform tackling engagement gaps. Designed agents to automate interest discovery, activity research, and group coordination, boosting platform stickiness through personalized AI assistance alongside Googlers.
NYC x vLLM | AMD | IBM | Meta (PyTorch) | Red Hat
Technical meetup focused on optimizing LLM inference at scale. Gained insights into vLLM, torch.compile, Mamba, AMD hardware acceleration, and cutting-edge techniques like KV caching, quantization (FP8/FP16), and paged attention. Connected with engineers from Meta, IBM, AMD, and the Red Hat team.
Fabric Analyst in a Day – Microsoft NY x Ventagium Data Consulting
Explored concepts and hands-on labs on OneLake, Delta tables, Data Factory, Power BI, and end-to-end Microsoft Fabric workflows with Ventagium.
Google Build With AI NYC
Explored multi-agent systems, Vertex AI apps, and built an AI teaching assistant alongside Googlers.
Snowflake Meetup
Dived into the modern data stack, AI-ready pipelines, and cloud-scale architecture discussions.
Whiteboard Brainstorms
Momentum Meter
Endlessly curious. I’d rather ship it, shape it, sharpen it, and keep iterating than wait for perfect while learning as I go.
Fueling me lately: Exploring GenAI ideas, staying consistent, and building tiny experiments that compound over time.