Helping you navigate the AI tool landscape to find the perfect solutions for your unique needs.
My journey from business to AI
Late 2022, while navigating my MBA, I discovered something extraordinary in ChatGPT. As a marketer, I was stunned—not just by a helpful AI, but by its uncanny ability to predict my next words. What others saw as a clever tool, I recognized as a revolutionary copywriting system that would transform how we produce and consume content. My business background revealed a perspective many technologists missed: this wasn't just impressive tech—it was about to reshape entire industries.
For years I'd wondered how our minds transform random thoughts into coherent decisions. Now I was witnessing a mathematical model offering glimpses into our cognitive processes—making me feel we were beginning to understand the mechanics of thought itself. Each interaction revealed new depths to what seemed impossible just months before, challenging everything I thought I knew about human-machine capabilities.
The pivotal moment came when I saw the pattern—what began with text was rapidly evolving to audio, then images, and ultimately multimodal intelligence. This wasn't just iterative improvement; it was an exponential expansion of possibilities. I realized we were standing at the threshold of applications once confined to science fiction: systems enabling blind individuals to navigate independently, personalized tools helping people with ADHD remember critical information exactly when needed, and business solutions that could automate previously unimaginable creative tasks.
My mind raced with applications—systems that could assist visually impaired individuals to navigate independently, personalized tools for people with ADHD to receive perfectly timed reminders, and businesses automating creative processes that previously required extensive human effort.augmenting our limitations and amplifying our strengths. The real magic wasn't in replacing human creativity but in removing barriers to its expression. This technology could democratize capabilities once reserved for specialized experts, unlocking human potential in unprecedented ways.
What started as curiosity evolved into obsession. I realized my business background wasn't a disadvantage it was exactly what was needed: someone who could bridge technical capabilities with practical applications. I quickly immersed myself in developing these systems and building agents that could actually get things done. Today, I translate AI potential into tangible business value, turning theoretical possibilities into practical solutions that deliver measurable results.
August 2024 - Present
I CONSTANTLY TRY TO IMPROVE
Passionate about exploring emerging technologies and frameworks to build scalable, efficient solutions. Always learning, always improving.
My core qualities that drive success in every AI solution I deliver
Approaching AI challenges with optimism and a solutions-oriented mindset, transforming obstacles into opportunities for innovation.
Driven by deep enthusiasm for AI technology that fuels continuous learning and delivers excellence in every project I undertake.
Setting bold goals and persistently pursuing advancements that push the boundaries of what's possible with AI solutions.
Constantly exploring creative approaches to leverage AI and automation, turning complex business challenges into elegant solutions.
Blending AI knowledge with practical programming skills to build intelligent systems that deliver measurable business impact.
Maintaining exceptional satisfaction rates by translating technical concepts into clear value propositions for stakeholders.
A selection of work I'm involved in, from active development and experiments to contributions and forks.
Building an AI research agent designed to assist users throughout their research paper reading journey, enhancing comprehension and discovery.
Integrating and testing various Multi-Context Prompting (MCP) servers (like Windsurf, Cline) within custom AI IDEs and desktop applications.
Experimenting with the OpenAI Agents SDK to understand and build autonomous agent capabilities.
Evaluating and testing different large language model inference libraries like vLLM and Nvidia TensorRT-LLM for performance and usability.
Utilizing Bolt.new (a rapid app development tool) in conjunction with Ollama (for local model execution) to prototype small AI-powered applications.
Exploring the Phidata framework to build AI agents equipped with long-term memory, contextual knowledge access, and function-calling abilities.
Insights on AI implementation, marketing automation, and technology innovation.
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Prompt engineering opened the door, but deep LLM understanding transformed my workflow. Explore how going beyond prompts leads to innovation.
Integrating AI was daunting—until I adopted MCP. Discover how this standardized protocol simplifies context management and accelerates development.