Expert in scientific and business informatics across value chains in Pharma, Biotech, Finance, Trading from R&D through Production Manufacturing. Deep knowledge in R&D, software engineering, data and records management, and IT systems design and support. The Godfather of Electronic Laboratory Notebooks for industrial applications.
Passionate about applying leading-edge technologies for intelligent data discovery and collection, analytics, visualization, and reporting in business and industrial environments. Technical expertise encompass full SDLC skills from business and systems analysis, design, programming, debugging, deployment, support, and training. Favorite languages are Python, SQL, and web languages (HTML, CSS, Javascript) on Windows, Linux, Docker, and Azure/AWS/GCP Cloud environments (as required).
🏗️ Architecture First → Every good system starts with a solid blueprint before a single line of code.
⚡ Simplicity Wins → The best solution is the one your team can understand at 3 AM.
📐 Measure & Validate → To specify, verify, and validate are non-negotiable. Engineer, Don't Vibe Code.
🤝 Teams > Individuals → A CTO's real output is the team's velocity, not their own commits.
🔄 Iterate Relentlessly → Ship fast, learn faster. Perfect is the enemy of production.
Actively research and develop systems and tools to harness Generative AI for regulated applications in finance and biopharma, Agentic Systems Engineering, Prompt & Context engineering, RAG systems and intelligent workflow chaining applications using Large Language Models.
I have done dozens of business analysis, and systems and vendor selection projects for large and small enterprises. I have experience with 100s of Python packages for developing advanced AI applications, predictive analytics, ML, deep learning, and web-based systems.
My long-time passion is hands-on transfer of problem-solving "know-how" and tools, with the main goal of training people to become auto-didactic. I spent 30+ years delivering custom training curricula, workshops, and short courses, and I still "teach" when needed. However, I get the greatest satisfaction when I train others to solve their own hard problems faster. Transferring auto-didact skills accelerates people's progress in life forever.
Contact me to engage our deepest skills on your projects.
In my available time, I am actively applying State Of The Art (SOTA) Generative AI and deep learning tools and packages. There are still too many steep mountains to climb before the masses can apply AI technologies. TOO MUCH AI NOISE -- and NOT ENOUGH SIGNAL! People must discover first-hand what really works. The baseline of AI wisdom must be raised high above popular media hype. AI technology is advancing FAST toward "AGI". First it was the pitter patter of baby steps, but now the gallop has started, with leapfrogs every other week. Major breakthroughs in 2024 within months will cause seismic shifts in the balance of power between humans and AI agents.
I am developing the "7D Agile Agentic AI System" with the Autonomous Intelligent Agent Team Builders "Active Guide". Bleeding-edge tools appear weekly, far too fast for regular humans to consume in a normal workmonth. We need intelligent real-time knowledge and skills acquisition tools that simply explain and demonstrate how to use and integrate new tools, "on demand" and "just-in-time". We must ignite sparks of curiosity into burning passions, and convert explosive AI growth into sustainable innovations, by developing AI applications that will improve humanity.
I have a strong commitment for individuals to run high-performing "democratized" LOCAL AI systems -- that is 100% CLOUD LOCAL -- without requiring ANY online cloud platforms. LOCAL AI systems must not be considered "edge" nodes on the global internet. What people call "The Cloud" is a few Big Tech cloud platform vendors WITH COMMON GOALS TO INSOURCE AND CONTROL AS MANY TECH JOBS, AND AS MUCH AI POWER AS POSSIBLE. The AI Arms race is to beat or consume competitors anywhere they arise. The risk is that Big Tech cloud companies are steadily and substantially in-sourcing jobs to their own corporations, leaving millions of citizens without meaningful work.
Citizens must re-power, re-source, and revert "The Cloud" back to "The Edge", or entire segments of white, brown, and blue collar workers will be marginalized by 2030. Once cloud companies "OWN" jobs, they can and will be placed jobs anywhere that quality labor is cheapest and highest quality. AI agents are an obvious endpoint to "in-source" jobs once cloud companies own them. AI agents require only electricity to work. AI agents don't need salaries, nutrition, nurturing, sleep, exercise, sex, emotional support, vacations, or other "human overhead". The argument that AI cannot produce the same high-level of quality as very intelligent and compassionate humans is simply wrong. AI already (often) produces higher quality and consistency for many tasks and work products. AI systems quality and sophistication are improving must faster than most people can comprehend. From the 2000s the re-engineering waves instigated by Mike Hammer and implemented by SAP moved millions of US jobs off-shore. In the mid-2020s, more jobs will move off-ground to the cloud, and in the early 2030s, many jobs will disappear to AI agents and robots. Humans left on "The Edge" will be marginalized. The Cloud moves economic power and control away from individuals and gives it to Big Tech. White collar IT managers, CIOs, CTOs, CDOs beware! ... AI is coming for your job much sooner than you think. Local, democractized AI must bring power back to the people.
Individuals must ensure that AI stays democratized and runs equally well locally -- local-first -- and move online when absolutely required to train AI models, then back to local devices. Distributed Tech (local clouds) must prevail in the best interests of individuals.
***Remember "Human Lives Matter" (HLM)! Get out of the clouds and put jobs back on Earth. Cloud computing is a tool, not the endpoint for society. ***
https://www.linkedin.com/in/rich-lysakowski-phd
Some of my favorite phrases are:
- "Talk is cheap, show me the code" ~ Linus Torvalds
- "Ship to Learn" ~ a GitHub Core Value
- "Always leave a place better than you found it." - Unknown
- "Everyone you meet is fighting a battle you know nothing about. Be kind. Always." ~ Robin Williams
{"Author": "Rich Lysakowski", "Updated": "2024.06.22" }