About page: Add testimonials and improve wording.

content/about/index.md

@@ -6,7 +6,7 @@ cover:
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   image: profile.jpg
   alt: Yanir Seroussi's profile picture
-summary: About Yanir Seroussi, a hands-on data tech lead with over a decade of experience.
+summary: About Yanir Seroussi, a hands-on data tech lead with over a decade of experience. Yanir helps climate & nature tech startups ship data-intensive solutions.
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@@ -22,7 +22,29 @@ My experience and formal education fall under three key areas:
 - data science / engineering (10+ years; Artificial Intelligence PhD)
 - tech leadership (5+ years with startups and scaleups)
 
-**⚡ New!** These days, I provide independent consulting services around Data & AI, focusing on startups and scaleups in the climate tech and nature-positive sector. See [my consulting page](/consult/) for details, or head directly to [my contact page](/contact/) if you have a problem you want to discuss.
+**🐳 My current mission is to help climate and nature tech startups grow and scale successfully with Data/AI/ML.** See [my consulting page](/consult/) for details, or head directly to [my contact page](/contact/) if you have a problem you want to discuss.
+
+## Testimonials
+
+Here are some key quotes from people I've worked with, including leaders at big tech companies, startups, and scaleups. See [the Recommendations section of my LinkedIn profile](https://www.linkedin.com/in/yanirseroussi/details/recommendations/) for attribution and further details.
+
+> Yanir is that rare data/AI practitioner who combines deep experience in data science with breadth in software engineering and experience working with marketing and product teams. This vastly increases the success rate of data/AI projects that he's involved with.
+
+> Yanir has the rare qualities of being (a) very good with data and (b) very able to express his opinions -- especially when he doesn't agree with how something is being done. His unwavering focus on the quality and efficiency of the development process has transformed the platform and team itself.
+
+> Yanir is an exceptional data scientist with the rare combination of data science expertise and strong software engineering principles. He is a strategic thinker and problem solver, adept at identifying root causes and implementing engineering solutions.
+
+> I'd recommend Yanir any day if you are looking for someone who can execute thoughtfully and leave no stone unturned.
+
+> Yanir's proactivity, creativity and high quality of work have been invaluable to our organisation. I strongly recommend Yanir to anyone looking to implement data & AI projects.
+
+> In addition to taking (and excelling at) ownership of the entire data segment of the company, he also accepted key responsibilities within the vision setting, goal setting, and fund raising parts of the business.
+
+> He is the single most talented person I've had the opportunity to work with in my nearly 15 years in Data/ML.
+
+> Yanir is a fantastic engineer.
+
+> Yanir practically s**** beautiful code.
 
 ## Past work examples
 
@@ -37,6 +59,6 @@ Let's go deeper with a few highlights from my work:
 
 One of the downsides of working in an ever-changing field and accumulating a broad range of experiences is that it's hard to summarise with a concise title. For example, being a data scientist [used to imply having strong software engineering skills](https://yanirseroussi.com/2014/10/23/what-is-data-science/), but [this has changed over time](https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/). It's a similar story with the decline and rise of artificial intelligence. In an ideal world, I'd be able to let my work speak for itself. In our world, people search for keywords and have different understandings of concepts, e.g., they may want "an AI solution" to a problem that can be solved with deterministic software engineering. Or they may believe they need an AI Engineer rather than a Data Scientist, when a few years ago it'd have been the opposite (as I'm writing this in 2023, you could replace the words _data science_ with _artificial intelligence_ across my historical posts and much of what I wrote would still hold).
 
-Anyway, whether you're trying to navigate Data & AI terminology or solve specific problems, I can probably help. As noted in [my consulting page](/consult/), my aim is to get to the root of business problems and iteratively implement pragmatic solutions. The taxonomy of Data & AI professionals is only relevant if I'm helping you hire a team.
+Anyway, whether you're trying to navigate Data & AI terminology or solve specific problems, I can probably help. My aim is to get to the root of business problems and iteratively implement pragmatic solutions. The taxonomy of Data & AI professionals is only relevant if I'm helping you hire a team.
 
 {{< figure src="mlops-roles.png" width="500" height="433" caption="A subset of roles I've performed in one way or another.<br>Source: [Machine Learning Operations (MLOps): Overview, Definition, and Architecture](https://ieeexplore.ieee.org/document/10081336)." alt="Venn diagram showing different MLOps-related roles: Data Scientist, ML/MLOps Engineer, Backend Engineer, Data Engineer, DevOps Engineer, and Software Engineer" >}}