Oxus Finance

Oxus Finance is a complete suite for corporate financial efficiency, from payments to cards and tokenization

Proph3t Capital

Founding Board Member

Venture Capital and Studio for emerging techs

Co-Founder

Investor

Stealth

Co-investment and digital product development with serial investors Gustavo Guedes and Paulo Guedes (former Brazilian Minister of Economy)

Stock Capital

Investor & Advisor

Self Employed

Artificial Intelligence, Web3, Blockchain, and Innovation Keynote Speaker at global conferences and corporate events. 

We help leaders and organizations navigate with humanity in an increasingly machine-dominated world.

Content Writer / Keynote Speaker

CryptoRastas

Advisor

Blockchain Rio

Growing the biggest south america’s Blockchain Event

Chief of Growth

viden.vc

Chief Operating Officer & Partnerships

Investimos no futuro da internet, a web3.

Chief Operating Officer

Ripple

Grant Winner

criando o maior WEB3 VC da América Latina I WEB3 Top Voices 🇧🇷 I 2x Exit

i’m a venture strategist operating at the frontier of Web3 and Artificial General Intelligence (AGI). As founder of Proph3t Capital, I design, invest in, and build ventures that fuse emerging technologies with bold, market-driven execution.

My background blends over a decade of experience across innovation, crypto, venture building, and AI applications. I’ve launched companies from the ground up, scaled brands for global players like AB InBev and Bayer, and led go-to-market strategies for startups and VC funds in Latin America.

Today, I focus on creating and advising ventures at the convergence of decentralization and intelligence.

I believe Web3 and AGI are not just technologies — they are cultural shifts that will reshape how we learn, grow, heal, and transact. My work is dedicated to pushing the boundaries of what’s possible in these domains.

If you’re exploring the edge — of intelligence, autonomy, or decentralization — I’m always open to building what’s next.

Nathan Valadares Ξ

Big Fortune Global 50 company

Research and Exploration:
1) Working on narrow scoped AI/ LLM and Open-Source Semantic Engine to reduce cost and drive profits, improve individual efficiency and save time.
2) I fine tune LLMs and SBERT based Semantic Searching models using NLU, NLP and LRM to improve output.
3) I work on enabling RAG (Retrieval Augmented Generation) to reduce AI hallucinations and improve output accuracy with context from Knowledge Base.
4) I believe in using on-premise Azure Virtual Desktop hosted infra to house small and efficient LLM or AI models that are selected completely based on a narrowed down scope instead of broad and less leveraged capabilities.

Project works:
1) Designing overall Test Strategy for the Data Teams using applications such as Databricks, PowerBI and the Medallion architecture.
2) Performing Functional and Automation testing, using tools and coding languages such as Python, C# and VbScripts.

Software Engineer

● Performed Data Analysis to model and forecast trends using Python (Jupyter notebook on Google Cloud Platform) and libraries such as scikit learn, Seaborn, Matplotlib, pandas, numpy, etc.

Data Science / Machine Learning Intern

Customer Analytics, LLC

●	Performed Data Analysis to model and forecast trends using Python (Jupyter notebook) and libraries such as scikit learn, Seaborn, Matplotlib.   

●	Performed Full Stack Testing including Black Box/White Box / Functional/ GUI Testing, System Testing, Smoke Testing, Regression Testing, BDD, Data Driven Testing and automation scripting, thereby promoting testing in all levels of the software and product development life cycle.     
                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             
●	Performed automation scripting in C# .NET using Selenium using the Nunit and Extent framework by incorporating the best industry practices to perform end to end coverage of automated tests.

●	Campaigned and initiated a culture of automation among the partner’s team (SNHU) by planning, designing and developing customized frameworks and workflows to standardize the automation strategy.

●	Designed and implemented multiple generic utility modules that can be readily integrated into the automation scripts by both the development and the QA teams.

Senior Software Engineer

Infosys

●	Selected among the top 10 best employees out of the 10,000 who competed to work directly under the supervision of the CEO (Vishal Sikka) through the “Infy Star Apprenticeship” program.

●	Developed and executed automation scripting on C# .Net using the Extent and Nunit framework.

●	Presented demonstrations of the results and reported progress to the stakeholders.

●	Partnered with the feature and infrastructure engineering teams at AT&T to ensure that the end to end automation could be enabled.

●	Experienced in working with the DevOps Continuous Integration/Continuous Deployment tools such as the Rally tools, HP Quality Centre.

Software Test Engineer

NTT DATA Americas

●	Performed Functional Testing and Data Validation Testing to ensure good product quality.

●	Developed excellent rapport and communication with the stakeholders to work on ironing out the inconsistencies in the Functional Specification and Business Requirement Documents.

●	Garnered experience under the waterfall model for the full software development lifecycle.

Available Immediately to Join.
Total Experience : 10 years
Description : Data Scientist (LLM NLP NLU LRM - Semantic Searching) + Test Engineer
SDLC/STLC exp: Agile Scrum, V model, Waterfall model.

One of my Python Packages:
https://pypi.org/project/easySemanticSearch/

(Easy Semantic Search based on SBERT and Sentence-Transformers for Quick, easy, multi threaded and efficient.)


•	Language: C# (DotNet), Python 3, VBScript
•	Data Science Environment: Google Cloud Platform, Jupyter Notebook, Google Colaboratory (Colab), VS Code
•	Machine Learning Libraries: Keras-RL, TensorFlow, PyTorch, Sentence-Transformers
•	Python Libraries: Numpy, Pandas, Scikit learn/ Sklearn, Seaborn, Matplotlib, ggplot2, SQL-DF, Google, Google-cloud, etc
•	Dev ops (CI/CD): Jira, Rally by CA, Azure ADO, GIT
•	Automation: MS Visual Studio (Selenium) , Provar, Pytest
•	Databases: MS SQL, Oracle, QMF
•	CRM: SalesForce


Domain : Education, E-commerce, Telecom, Automobiles, Medicare financing, Banking

Professional Summary:

•	Software Engineer at AXA Health UK, specializing in internal health insurance applications.
•	Developing an LLM Business, Technical and Process assistant based on RAG and Semantic Search (NLP) to assist internal engineers boost their productivity and efficiency.
•	Leading a data science project researching new methodologies to reduce context loss and improve memory retention in AI LLM using sophisticated embedding/ vectorization and recall.
•	Developing conversational chatbots with open-source SLM and RAG on power restricted CPU to improve performance for on-premise and on-device solutions that can be run without dedicated GPU.
•	Developing AI chat solutions with LLM models (GPT-3.5 and GPT-4) using Azure OpenAI, AI Services and other tools.
•	Developed a zero setup, easy to use semantic search python library based on SBERT, NLP, NLU and LRM and vector embeddings. (Package url: easySemanticSearch · PyPI)
•	Mentoring over 25 postgraduate students in Data Science and Machine Learning at Uniworx.
•	Advanced data analytics expertise in emissions from ports and vessels.
•	Led a 5-member team for a 3-month Machine Learning (ML) and forecasting project in collaboration with HSBC during my tenure at the University of Leicester.
•	A total of 9 years of experience across diverse software disciplines including Data Science, Data Analysis, Visualization and QA.
•	Gathered over 250,000 total downloads on a python package I built to easily obtain the entire Google Spreadsheet data with just the URL. (Package link: https://pypi.org/project/Googlexcel-noPassword/)

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The Battle

Nathan Valadares Ξ

Abhishek Venkatachalam

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