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Work Background
Stealth AI StartupCo-Founder
Oct. 2025United States, New YorkAutomating the most time-consuming part of QoE (Quality of Earnings) work and turn messy P&L exports into analysis-ready financials. What used to take analysts 8 to 12 hours per deal for data cleanup, account mapping to a standardized chart of accounts, trial balance reformatting, value conversions, and LTM trend prep now runs in about 15 minutes from upload to output. For a team reviewing about 100 targets per year, that reduces manual prep from roughly 1,000 hours to about 25 hours, freeing around 975 hours, or about a 97.5% reduction. At about 140 hours per QoE engagement, that reclaimed time translates to capacity for about 7 additional full QoE reports annually, or about $875K in incremental revenue assuming $125K per report, plus about $97.5K in labor savings using $100 per hour, for roughly $972.5K in Year 1 value. Blits also removed common sources of rework and risk, including Excel formula and version control issues, roll-forward inconsistencies when stub periods change, and nuance misses from offshore prep.
Aizatron GroupNLP Engineer
Jan. 2025 - Oct. 2025City of Cape Town, Western Cape, South AfricaBuilding scalable RAG systems with containerized NLP workflows on AWS (EC2, S3, ECR). Delivering innovative cloud solutions as an Amazon partner, optimizing cloud applications with Docker and DevOps automation.
AutoscriberMachine Learning Engineer
Jan. 2024 - Jan. 2025Cape Town, Western Cape, South Africa As a machine learning engineer in the Med Tech domain, this role involved leveraging cloud platforms, primarily Microsoft Azure, to design and deploy machine learning solutions. Development of robust APIs with FastAPI to facilitate data flows and integration with NLP endpoints. Google’s Vertex AI was also used as alternative flow. In more complex repositories, Langchain, Chain of thought and elastic search techniques were used to enhance model capabilities and to ensure structured data output. I maintained Pydantic classes to ensure data integrity across NLP tasks. Proficiency in STT and LLM finetuning on low and high-level as well as proficiency in SQL was required in the role. Working closely with the DevOps team was a crucial part of the role to ensure all solutions were able to be containerized to ensure scalable infrastructure.
Reutech Radar SystemsElectrical Electronic Engineer
Jun. 2022 - Jul. 2022Stellenbosch, Western Cape, South AfricaSeasonal Vacation Work:
Vacation work in which I was involved in a project to design a MSR beacon which could reflect waves being transmitted by a radar in order to calibrate the radar. It Involved PCB design, MCU coding,
component selection. and component assembly (solder). Engineering documentation and installation was also performed on site.
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