Aron T.

Given my previous experience with voice bots, I was invited to this project as an expert consultant. I gave insight on prompting, voice2voice networks, transcription handling, and real-time information injection. The project uses ElevenLabs (which sadly isn't in the technologies list). My role here is not a constant load, more like being involved occasionally when there are uncertainties around technology or user experience. My role was more crucial in the beginning of the project when obviously there were more decisions to make. As I'm writing this, the project is about to go live, so my work here is mostly done.

Adnexo is operating a system that tracks trucks, and generates road usage reports to the Swiss government. Due to legislatory changes, their usage more than quadrupled in a short period, and their system was unable to handle the load. My first task was to stabilize the system, and make it performant again, by optimizing both source code and infrastructure. But the load was still growing, so the CTO decided to move over to AWS, which meant moving 7 billion records within a very small timeframe, since the system is real-time, so it can't be down for long. I also did a major refactor of the core of the system, making it parallel and scalable, and many new features and upgrades.

• Serveres i en konsulent- og arkitektonisk rådgivende rolle for en norsk startup fokuseret på storstilet dokumentintelligens.
• Led design af en skalerbar og robust arkitektur, der kan håndtere komplekse operationer på data indekseret fra kilder som Google Drev og SharePoint.
• Leveres strategisk vejledning om integration og orkestrering af LLM-baserede komponenter, så systemet kan udføre kompositoperationer ud over kapaciteten af en enkelt model.
• Rådgivet om backend implementering bygget i Node.js og en React-baseret frontend, tilpasse systemets ydeevne med forretningskritiske krav.
• Udvikling af strategier for flertrinsræsonnement, kontekstfastholdelse og intelligent sammenlægning af resultater på tværs af heterogene dokumentkilder.
• Sikrede arkitektoniske beslutninger understøttet udvidelse, virksomhedens parathed, og problemfri brugeroplevelse under høj belastning og varieret brug tilfælde.

• Architected and developed the backend of an innovative voice-driven chatbot platform designed to simulate difficult real-life conversations for training purposes.
• Bygget backend systemet helt fra bunden i ren Python med Django, at tegne kun løst fra arven begreber og samtidig gennemføre en fuldt moderne, holdbar kodebase.
• Integreret LiveKit til at aktivere real-time taleopkald, danner grundlaget for interaktive talesimuleringer.
• Udviklet støtte til komplekse samtalescenarier, herunder håndtering af salgsmodstand (f.eks. salg af gym medlemskaber til tøvende udsigter) og levere konstruktiv feedback til underleverandører medarbejdere.
• Implementeret robust session management, dialog state handling og talebehandling arbejdsgange til at understøtte realistiske, adaptive samtalestrømme.
• Deltaget i produktplanlægning og prototyping til at bringe tekniske evner i overensstemmelse med adfærdsmæssige uddannelse mål af platformen.

• Designet og udviklet en avanceret Retrieval-Augmented Generation (RAG) baseret chatbot, der indkapslede og leverede ekspertisen fra Alistair Brownlee, to-tiden olympisk guld medalist triatlet.
• Udviklet systemet til hallucinationsfri, meget nøjagtige svar, understreger sporbarhed og forklare genereret indhold.
• Bygge løsningen med dynamiske indhold opdatering kapaciteter, så chatbots vidensbase til at udvikle sig med nye oplysninger over tid.
• Implementerede backend-arkitekturen for at understøtte realtidsforespørgsler og problemfri integration med Brownlee Fitness-platformen.
• Sikret robust ydeevne og skalerbarhed, samtidig med at brugervenlige, samtale interaktioner skræddersyet til behovene hos fitness entusiaster.
• Leveret en produktions-klar, langvarig løsning, der forblev i aktiv brug på brownleefitness.com.

• Gennemført en hurtig, high-stakes kodebase revision efter den pludselige afgang af en udvikler under konflikt, at sikre ingen ondsindede ændringer eller skade var blevet indført.
• Udføre en grundig gennemgang af en storstilet Django (Python) og TypeScript kodebase, herunder både backend og frontend komponenter.
• Verificeret kode integritet, evaluerede nylige begå, og identificerede potentielle sårbarheder eller mistænkelige ændringer.
• Leveres en omfattende vurdering til kunden, der bekræfter sikkerheden og stabiliteten af deres tekniske aktiver.
• Rådgives om bedste praksis for kodebase sikkerhed, versionsstyring hygiejne og udvikler adgang politikker for at forhindre fremtidige risici.

• Solely developed a Python-based desktop application for advanced image and sunlight analysis;

• Collaborated closely with a Product Owner to define project scope, functional requirements, and technical feasibility;

• Engineered algorithms to calculate the precise moment of sunrise and sunset at specific geographic locations, factoring in complex variables such as terrain, buildings, and vegetation;

• Applied mathematical modeling and astronomical computation using libraries like NumPy, SciPy, and specialized astronomical toolkits;

• Designed and implemented a robust backend architecture capable of handling high-resolution spatial and visual data;

• Conducted rigorous testing and validation of image analysis algorithms to ensure accuracy in varying environmental conditions;

• Optimized application performance and accuracy by refining computational geometry and time-based prediction logic;

• Ensured a user-friendly desktop interface, maintaining a balance between technical functionality and usability.

• Acted as a supervisory and managerial lead overseeing the performance and collaboration of an outsourced Polish software development team;

• Identified and addressed critical issues in team cooperation, communication breakdowns, and inefficiencies in project execution;

• Advised the Product Owner on assessing productivity concerns and pinpointing quality bottlenecks in the development process;

• Redesigned the team’s workflow by introducing agile ceremonies and structured communication channels to facilitate transparent and effective data exchange;

• Conducted comprehensive code reviews to improve software quality and maintainability;

• Mentored developers on best practices and instilled a culture of accountability and continuous improvement;

• Oversaw the successful transformation of team dynamics and delivery standards, leading to significant improvements in both development speed and code quality.

I worked for OpenAI as an AI trainer, my role was mostly focused on the Chat Completion feature, introduced in ChatGPT 4. I trained ChatGPT for using various programming languages, mostly Python, to detect when the use of programming is required to answer the question, and how to verify if the solution given by the program is correct. I was part of a group of about 4000 people.

• BMAT is processing music usage all over the world, almost a petabyte of data every day
• The work is about the monetization of music usage by DSPs
• Working with the data of Byte Dance, YouTube, SoundCloud, and a lot more
• The product is based on Django, MongoDB, multiple queuing components, data warehousing, and AWS, with Vue.js on the front-end
• Enjoy the small company size and the flat structure, mainly because I get to meet the customers every week
• My out-of-the-box ideas and my Scrum expertise are both welcome in the company

• Founded a startup for socially assistive robots speaking Hungarian
• Lead a team of 5, wrote code from the ground up, using ROS, Python 3, and Flask
• Integrated face detection and face recognition using OpenCV, pose detection, and emotion detection
• Trained Deep Speech model for Hungarian language recognition, an NLU for Hungarian grammar
• Had various kinds of robots, including a virtual human 3D model created in Unity with mocap animations
• Unfortunately, scaling up was not possible in Hungarian

• Lette Scrum ceremonier (sprint planlægning, daglige stand-ups, backlog raffinement, sprint anmeldelser, og retrospektiver) som en udvikler/Scrum Master før overgangen til en ren udviklingsrolle.
• Designet og implementeret dataindsamling og behandling komponent til en indendørs UWB-baseret lokalisering system, implementering Python 2 kode på Raspberry Pi-enheder.
• Architected and developed a web-based user interface from scratch using Python 3 and the Bottle framework.
• Indeholdende applikationskomponenter med Docker til at strømline implementering og sikre konsistente udviklingsmiljøer.
• Integreret PostgreSQL som back-end database til lagring og forespørge lokaliseringsdata.