Peter Hussami, Developer in Budapest, Hungary
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Peter Hussami

Verified Expert  in Engineering

Algorithms Developer

Location
Budapest, Hungary
Toptal Member Since
July 3, 2017

Peter is an expert in algorithms and statistics/data science, but his specialty—which few others can deliver—is mathematical modeling. These tasks are often written out in plain language at the start, and he’s good at formalizing these problems, then providing full, working solutions and integrating them (domain expertise in audio analysis/pattern recognition, identity verification, NPL, sensor analysis, scheduling, routing, and credit scoring).

AlgorithmsStatisticsStatistical AnalysisMachine LearningArtificial Intelligence (AI)Natural Language Processing (NLP)Big DataC++MySQLAutomationSQLPythonPython 2Python 3LinuxStatistical Modeling

Availability

Part-time

Preferred Environment

Python, Linux

The most amazing...

...project I’ve ever worked on was a cool content-based music recognition system, back when nobody else had such a system.

Work Experience

Principal Data Scientist

2015 - PRESENT
UangTeman
  • Created and maintained various statistical models for a lending company—the aim was to automate all aspects of the company's lending operations.
  • Designed and implemented several successful credit risk evaluation models. Notably, I built models that supported big data and they made inferences on heterogeneous records.
  • Designed and implemented statistical identity verification tools (big data style).
  • Built scrapers for various social networks.
  • Developed an OCR-based identity verification module.
  • Made various further prediction models for collection, residence verification, and more.
Technologies: Linux, Amazon Web Services (AWS), Amazon, Python, Machine Learning, Data Science

Freelance Data Scientist

2018 - 2018
Knexus Research Corporation (via Toptal)
  • Investigated the possibility of replicating data by generating high-dimensional synthetic clones of the input, under strict differential privacy constraints. The solution was quite successful, the invented method might well be a mathematical novelty.
Technologies: Statistical Analysis, Python

Research Contractor

2015 - 2017
Furukawa Electric
  • Built a pilot system for direction detection using sound; specifically in an outdoor setting. The system's intended use is to enhance existing radar technology in the automotive field. Accuracy is lower than that of radar, but audio is a low-cost means to an orthogonal measurement.
  • Developed a solution was able to measure the direction of passing cars, as well as show a consistent direction for the car it was mounted on.
  • Ideated also physical solutions for alleviating wind distortion.
Technologies: Python, Audio Analysis

Researcher

2015 - 2017
General Electric
  • Delivered a high-accuracy direction-detection system using sound only.
  • Fused the sound and video sensor data for enhanced motion detection.
  • Built a successful traffic counting and classification system that was able to count passing vehicles and separate buses, cars, and more.
  • Used Python (NumPy) to build the systems.
Technologies: NumPy, Python, Audio Analysis

Algorithm Developer

2015 - 2015
Analogy.co
  • Built natural language models (NLP) for semantic data analysis.
  • Developed automated semantic tagger modules for deriving meaning in the text.
  • Used various algorithm optimization techniques for asymptotic speedup of the semantic search.
Technologies: Python, Natural Language Processing (NLP), GPT, Generative Pre-trained Transformers (GPT)

Algorithm Developer and Programmer

2011 - 2015
Applied Logic Laboratory
  • Built a syntax parser specifically for searching through English-language patents.
  • Developed an information-rich semantic representation over the parsed syntax.
  • Created a search engine for matching semantic information.
  • Built scrapers and built scraped data into a structured dictionary automatically.
Technologies: Java, Python, C++, C, GPT, Natural Language Processing (NLP), Generative Pre-trained Transformers (GPT)

Research Intern

2006 - 2006
SAP
  • Created a server-side log analyzer. The log analyzer's purpose was to predict the identity based on user input.
  • Designed the log analyzer so that it parsed server logs into structured data and estimated their distance—delivering probabilistic results.
Technologies: C++, C

Algorithm Developer and Programmer

2004 - 2005
Bioscrypt Corporation
  • Participated in building the company's fingerprint recognition algorithm. The algorithmic work included image cleansing, filtering, and feature extraction.
  • Wrote parts of the matching algorithm.
  • Developed exported APIs to the system.
  • Created test tools.
Technologies: Embedded C, C++, C

Programmer | Inventor

2000 - 2002
Connexus Corporation
  • Invented one of the world's first content-based music recognition systems, it came earlier than the current market leader. The system monitored a large number of radio stations (US), to deliver high-accuracy recognition information of the contents, songs, commercials, recorded interviews etc.
  • Designed the system so that it made heavy use of the Fourier transform to convert audio data into a musical score.
  • Wrote fast algorithms that were supplied to match a time sequence of these fingerprints.
  • Built automated management tools for recording and tagging unknown patterns; inserting them into the central database and various other smaller components.
Technologies: C++, C, Audio Analysis

Research Intern

1998 - 1998
IBM
  • Built a pilot program for converting an audio signal into musical notation. The criterion was for the musical score thus derived can be used for regenerating the original signal in a way that humans would still recognize it.
Technologies: C++, C, Audio Analysis

Hungarian Spell Checker

This is a rule-based syntax parser and spell checker for Hungarian. The purpose is to determine if a compound term is spelled as a single word, separated by a hyphen, or composed of multiple words.
Image of How to Approach Machine Learning Problems publication
Publication

How to Approach Machine Learning Problems

https://www.toptal.com/machine-learning/machine-learning-problems

Languages

Python, Python 3, C++, Python 2, SQL, C, Embedded C, R, Java

Paradigms

Data Science, Automation

Storage

MySQL, PostgreSQL

Other

Statistical Analysis, Machine Learning, Artificial Intelligence (AI), Natural Language Processing (NLP), Numerical Methods, Mathematics, Statistics, Algorithms, Big Data, Data Structures, Statistical Modeling, Research, GPT, Generative Pre-trained Transformers (GPT), Audio Analysis

Frameworks

Flask, Django

Tools

NGINX

Platforms

Linux, Amazon, Amazon Web Services (AWS)

Libraries/APIs

NumPy

2005 - 2011

PhD Degree in Mathematics

Central European University - Budapest, Hungary

1995 - 2000

Bachelor of Science Degree in Mathematics

Massachusetts Institute of Technology | MIT - Cambridge MA, USA

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