Javad Kasravi

writes the final thesis.

Angestellt, NLP & Generative AI (Research Assistant), Max Planck Institute for Human Development

Student, Computational Science, Freie Universität Berlin

Berlin, Deutschland

Über mich

Ex- Data Analyst Drilling Engineer transitioning into a Data Career after finishing Computational Science program (A combination of scientific computing and computer science). Over 7 years of experience in performing technical analyses, modeling, designing programs, data visualization, and managing a team of 2-6 people. Core skills include ability to work with Signals, big data, data preparation, statistical analysis, machine learning, and deep learning.

Fähigkeiten und Kenntnisse

Machine Learning
SQL
Data Science
Creativity
independent
open minded
Team work
Soft Skills
Responsible
Reliability
Loyalty
Motivation
Python
Software Development
Deep learning
ML
Natural Language Processing
PyTorch
Computer Vision
Signal Processing
Docker
Huggingface
Deepspeed
Tensorboard
High performance computing
SLURM

Werdegang

Berufserfahrung von Javad Kasravi

  • Bis heute 10 Monate, seit Juli 2023

    NLP & Generative AI (Research Assistant)

    Max Planck Institute for Human Development

    - Fine-tuned a deep neural network with 70 billion parameters using full precision for an economic game, employing model and data parallelization with only 8 GPUs - Employed state-of-the-art compression techniques (quantization, LoRA, and QLoRA,...) to scale ML models - Created isolated environments using Docker and Singularity, and applied it for multinode training - Applied the Slurm workload manager within an HPC cluster environment for the purpose of fine-tuning LLM

  • Bis heute 1 Jahr und 3 Monate, seit Feb. 2023

    Computer Vision & Generative AI (Research Assistant)

    Zuse Institute Berlin

    - Developed and fine-tuned 3D-cycleGANs, Contrastive Unpaired image to image Traslation, StyleGAN2-ADA, Swin Trasformer model to generate synthetics images - Evaluated and tested different algorithms for denoising and enhancing the quality of images - Skilled in coordinating multi-node training using distributed computing frameworks

  • 1 Jahr und 7 Monate, Jan. 2022 - Juli 2023

    Machine Learning (Research Assistant)

    Freie Universität Berlin

    • Processed time-series data to extract earthquake signals using deep learning • Prepared, cleaned, and processed a large amount of time-series data to feed into supervised and unsupervised learning algorithms • Evaluated Density-based clustering and Bayesian Gaussian mixture model algorithm to identify earthquake events • Analyzed and applied different deep learning algorithms (CNN and RNN) using PyTorch

  • 6 Monate, Nov. 2019 - Apr. 2020

    Data Analyst

    Iran

    - Developed and visualized drilling dashboards to optimize drilling operation using business intelligence tools, resulting in dropping operations cost by 10%. - Led drilling engineers and provided input to the competency development plans for the engineers - Extracted forthcoming challenges during drilling operations using a huge amount of data aligned with statistics - Proposed programs according to gathering and screening structured and instructed data

  • 4 Jahre und 4 Monate, Aug. 2015 - Nov. 2019

    Drilling Engineer

    National Iranian Drilling Company

    - Introduced text mining for daily drilling Reports to extract statistics and pattern - Wrote drilling failure report according to existing time series data and created a loop to revise the decisions

  • 3 Monate, Apr. 2017 - Juni 2017

    Research Assistant-Geomechanics

    Petroleum University of Technology

    • Wrote and developed a MATLAB interface toolbox for coupling FLAC3D (finite difference method) and ECLIPSE Simulation (finite volume method) • Guided several MSc students to build Geomechanical Models

  • 1 Jahr und 3 Monate, Juni 2014 - Aug. 2015

    Rig Engineer

    Petro Omid Asia

    • Wrote and developed a MATLAB interface toolbox for coupling FLAC3D (finite difference method) and ECLIPSE Simulation (finite volume method) • Guided several MSc students to build Geomechanical Models

  • 1 Jahr und 10 Monate, Apr. 2012 - Jan. 2014

    Petroleum Engineer

    Pars Oil and Gas Company

    • Prepared and reviewed commodities and spare parts inventory database (SPID), approved their documents and announced to builders, and coordinated with project managers

  • 2 Monate, Juli 2009 - Aug. 2009

    Production Engineer Internship

    National Iranian Central Oil Fields Company

  • 2 Monate, Juni 2007 - Juli 2007

    Mineral Processing Engineer Internship

    Zarmehr Gold Company

Ausbildung von Javad Kasravi

  • Bis heute 3 Jahre und 8 Monate, seit Sep. 2020

    Computational Science

    Freie Universität Berlin

  • 1 Monat, Sep. 2009 - Sep. 2009

    Petroleum Engineering

    Sahand University of Technology

    • Thesis Topic: “Optimization of Vertical and Horizontal Wells Design in Gas Reservoirs Using Genetic Algorithm Approach.” (Under financial Support from National Iranian Central Oil Fields Company). • Wrote and developed a user-friendly MATLAB optimization toolbox • Coupled MATLAB optimization toolbox with ECLIPSE Simulation (Finite Volume Method) • Develop and fully automated artificial intelligence optimization engine to select the best scenarios • Total GPA: 17.57/20.00

  • 4 Jahre und 1 Monat, Sep. 2005 - Sep. 2009

    Mining Engineering

    University of Birjand

Sprachen

  • Englisch

    Fließend

  • Deutsch

    Grundlagen

Interessen

Big Data
Data Science
Deep Learning

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