Mohsen Dehhaghi

About Mohsen Dehhaghi

Principal Software & Hardware Developer with a demonstrated record of working in diverse spectra of high-tech research & development industries. Conducting interdisciplinary work at the intersection of HPC & AI (QML) with emphasis on developing and implementing deep learning solutions. Leading research on emerging quantum machine learning (QML) techniques as an eventual complement to the cutting-edge suite of analytics solutions (AI, HPC, NLP, Machine Learning, Deep Learning). Skilled in Software & Hardware Developments, Quantum Computing, Big Data Analytics, Database Systems, AI, Deep Learning, Machine Learning, NLP, Java, Python, MapReduce, Object-Oriented Programming (OOP), and Very-Large-Scale Integration (VLSI). Strong engineering professional with two Master\'s degrees in Computer Science and Electrical Engineering both from University of Southern California along with conducting research and completing advanced studies at Stanford University.

Experience

1. Principal Software Development Engineer

   Deloitte

   Dec 2021 — Present · Los Angeles, CA, US

   Develop, enhance and deploy Data Ingestion pipeline, platforms and automation tools in a fault-tolerant, scalable fashion for real time streaming of different data types Integrated Databricks Data Intelligence Platform to unify real-time streaming pipelines and advanced analytics for compliance and risk dashboards Optimized job performance through parallel step execution and asynchronous chunk processing, reducing job duration by up to 60% Developed detailed job monitoring and logging frameworks for traceability and diagnostics, integrated with enterprise logging systems Design and employ multimodal AI-powered Data Management & Compliance ecosystem to manage and improve Risk, Compliance and Internal Control framework as part of overall regulatory filings Design and deployment of enterprise IT IaaS infrastructure and PaaS platform for workflow standardization and cluster operations automation based on J2EE, SOA, Web Services, Messaging Middleware, event processing and micro-services API architecture Designed and automated cloud infrastructure deployments using Terraform for scalable IaaS and PaaS solutions across AWS and GCP environments Improve system design and multi-cluster architecture to ensure high stability and performance of the services across global multi-DC Work across a range of environments, including multiple data centers, private clouds and public clouds that run Kubernetes clusters Manage operations of data service, real time/batch data pipelines, such as SLA management, system deployment, performance tuning on call and trouble shooting SRE oncall management and planning including formalizing damage control process, Parameter Server health check automation and incident notifications Automate efficient data collection, preprocessing, event handling, encrypted storage and transmission, and secure persistence

Education

• University of Southern California

  Master's degree, Computer Science

  2015 — 2017

• Stanford University

  Professional, Advanced Integrated Circuit Design

  2015 — 2015

• University of Southern California

  Master’s Degree, Electrical and Electronics Engineering

  2012 — 2014

Skills

• Vlsi
• Sun Certified Java Programmer
• Integrated Circuit Design
• Hadoop
• Algorithm Development
• Object-Oriented Programming (Oop)
• Mapreduce
• Deep Learning Tensorflow
• Java
• Python
• Javascript
• Tensor Processing Unit (Tpu)
• Databases
• Web Services
• Artificial Intelligence
• Web Development
• Hardware
• C++
• Distributed Systems
• Circuit Design
• Big Data