Henok.

Hi  

I'M HENOK

Software Engineer | Machine Learning Engineer

About

Hello, I’m Henok Tadele, a software engineer and machine learning engineer with a passion for natural language processing, machine learning and distributed systems. I thrive on creating innovative solutions that merge these fields to drive impactful results.

In my spare time, I enjoy mentoring and teaching computer science fundamentals at Karat. It's a rewarding experience that allows me to deepen my understanding while sharing knowledge with others.

Thanks for visiting my portfolio! Please feel free to reach out 😊

Experience

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Data Science, Graduate Intern, Dell Technologies

Successfully migrated real-time telemetry data from Azure to on-premises, projected to save $18M annually.

Leveraged Airflow and Apache Spark, configured monitoring tools (Splunk, Dynatrace, Grafana), and implemented HashiCorp Vault for secret management.

May 2024 – Aug 2024   USA

Machine Learning, National Science Foundation

Led a million-dollar project funded by the National Science Foundation, driving advancements in Artificial Intelligence and Machine Learning technologies within the construction industry.

Aug 2023 - present   USA

Software Engineer - Eskalate, California

LLed a team of 4 in architecting, developing, testing, and delivering REST APIs across multiple projects.

Implemented responsive design across a web application, improving mobile traffic by 40% and increasing overall user engagement by 30%..

June 2022 – Aug 2023   Menlo Park California, CA

Data Structure And Algorithm Lecturer - Africa To Silicon Valley

I teach undergraduate students Python, data structures, algorithms, and system design, while also guiding them on their journey to becoming exceptional problem solvers in data structures and algorithms (DSA).

Dec 2021 - 2023   Menlo Park California, CA

Machine Learning Engineer - SingularityNet

I developed a state-of-the-art Amharic Text-to-Speech (TTS) application using the Tacotron2 deep learning architecture, achieving remarkable accuracy and naturalness. Enhanced accessibility for the Amharic-speaking community.

Jan 2022 – Sep 2022   Amsterdam, Netherlands

Software Developer Intern - Major League Hacking

I worked with a global team of 6 developers to create a user-friendly full-stack (MERN) trip planner and weather detector app that enabled users to efficiently build, organize, and map their itineraries.

Oct 2021 – Dec 2021   New York, NY

Projects

NSF CyCon Project

Working on advancing Artificial Intelligence and Machine Learning in the construction industry, backed by the National Science Foundation (Award #2229604), with a total funding of $999,998 for the year 2022

NLP PyTorch Keras Docker Sckit-Learn React JS Flask Python Computer Vision Jenkins Object-detection Transformers Large language Models MySQL Deep Learning Machine Learning

LLM for Nuclear Engineering Research

Received funding from the Center for Advanced Energy Studies to develop a vision language model called VLM-Nuclear, a specialized model for answering multimodal questions in nuclear engineering research. This model will assist in validating system design requirements, safety analysis reports, and generating and summarize safety and risk assessment reports

NLP PyTorch Keras Fine-Tunning Multimodal Models Python Transformers Large Language Models Research Deep Learning Large Language Models

LabConnect

A full-stack application for Laboratory system that automates the process of ordering and recieving laboratory results

React Js MongoDB Nodejs Auth0 Express TypeScript Jquery Jest Tailwind AWS AWS EKS Jenkins ARGO CD Prometheus Grafana

Text-to-speech

Developed an Amharic Text-to-Speech (TTS) system using the Tacotron 2 architecture with an encoder-decoder network and attention mechanism using PyTorch.

React js PyTorch Machine Learning Python Deep Learning NLP Speech Synthesis Tacotron2 Linux Keras Natural Language Processing AWS SageMaker

Rate-Eat

RateEat.app, a restaurant review platform that connects diners with the best local restaurants. I leveraged my expertise in full-stack development and cloud architecture to design and implement a scalable, secure, and user-friendly platform that has garnered positive reviews from users and industry experts alike. Through my work on RateEat.app, I gained valuable experience in Agile development methodologies, RESTful APIs, serverless architecture, and data modeling, which have prepared me for a successful career in the technology industry.

Vue js Tailwind Node Js Express MongoDB JavaScript Jest Vue Test Utils Cypress Docker GCP Auth0

Africa To Silicon-Valley

A2SV upskills high-potential university students, connects them with opportunities at top tech companies around the world, and creates digital solutions to urgent problems in their home countries. The program is free for students, making the opportunity available for youth who have talent but lack the means to use it.

Vue js Tailwind Node Js Express MongoDB Jest Vue Test Utils Prometheus Jenkins GCP Auth0

Contact

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