πα°αα, I'm a final year undergraduate student majoring in computer science. I'm broadly interested in Natural Language Processing, ML and Deep Learning.
Highlights π NLP Research Intern at MIR Labs, 2022 π Cohere AI Champion, 2022 π MLH Fellow, 2022 π 15+ hackathons winner π Contributed to CNCF, MDAnalysis, IHP among others. π Spoke at Devopsdays Chattanooga, USA
Addis Ababa, Ethiopia
β’ Analysing text based emotion detection and surveying papers for the past 10 years.
β’ Designing emotion detection using LLMβs and Deep Learning under Prof. Anitha Pillai.
Auburn, Washington, USA
β’ Working on developing and pre-training LLMs using fine-tuning and from scratch.
Addis Ababa, Ethiopia
β’ Working on various full stack web developments that have been launched.
β’ Followed SDLC best practices to produce rapid iterations for different products.
β’ Code testing and UI/UX work for different parts of the system
Addis Ababa, Ethiopia
β’ Exploring natural language processing using publicly avalible twitter data for sentiment analysis.
β’ Studying text vectorization algorithms.
β’ Implemented BERT model for sentiment analysis
Munich, Bavaria, Germany
β’ Prepared students for the VEX Robotics competition to represent Ethiopia and Africa.
β’ Mentored students in groups and private classes from basics to advanced programming in C, python, and Java.
β’ Conducted different presentations and spoke for outreach programs.
Addis Ababa, Ethiopia
β’ Mentored students in the Bay area and Silicon Valley basics to advanced level python. β’ Taught students to implement NumPy, decision tree classifiers, and advanced level ML. β’ Adapted and optimized online learning tools for better interaction.
Santa Clara, California, United States
β’ Displayed data visually for traders using JPMorgan Chase frameworks, tools, and interface with a stock price data feed. β’ Involved in working on practical tasks in establishing financial data feeds, frontend web development, and data visualization with perspective.
β’ Worked with UC Berkeley professor Jelani Nelson, professor Boaz Barak(Harvard) and Dr. Timnit Gebru where I mentored students to reinforce DSA learning concepts in a 5-week summer camp. β’ Managed to cover concepts in algorithms, optimization, DP, and complexity for high schoolers. β’ Managed a lab of 30+ students to prepare and help students solve problem sets also worked with people from Google, Meta, and other companies.
Addis Ababa, Ethiopia
βοΈ Is software testing a life-or-death situation?
βοΈ The need for Bidirectional Encoder Representations from Transformers (BERT)
βοΈ Who should take responsibility when Algorithms go wrong?
βοΈA flight with GitHub Copilot
βοΈ Mergify : smooth code merging
βοΈ Build a Telegram Bot using Co:here and Python
βοΈ A taste of KubeCon EU 2022