Machine Learning & Software Engineer
New York, USA
ML and software engineer working across deep learning, backend systems, and infrastructure. Strong on algorithms and systems design (Guardian, top 1% on LeetCode).
Fordham University
Research on deep learning and agentic AI systems applied to cybersecurity and automation.
Zobel Technologies
Backend and data engineering for Waga Express (logistics) and an airtime distribution platform for EthioTelecom resellers, serving 100K+ end users.
Africa to Silicon Valley (A2SV)
Worked on SkillBridge, an AI-powered learning platform, and led A2SV's expansion to Ghana with Google Ghana and the University of Ghana.
Upwork
Built backend and mobile solutions for international clients across fintech, logistics, and community platforms.
Open-source AI/ML learning platform with interactive courses, coding challenges, and automated code evaluation. The flagship course covers building GPT from scratch, from tokenization to the full Transformer architecture.
From-scratch PyTorch implementation of the original Transformer (Vaswani et al., 2017). 65M-parameter model trained on WMT14 English-German with multi-GPU DDP, achieving 25.53 BLEU.
Personal AI assistant that unifies email, calendar, tasks, and local files behind a single search interface. Uses hybrid RAG retrieval (BM25 + semantic embeddings + RRF) and LLM-powered email intelligence.
Handwriting synthesis system using an attention-based LSTM (5M params). Generates realistic handwriting from text input with real-time rendering through a FastAPI backend and React frontend.