Electrical engineering · Boston, MA
I’m Tamerlan, a Boston University electrical engineering student and computer science minor working across trustworthy AI, speech and signals, production software, and digital hardware.
01 / Featured
Four case studies that show how I frame problems, make engineering decisions, verify results, and communicate limitations.
UROP-funded research
An ongoing research prototype connecting speech recognition, transcript processing, document generation, and validation mechanisms for safer AI-assisted clinical documentation.
Deep learning + DSP
Led a four-person team building an encoder-decoder that combines residual convolutions, temporal modeling, frequency attention, and a learned noise gate.
Sanitized experience case study
Improved a production automation platform across its TimescaleDB queries, React interface, caching layer, and deployment workflow.
Digital hardware
Modular RTL that accepts standard 8-bit ASCII and emits variable-length Morse sequences while keeping the design in one 100 MHz clock domain.
02 / Focus
The model, the signal entering it, and the production system around it are parts of the same engineering problem.
AI & research
Medical documentation, speech enhancement, computer vision, retrieval, and evaluation.
Explore research ↗Software & systems
FastAPI, React, databases, caching, CI/CD, cloud deployment, observability, and testing.
Explore systems ↗Hardware & DSP
Speech processing, STFTs, RTL, finite-state machines, FPGA verification, and PCB design.
Explore hardware ↗03 / Experience
The short version here; the full context, ownership, and measurement methods live in the linked case studies.
Boston University
UROP-funded work on validation mechanisms and human-centered evaluation for AI-assisted clinical documentation.
Boston University College of Engineering
80% faster critical query, 6–7 ms cached responses, 1,000+ redundant DOM elements removed, and a 70% faster deployment workflow.
AlmaEco LLP
Built a multilingual healthcare platform serving 3,000+ monthly users across 40+ countries and reduced API latency by approximately 65%.
The throughline
I started by designing hardware I wanted to use. That curiosity expanded into computer science, electrical engineering, speech and signals, production software, and now reliable AI systems for healthcare.
Read the story