Islamabad, Pakistan · GMT+5 ·
Multiple IEEE papers on multi-agent DRL. Most recently a Mitacs Globalink intern at McMaster on guided policy optimization. By day, shipping voice and email agents at Adept Tech Solutions.
01 / About
I graduated from NUST in 2025 with a B.E. in software engineering. My focus is reinforcement learning research, with two IEEE publications on multi-agent DRL.
Most recently I spent a summer at McMaster University on a Mitacs Globalink internship, working on guided policy optimization. I integrated human advisory signals into PPO training loops, which accelerated convergence over the baseline.
Alongside research, I work as an AI engineer at Adept Tech Solutions in Islamabad, building voice agents on VAPI and Deepgram, RAG retrieval systems with pgvector, and LLM orchestration over FastAPI for enterprise clients.
02 / Peer reviewed
Saleha Ahmed, Muhammad Uzair, Syed Asad Ullah, et al.
IEEE Internet of Things Journal · 2025
A cooperative multi agent DRL framework for CR-NOMA IoT, where distributed agents jointly learn spectrum access and power control policies under partial observability.
Saleha Ahmed, Muhammad Uzair, Syed Asad Ullah, et al.
IEEE International Conference on Communications (ICC) · 2025
DRL driven transmit power control for energy harvesting uplink nodes, evaluated against MRC, SC, and EGC diversity combining schemes under Rayleigh fading.
03 / Selected work
Domain specific LLM assistant for banking, built on LLaMA 3.2 3B with LoRA fine tuning, FAISS retrieval, and real time document ingestion.
Proximal Policy Optimization agent solving the MuJoCo inverted pendulum, with a hand shaped reward function and Optuna driven hyperparameter search.
Privacy preserving ranking system trained with federated averaging on the ANTIQUE QA dataset, matching centralized baselines without pooling user data.
End to end IoT pipeline: ESP32 sensors stream into Azure IoT Hub, then blob storage, then an ML regression model, with PowerBI dashboards on top. 75% AQI prediction accuracy on a self collected dataset.
04 / Timeline
Nov 2025 to Present
Islamabad, PK
Jun 2025 to Aug 2025
Hamilton, ON
Jun 2024 to Sep 2025
Islamabad, PK
Nov 2021 to Jun 2025
Islamabad, PK
05 / Get in touch
available
Open to Masters opportunities in RL, AI, LLMs and multi-agent systems, and to AI engineering roles.
Email is the fastest way to reach me, and I usually respond within a day. Grab my CV below if you're evaluating me for a role or program.