Available for new opportunities

Suyog Dahal

AI Engineer & Researcher

I design and build machine intelligence through reinforcement-learning agents, computer-vision systems, and the full-stack applications around them. Working from Kathmandu (GMT+5:45) with teams anywhere.

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What I work with

A practical toolkit spanning low-level performance, modern web systems, and applied machine learning.

code

Core languages

Low-level performance with C/C++, rapid iteration in Python, and type-safe JavaScript across the stack.

C / C++PythonJavaScript
web

Web architecture

Full-stack systems, dashboards, and interfaces built to be fast, accessible, and maintainable.

React / Next.jsTailwind CSSNode.js / PHP
science

Deep & reinforcement learning

Designing and tuning models, from curiosity-driven agents in simulated environments to computer-vision systems.

PyTorchGymnasiumPPO / RNDR-CNNComputer vision

Projects

Two focused systems exploring agent learning and computer vision.

Reinforcement learningPPO + RND

RL Dangerous Dave

A PPO agent augmented with Random Network Distillation plays a PyGame re-creation of Dangerous Dave, wrapped as a custom Gymnasium environment. Curiosity, not just score, drives the learning.

2reward streams: game score + intrinsic curiosity
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PyTorchFuzzy logic

Traffic System Optimization

An R-CNN model detects vehicle density in real time, with fuzzy logic and image detection visualized through a custom Streamlit interface.

0.7detection confidence threshold
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Education & background

2021 – 2025

BE in Computer Engineering

Purbanchal University

Formal training in data structures and algorithms, computational theory, artificial intelligence, computer networks, and database systems.

Present

Open to work

Internship & entry-level roles

Seeking an internship or entry-level software or AI engineering role where I can apply these skills to real-world challenges.