Safal Shrestha
@safalshrestha1
I build production AI systems for vision, reinforcement learning, and edge devices.
What I'm looking for
I've built production AI applications through bala.ai, connecting computer vision models, AI services, APIs, databases, geospatial systems, and application interfaces.
At Kathmandu University, I secured a 2026 STEAM Research Grant for an RL-driven hydroponics automation system. I'm developing FastAPI, MQTT, and WebSocket services for sensor ingestion, inference, actuator control, and monitoring across real-world pH, EC, temperature, humidity, pumping, and nutrient-dosing workflows.
My projects include KU Krishi, a four-stage agricultural computer vision pipeline using YOLOv8, TensorFlow, OpenCV, FastAPI, Firebase, and Flutter; it was published on Google Play and selected as a 2024 National ICT Award semi-finalist.
I've also developed a PPO-based autonomous driving agent in CARLA using visual and LiDAR observations, and contributed to AIHPC infrastructure by configuring Kubernetes and HAProxy, profiling NVIDIA GPU topology, and documenting deployment constraints.
Experience
Work history, roles, and key accomplishments
AI/ML Research Associate
Kathmandu University
Jan 2026 - Present (8 months)
Secured a 2026 STEAM Research Grant for an RL-driven hydroponics automation system. Developed Python, FastAPI, MQTT, and WebSocket services for sensor ingestion, preprocessing, inference, actuator control, and monitoring.
Education
Degrees, certifications, and relevant coursework
Kathmandu University
Bachelor of Technology, Artificial Intelligence
2022 -
Grade: 3.41/4.00
Pursuing a Bachelor of Technology in Artificial Intelligence with a focus on machine learning, deep learning, and computer vision. Achieved a CGPA of 3.41/4.00.
Availability
Location
Authorized to work in
Website
safalkumarshrestha.com.npPortfolio
github.com/safalkumarshresthaJob categories
Skills
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