Academic & Professional Portfolio

About Me

I am a licensed Software Engineering graduate from Pokhara University, Nepal. Currently, I am working as a Mobile Applications Engineer at Exotrac LLC, focusing on on-device AI, computer vision, and low-latency edge model deployment.

My research interests lie in Edge AI, Mobile Computing, Computer Vision, and Efficient Deep Learning Systems, focusing on bridging the gap between resource-constrained mobile hardware and complex neural network execution.

I completed my Bachelor's degree in Software Engineering with top honors (Dean's Honor List). During my undergraduate studies, I co-founded Codekavya Technologies and built cross-platform applications across various domains before expanding into computer vision and edge inference systems.

If you have some ideas and would like to collaborate, I would love to get in touch.
✉️ Email: thesandeshsharma@email.com

Research Interests

Edge AI & Mobile Computing: Efficient Neural Network Execution, On-Device Inference & Fine-Tuning, Resource-Constrained ML (TinyML).
Computer Vision: Real-Time Object Detection, Lightweight Optical Character Recognition (OCR), Autonomous Perception.
Efficient Deep Learning Systems: Model Quantization, Pruning, Parallel Multi-Model Execution on Mobile Hardware (CPU/GPU/NPU).

Education

Bachelor of Science in Software Engineering

CGPA: 3.84/4.00

Pokhara University

Honors: Dean's Honor List

GCE A Levels

Budhanilkantha School, Kathmandu

School Leaving Certificate

Pokhara Public School

Experience

Mobile Applications Engineer

Oct 2022 – Present

Exotrac LLC | New York, USA (Remote)

  • Deployed and optimized machine learning models on iOS/Android using TFLite and ONNX Runtime for automated yard management systems.
  • Engineered a parallel edge inference engine running multiple computer vision models concurrently under strict latency, memory, and battery constraints.
  • Implemented real-time computer vision algorithms for collision detection and back-up distance calculations using on-device camera streams.
  • Collaborated with ML teams to optimize graph execution and adapt architectures for low-latency edge deployment.

Co-Founder & Mobile Application Developer

Sep 2020 – Oct 2022

Codekavya Technologies Pvt. Ltd. | Pokhara, Nepal.

  • Architected and delivered cross-platform mobile applications across diverse domains using Flutter, Kotlin, and Swift.
  • Managed client requirements, technical architecture design, software execution, and deployment lifecycles.