About Me

Avishek Poudel

Recent graduate in Electronics, Communication, and Information Engineering with a strong focus on Machine Learning and Artificial Intelligence. I specialize in developing deep learning models, NLP pipelines, and AI-driven hardware integrations.

Skills

Experience

Education

AI/ML
Web Development
Hardware & IoT
  • Python (PyTorch, TensorFlow)
  • NLP & Model Quantization
  • Django, Flask, React
  • Arduino, Raspberry Pi
  • 2025 Oral Presenter, Gandaki University International Conference
  • 2023 Organizer, CODE WITH COFFEE Web Development Workshop
  • 2022 Best Bot Design, Battle for Speed Robotics Competition
  • 2020 Best Performance Award, Fifth Young Scientists Summit
  • 2021 – 2025 B.E. Electronics, Communication & Information Engineering (GPA: 3.6)
  • 2019 – 2021 Higher Secondary Education, Valmiki College (GPA: 3.38)

My Services

AI/ML Development

Building custom Deep Learning models, NLP pipelines, and optimizing LLMs through quantization.

Web Development

Creating full-stack applications and AI-driven web interfaces using Django, Flask, and modern JS frameworks.

IoT Solutions

Designing intelligent hardware systems integrating sensors with real-time AI processing.

My Work

AI-Driven Depth Estimation

AI-Driven Depth Estimation

Led a team in building a PyTorch system for depth and texture extraction from RGB images for 3D modeling.

PyTorchRaspberry Pi3D Modeling
View Project →
Medical Intelligence Platform

Medical Intelligence Platform

Built a RAG pipeline using Pinecone and LangChain to enable real-time medical queries from private datasets.

Generative AIRAGPinecone
View Project →
GPT SLM & Quantization

GPT SLM & Quantization

Developed a 6-layer Transformer from scratch and implemented Salience-Aware Quantization (2-bit to 4-bit).

TransformersQuantizationPyTorch
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Multi-Agent Research Assistant

Multi-Agent Research Assistant

Designed a collaborative LLM system using AutoGen to automate literature exploration and research tasks.

AutoGenMulti-Agent SystemsLLMs
View Project →
Accident Alert System

Accident Alert System

Developed a hardware-based detection system using Arduino, GPS, and GSM modules for automated emergency alerts.

IoTArduinoEmbedded Systems
View Project →
See More Projects

Get In Touch

[email protected]

+977-9845923008

Download CV