Junaid Afzal

Experience: 5 years

Current Position:

Sr/ Machine Learning Engineer

Ekkel AI, Lahore (07/2022 – 01/2024)

Spearheading the development of AI models from inception, facilitating comprehensive comprehension among diverse stakeholders.
Pioneering the establishment of robust data ingestion and transformation infrastructure.
Orchestrating the design, implementation, and deployment of AI infrastructure through meticulous API development.

Previous Position:

Machine Learning Engineer

Kodezi, Remote (08/2022 – 12/2023)

Instrumental in raising $40,000 in Angel Investment and $800,000 in Pre-Seed Round through the delivery of successful Proof of Concepts (POCs).
Executing the serverless deployment of sophisticated pipelines utilizing Finetuned OpenSource and Closed Source Large Language Models (LLMs).
Effectively managing and collaborating with a distributed team spanning 4 countries.

Additional Experience:

Python Developer

Arhamsoft, Lahore (10/2021 – 06/2022)

Pioneering the establishment of end-to-end machine learning workflows encompassing training, testing, and deploying object detection models.
Crafting robust APIs for model serving and ensuring continuous codebase quality maintenance.

Freelance (02/2018 - 08/2021)

Key Skills:

Programming: Python
Machine Learning and Deep Learning
Generative AI, GPT-4/ChatGPT, Stable Diffusion, ControlNet
Open Source: Huggingface, TensorFlow, PyTorch, Gradio, FastAPI/Flask
Cloud Platforms: GCP, AWS (Lambda, EC2, ECR, S3 Bucket)
Data Engineering: ETL, Apache Spark, PySpark
Speech and Language Processing: Speech Recognition, Text-to-Speech, Speech-to-Text, NLP
Computer Vision: Object Detection, Image Processing, Transformers
Version Control: GitHub
Database: Postgres, MongoDB
Deployment: Serverless Deployments, Docker, CUDA
Web Technologies: Web Scraping, OpenAPI
Mathematics: Linear Algebra
AI Applications: AI Art/Avatars, AI Agents, Langchain, Fine-tuning LLMs
Problem Solving, Linux