Raza Ali
Senior Fullstack Engineer
PROFESSIONAL
SUMMARY
Experienced Fullstack Engineer with over 5
years of expertise in Python and PHP,
specializing in designing, developing, and
maintaining scalable web applications and
data science projects. Proficient in
frameworks like Django, Laravel, Flask, and
advanced in deploying machine learning
models and large language models (LLMs).
Skilled in end-to-end project management,
from backend development to front-end
integration using ReactJS. Adept at
optimizing application performance,
implementing CI/CD pipelines, and ensuring
security compliance.
EDUCATIONAL
BACKGROUND
University of Gujrat
Bachelor’s of Computer Science
2020
SKILLS
Python
PHP
Laravel
Flask
Django
FastAPI
NumPy/Pandas/PyTorch
Jupyter Notebook
Data Engineering
Data Science
LLM
spaCy
HTML/CSS
JavaScript
ReactJs
Bootstrap
PostgreSQL
MySQL
SQLite
Docker
GitLab
GitHub
AWS
Heroku
Selenium
RabbitMQ
Redis
Lahore, Pakistan--
https://www.linkedin.com/in/raza-ali-/
PROFESSIONAL
EXPERIENCE
Senior LLM Trainer
Turing
June 2024 - Present
Conducted Supervised Fine-Tuning of large language models,
optimizing them for specific tasks and domains, ensuring high
accuracy and relevance in generated content.
Applied RLHF techniques to refine model behavior, enhancing
performance based on user interactions and feedback loops.
Developed and maintained complex training notebooks for
LLMs, facilitating reproducible and efficient training processes
with comprehensive documentation.
Performed in-depth evaluation of LLM outputs, utilizing
metrics such as BLEU scores and perplexity, and implemented
iterative model optimization to improve robustness and
generalization across diverse datasets.
Senior Fullstack Engineer
Devsinc
November 2021 - June 2024
Engineered and deployed scalable we applications using Django,
adhering to modern design patterns like MVC and RESTful
architecture.
Led the integration of front-end technologies like ReactJS to
enhance interactivity and user experience.
Implemented continuous integration/continuous deployment
(CI/CD) pipelines using GitHub Actions and AWS, reducing
deployment times and improving release processes.
Developed and maintained APIs using Django REST Framework for
mobile applications, ensuring robust scalability and security.
Collaborated with cross-functional teams to define and achieve
project objectives, consistently meeting deadlines and budget
requirements.
Software Engineer
Netroots Technologies
July 2020 - November 2021
Spearheaded the development of data-driven applications
using Django and Flask.
Integrated Laravel and PHP to enhance backend capabilities
and optimize the performance of complex web applications.
Collaborated with data scientists to implement machine
learning models and integrate them into web applications,
utilizing both Python and PHP for various components.
Worked with cloud services like AWS and Cloudflare to deploy
and manage web applications, leveraging both Python and
PHP environments.
Implemented robust security protocols using Laravel's built-in
features and ensured compliance with web standards.
Developed and maintained PHP scripts and Laravel- based
services to handle specific backend tasks such as data
synchronization and user management functionalities.
PORTFOLIO
Sales Forecasting Application
Tech Stack: Django, Pandas, Scikit-Learn, AWS
Developed a sales forecasting application that uses historical sales data to predict future trends.
Implemented machine learning algorithms, including ARIMA (AutoRegressive Integrated Moving
Average) for time series forecasting, Random Forest Regression for capturing complex patterns in
the data, and XGBoost for enhancing forecast accuracy. Integrated the solution into a Django web
application, providing real-time predictive analytics.
Healthcare Analytics Platform
Tech Stack: Flask, TensorFlow, PostgreSQL, Cloudflare
My major responsibility was fine-tuning LLMs to process and extract valuable insights from vast
amounts of unstructured patient data. I utilized transformer-based models, such as BERT and GPT,
to develop models capable of understanding medical terminologies and providing accurate analysis.
These models were then integrated into a Flask-based platform that I built, which served as a robust
analytics tool for healthcare professionals.
ChildCareEd
Tech Stack: Laravel, React.js, Moodle API, Zoom API
Developed an online learning management system that integrates with Moodle's API to provide a
seamless learning experience. Added functionalities for Zoom integration to enable virtual
classrooms and enhanced scheduling capabilities.
