About Me
Founding AI Engineer | Top-Ranked AI Student
I bridge the gap between academic research and production-grade software. Currently completing my BS in AI as the Top-Ranked Student (Rank 1/Cohort, 4x Gold Medalist), I simultaneously serve as the Founding AI Engineer at Entracloud.
My focus is on Engineering, not just Modeling. While I have a deep grasp of algorithms (3D CNNs, Transformers, MIL), my core strength lies in building the infrastructure to serve them—wrapping models in FastAPI, orchestrating pipelines with Airflow, and deploying on AWS.
I have spent the last few years moving beyond "making it work" to "making it scale." As I approach graduation (2026), I am looking for a challenging AI Engineering role where I can solve complex problems and ship code that matters.
My Mission
"To build scalable, production-ready AI systems that solve real-world problems, ensuring that intelligence is not just theoretical but impactful."
Experience
My professional journey in the AI industry.
Founding AI Engineer
Entracloud
- Architected production-grade AI systems, wrapping ML models in FastAPI services for seamless cloud integration.
- Optimized inference infrastructure, reducing latency by 40% for real-time user applications.
- Led the translation of business requirements into technical AI specifications and scalable software solutions.
Teaching Assistant
FAST (NUCES)
- Assisted in teaching Deep Learning, Programming for AI, and Database Systems to 100+ undergraduates.
- Mentored students on software engineering best practices, including API design, Dockerization, and Git workflows.
NLP Intern
Elevvo Pathways
- Developed an NLP text classification pipeline using Python and Scikit-learn to categorize unstructured text data.
- Implemented data preprocessing techniques (tokenization, lemmatization) to improve model inference accuracy.
AI Solutions Engineer
Moonbridge Systems
- Delivered 200+ AI solutions for global clients, serving as the lead engineer for high-volume agency accounts.
- Developed custom RAG pipelines and chatbot agents using LangChain and OpenAI, maintaining a 5-star success rate.
- Managed full lifecycle deployment of AI microservices, handling client requirements from concept to production.
Education
Academic background.
Bachelor of Science in Artificial Intelligence
FAST - National University of Computer & Emerging Sciences
Achievements
Recognition and certifications.
- AWS Cloud Solutions Architect Track: Completed comprehensive 5-course certification series on cloud infrastructure.
- Reply AI Coding Contest: Secured Top 29% Global Rank in an algorithmic problem solving challenge.
- Technical Certifications: Generative AI & LLMs (Duke Univ), Advanced SQL, Flask, Prompt Engineering.
Certifications
Core AI and infrastructure credentials, focused on production-grade engineering.
GenAI - How LLMs Work
Duke University
Credential ID: Q92AMX8SBD1Z
Skills: Generative AI · Large Language Models
Prompt Engineering
freeCodeCamp
Skills: Artificial Intelligence (AI) · Large Language Models (LLM) · Prompt Engineering
Creating Web App with Python and Flask
Coursera
Credential ID: FDVK5863MFK8
Skills: Flask · Web Development · REST APIs · Python · Back-End Web Development
Relational Database and SQL
Coursera
Credential ID: USXDWYK8CD5L
Skills: SQL · Relational Databases · Data Modeling · Database Design