I am passionate about bridging AI, cloud, and software development to drive digital innovation.
About Me
Designing Scalable AI for a Smarter Future
Consultant with over 5 years of industry experience and a MSc in Advanced Computer Science (Artificial Intelligence) from The University of Manchester. Skilled in building scalable, intelligent systems by combining AI, cloud-native architecture, and software engineering. Few achievements include:
- Leading the development of POC for Citizenly, a citizen journalism platform with AI-based moderation pipeline
- Built a GenAI-powered POC automating insurance claims processing in under 60 seconds
- Advised clients across banking, public sector, and enterprise on cloud and AI transformation
- Identified $1.3B+ in potential savings through a TCO and benchmarking study for a Saudi government cloud platform
- Designed and deployed secure, high-performance cloud solutions across AWS, GCP, and OCI; led AWS upskilling initiatives for Deloitte Consulting & Risk Advisory
Seeking for roles within data science and machine learning in the UAE market.
Education
Master of Science in Advanced Computer Science
The University of Manchester
Specialized in Artificial Intelligence. Graduated with Merit
Bachelor of Engineering (Hons.) in Computer Engineering
BITS Pilani Dubai Campus
Specialized in Computer Science. Graduated with First Division
All India Senior School Certificate (High School)
The Indian High School
Specialized in Computer Science. Graduated with 91% percentile
Work Experience
Skills
Machine Learning & AI
Programming Languages
Data Science
Databases & Tools
Frameworks
Cloud
Projects
ReNewTrade
An innovative decentralized platform that enables individuals generating surplus solar energy at home to trade their excess energy with factories and companies, while also earning carbon credits and monetary rewards.
Multi-Model Approach to Relation Extraction
This project focuses on Relation Extraction, comparing two major approaches: a traditional machine learning model and a graph-based neural network. We implement XGBoost as our traditional model and Graph Convolutional Networks (GCN) as our graph-based approach, utilizing the re-DOCRED dataset. For both models, the input data is pre-processed and converted into BERT embeddings to capture rich contextual features.
Industry Project - AI Strategy
WindÅ, a platform connecting Gen Z talent with purpose-driven employers, tasked us with addressing their manual data scraping challenges and scaling needs to support employers globally. Their mission is to empower young professionals with transparent CSR, sustainability, and DEI data, and our team developed an AI strategy report detailing their pain points, key AI trends and use cases within the sector, what tools could be utilized to extract them, several AI opportunities that can be leveraged and finally an implementation roadmap.
Certifications
Contact Me
Get In Touch
I'm currently available for full-time positions. If you're looking to hire, feel free to reach out.