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Rai WaqasRW
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Rai Waqas

@rai-waqas

I build full-stack and AI systems that improve voicebot accuracy, performance, and user experiences.

France
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What I'm looking for

I'm looking for opportunities to build production AI or full-stack products, work with modern NLP and LLM systems, and contribute to scalable, user-focused software in collaborative Agile teams.

At Pi School, I built an Italian-language voicebot intent classification and discovery system that improved automation accuracy from 34% to 90% using fine-tuned BERT, NLP, and calibrated confidence routing.

I've also delivered ASP.NET Core and Angular applications at SDSol Technologies and OakStreet Technologies, including secure APIs, RBAC, payment integrations, SQL optimization, and LLM-powered user assistance. I combine full-stack engineering with machine learning work in recommendation systems, predictive analytics, and conversational AI.

Experience

Work history, roles, and key accomplishments

PS

AI/ML Intern – Voicebot Optimisation

Pi School

Sep 2025 - Nov 2025 (2 months)

Developed an intent classification and discovery system for Italian-language voicebot interactions, improving automation accuracy from 34% to 90%. Implemented a two-step text normalization pipeline and generated calibrated confidence scores for automated routing.

ST

Full Stack Software Developer

SDSol Technologies

Feb 2025 - Jun 2025 (4 months)

Built and maintained production-grade ASP.NET Core and Angular applications for international clients. Designed role-based access control and integrated third-party booking and payment systems, optimizing backend performance by up to 40%.

OT

Associate Software Engineer

OakStreet Technologies

Dec 2023 - Feb 2025 (1 year 2 months)

Developed and maintained full-stack web applications using ASP.NET Core and Angular for enterprise modules. Integrated OpenAI ChatGPT as a conversational assistant and implemented JWT-based authentication with optimized PostgreSQL queries.

DI

Machine Learning Intern

Disruptive.AI

Jun 2023 - Sep 2023 (3 months)

Leveraged natural language processing techniques to improve user assistance applications, focusing on accurate understanding of user intents. Optimized user interaction processes, achieving a 20% improvement in task handling efficiency.

Education

Degrees, certifications, and relevant coursework

National University of Sciences & Technology (NUST) logoNN

National University of Sciences & Technology (NUST)

Bachelor of Software Engineering, Software Engineering

2020 - 2024

Grade: 3.65

Bachelor of Software Engineering with a CGPA of 3.65 from the National University of Sciences & Technology, Islamabad, Pakistan.

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