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Hassan AhmedHA
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Hassan Ahmed

@hassanahmed11

Full-stack developer and AI/ML engineer at Microsoft, building RAG legal tools and LLM-powered agents.

India
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At InfosysSpringBoard, I engineered an NLP-driven QA agent that uses prompt engineering and LLM chaining to generate context-aware test scenarios from PRDs and automate multi-step SDLC test orchestration.

As a Microsoft Learn Student Ambassador at Microsoft, I deliver technical workshops on Azure, GitHub Actions, Python, and AI/ML, and mentor students on full-stack and cloud-native projects.

On LexVerify, I built a neuro-symbolic legal compliance engine combining RAG, Prolog logic, and Z3 constraint checks. I also developed LegiCall AI, a real-time legal call assistant that uses speech-to-text and RAG to identify risks and generate transcripts and PDF reports.

As a FullStackDeveloperIntern at AICTE Edunet Foundation, I developed web applications using the MERN stack, REST APIs, and Flask, integrating AI/ML models into real-time analytics pipelines. I’m a computer science undergraduate specializing in AI/ML and full-stack development, and a 9× hackathon winner.

Experience

Work history, roles, and key accomplishments

IS

AI Intern

Infosys SpringBoard

Jun 2026 - Sep 2026 (3 months)

Engineered an NLP-driven QA agent using prompt engineering and LLM chaining to generate context-aware test scenarios from PRDs and automate multi-step SDLC test orchestration.

AF

FullStack Developer Intern

AICTE Edunet Foundation

Jul 2024 - Sep 2024 (2 months)

Developed full-stack web applications using MERN stack, REST APIs, and Flask; integrated AI/ML models for real-time analytics pipelines.

Education

Degrees, certifications, and relevant coursework

Indian Institute of Technology Ropar logoIR

Indian Institute of Technology Ropar

Minor, Artificial Intelligence

2024 -

Pursuing a Minor in Artificial Intelligence, expected to complete in June 2026.

Anurag University logoAU

Anurag University

B.Tech, Computer Science & Engineering

2023 -

Grade: 8.34/10

Pursuing a Bachelor of Technology in Computer Science and Engineering with a GPA of 8.34/10, expected to graduate in May 2027.

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