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Sayed Sohail Pasha Peerzade

Available to hire

I am a data science and AI engineering professional with hands-on experience designing and deploying AI-powered decision-support systems for enterprise environments.

About

I am a data science and AI engineering professional with hands-on experience designing and deploying AI-powered decision-support systems for enterprise environments. I build scalable ML models, optimize code, and integrate AI capabilities into robust software architectures.

My experience spans data science, software development, and AI-powered platforms, including NLP workflows, RAG-based retrieval, and CI/CD pipelines. I value collaboration, code quality, and delivering practical solutions that drive business impact.

  • 4 years' experience
  • Joined June 2024

Industry experience

  • Software & Internet
  • Professional Services
  • Computers & Electronics
  • Media & Entertainment
  • Retail
  • Education
  • Other

Work experience· 27 roles

AI Engineer Intern · Insight DevMar 2024 – Oct 2025 · 1 yr 8 mos

Led the development of a modular and scalable architecture for a Legal AI platform, focusing on creating intuitive and responsive user interfaces catering to general users and legal professionals. Integrated NLP models (OpenAI's GPT-4, Cohere) into workflows to enable AI-driven summarization and recommendation capabilities. Developed and refined AI-driven chat functionalities within legal cases, employing LangChain and RAG for context-aware, legally accurate conversations, thus improving user engagement and satisfaction. Architected an optimized chunking strategy for large-scale legal documents, enabling efficient processing within distributed systems and maintaining data integrity for enhanced AI-based analysis. Evaluated performance of RAG models using ROUGE, BLEU, and ARES, providing actionable insights to improve retrieval and summarization capabilities for AI-powered platforms. Integrated Google and Facebook OAuth social logins, enhancing user accessibility and security. Maintaine

AI Engineer Intern · Insight DevMar 2024 – Oct 2025 · 1 yr 8 mos

Led development of a modular and scalable architecture for a Legal AI platform; integrated NLP models (OpenAI GPT-4, Cohere) into workflows for AI-driven summarization and recommendations; developed AI-powered chat functionalities using LangChain and RAG; designed optimized chunking strategy for large-scale documents; evaluated RAG models with ROUGE, BLEU, ARES; implemented Google and Facebook OAuth logins; maintained CI/CD with linting and testing; built a scalable API layer; implemented UI testing with Jest and Cypress.

AI Engineer Intern · Insight Dev, GlasgowMar 2024 – Oct 2025 · 1 yr 8 mos

Led development of a modular and scalable architecture for a Legal AI platform, focusing on intuitive UI/UX for general users and legal professionals. Integrated NLP models (OpenAI GPT-4, Cohere) for AI-driven summarization and recommendations. Developed AI-driven chat functionalities using LangChain and RAG for context-aware conversations. Engineered an optimized chunking strategy for large-scale legal documents and evaluated RAG performance using ROUGE, BLEU, and ARES. Integrated Google and Facebook OAuth logins and maintained CI/CD pipelines with testing frameworks (Jest, Cypress). Architected a scalable API layer for distributed data exchange.

AI Engineer Intern · Insight Dev, GlasgowMar 2024 – Oct 2025 · 1 yr 8 mos
AI Engineer Intern · Insight DevMar 2024 – Oct 2025 · 1 yr 8 mos
AI Engineer Intern · Insight DevMar 2024 – Oct 2025 · 1 yr 8 mos
AI Engineer Intern · Insight DevMar 2024 – Oct 2025 · 1 yr 8 mos
AI Engineer Intern · Insight DevMar 2024 – Sep 2025 · 1 yr 7 mos

Education· 18

M Sc Computer Science · Queen Mary University, London2030 – 2025
Bachelor of Engineering in Information Science and Technology · PES Institute of Technology, Bangalore2030 – 2025
MSc Computer Science · Queen Mary University of London2030 – 2025
Bachelor of Engineering in Information Science and Technology · PES Institute of Technology, Bangalore2030 – 2025

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