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Taha Rasheed

@taharasheed

Software Engineer at Tintash building OnBeacon customer-feedback intelligence with RAG, citations, and secure integrations.

Pakistan

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At Tintash, I developed a customer-feedback intelligence feature for OnBeacon, Tintash’s AI-powered UI/UX evaluation platform. I integrated Google Docs, Notion, and Granola through OAuth and MCP, then built a RAG pipeline connecting customer feedback with relevant UI/UX findings.

As a Data Engineering Intern at Systems limited, I implemented an ELT pipeline using AWS S3, Snowflake, and Python for monthly Parquet taxi data. I’ve also built AI projects including a career advisor with role matching and course recommendations, and a support console with evidence-backed investigations and reviewable agent decisions.

Experience

Work history, roles, and key accomplishments

Current

Software Engineer

Current

Tintash

Jun 2026 - Present (4 months)

Developed a customer-feedback intelligence feature for OnBeacon, integrating Google Docs, Notion, and Granola through OAuth and MCP. Built a RAG pipeline using MiniLM embeddings, semantic search, and Claude to connect customer feedback with relevant UI/UX findings.

Django Next.js PostgreSQL OAuth MCP RAG MiniLM Claude Semantic Search

Data Engineering Intern

Systems Limited

Jul 2025 - Aug 2025 (1 month)

Designed and implemented an end-to-end ELT pipeline to ingest ~6 GB of monthly Parquet taxi data, staging in Snowflake and populating a production-grade star schema. Accelerated load and query performance by parallelizing jobs, right-sizing the warehouse, and applying clustering on time keys.

Python Snowflake S3 ELT Parquet SQL Data Warehouse Performance Optimization

Data Analyst Intern

Akademos

Jun 2024 - Jul 2024 (1 month)

Optimized a dashboard for L'Oréal to analyze boycott impacts on sales and public sentiment, delivering actionable insights for client presentations. Cleaned and organized consumer survey data and developed a scalable Power BI dashboard to showcase research capabilities.

Power BI Data Cleaning Dashboarding Data Analysis Consumer Data