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AI Engineer with 2+ years in LLMs, Computer Vision & Intelligent Automation
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Software Engineering graduate with expertise in LLMs, computer vision, and intelligent automation. Builds production-grade AI pipelines that transform unstructured data into structured value — reducing manual effort, accelerating workflows, and enabling smarter decision-making at scale.
COMSATS University Islamabad
BSc · Software Engineering
September 1, 2022 – July 1, 2026
Kaisaro
Machine Learning Engineer
September 1, 2025 – November 1, 2025
United States
Merchaint
Artificial Intelligence Engineer
February 1, 2025 – Present
Singapore
Revelo (for Anthropic)
AI Data Annotator / Code Reviewer
February 1, 2025 – March 1, 2025
Colombia
eMumba
Full Stack Developer (Intern)
July 1, 2024 – August 1, 2024
Islamabad, Islamabad Capital Territory, Pakistan
AI-Powered Data Extraction Pipeline
June 24, 2026 – Present
• Designed AI-driven pipeline automating data extraction from invoices, receipts, and forms using OCR (AWS Textract), image preprocessing, and LLM-based normalization. • Reduced manual data entry by 70% with post-processing logic and production-ready architecture.
View ProjectProduct Mapping via Vector Embeddings
June 24, 2026 – Present
• Semantic product matching system using cosine similarity for automated reconciliation across inconsistent naming.
View ProjectMulti-Source AI Search Platform
June 24, 2026 – Present
• Integrated YouTube, NewsAPI, and Twitter APIs with FAISS vector search over 50K+ embeddings; RAG-based Q&A with sentiment analysis. Optimized response time from 45s to 25s.
View ProjectRAG-Bot: Local Document Q&A Chatbot
June 24, 2026 – Present
• Local document Q&A chatbot using Mistral 7B (Q4) with ChromaDB and HuggingFace embeddings. Streamlit UI for real-time interaction.
View ProjectBrain Tumour Classification
June 24, 2026 – Present
• Deep learning model for brain tumor classification using fine-tuned MobileNetV2 on Roboflow dataset.
View ProjectReal Estate Listing Website
June 24, 2026 – Present
• Full-stack app for browsing, listing, and managing properties with authentication and responsive UI.
View ProjectBudget Tracker
June 24, 2026 – Present
• Budget tracking application built during eMumba internship.
View ProjectCultural Fit Analysis
The candidate's diverse project portfolio, ranging from AI search platforms to document processing and even web development, indicates a broad interest and willingness to explore different technical areas. Their experience across various companies (Merchaint, Revelo, Kaisaro, eMumba) and roles (AI Engineer, ML Engineer, Full Stack Intern) suggests adaptability and a desire for continuous learning. The focus on building production-ready systems and optimizing workflows aligns well with a results-driven culture. However, the relatively short tenure in some roles might warrant further inquiry into career stability and long-term commitment.
Soft Skills & Operational Fit
The candidate's project descriptions and work experience highlight a proactive approach to problem-solving (e.g., optimizing response times, reducing manual workload by 70%). Their role as an AI Data Annotator/Code Reviewer for Anthropic suggests an ability to critically evaluate and improve AI systems, which is crucial for operational excellence. The mention of contributing to full-stack development and bug resolution indicates adaptability and a team-oriented mindset.