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AI Engineer with 1+ years in Python, AI/ML & Cloud
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Assessing your cultural and operational fit
Highly motivated Software Engineer and AI enthusiast with 1.7 years of experience in developing and deploying LLM-integrated Python backend services, AI chatbots, and RAG pipelines. Proficient in prompt engineering, cloud deployments (AWS), and machine learning models. A Gold Medalist and Rector's List honoree, skilled in optimizing workflows and building robust, scalable AI solutions.
FAST National University of Computer and Emerging Sciences
Bachelor of Science · Computer Science
August 1, 2022 – May 1, 2026
FAST NUCES
Teaching Assistant – AI, ML & Mobile Software
August 1, 2025 – Present
Islamabad, Islamabad Capital Territory, Pakistan
Eighty4Digital
Software Engineer / AI Engineer
June 1, 2025 – March 1, 2026
Lichfield, England, United Kingdom
Network Traffic Anomaly Detection
November 1, 2025 – November 1, 2025
Built unsupervised ML system in Python (Isolation Forest, LOF, DBSCAN) over raw network logs; engineered features and visualized patterns with PCA and t-SNE.
Multimodal RAG Pipeline
October 1, 2025 – October 1, 2025
Built a multimodal RAG system processing PDFs, images, and text using PyMuPDF, BLIP, CLIP, ChromaDB/FAISS, and GPT-3.5-turbo with a Gradio interface. Implemented hybrid retrieval combining dense vector search and cross-modal embeddings for document understanding tasks.
View ProjectFinal - GenAI Financial Advisory Platform
August 1, 2025 – June 1, 2026
Designed and deployed RAG pipelines using LangChain, FAISS, and ChromaDB with LLaMA 3.3 70B (Groq) and Gemini for context-aware financial query handling. Built AI agents and prompt engineering workflows for credit scoring and risk assessment; FastAPI backend with MongoDB and Redis, deployed on AWS. Integrated GitHub Actions CI/CD and DVC for automated model retraining; React/TypeScript frontend consuming AI-powered REST APIs.
PSL RAG Chatbot
January 1, 2025 – January 1, 2025
Developed a domain-specific RAG chatbot using LangChain, vector embeddings, and a Python backend; designed chunking strategies and retrieval pipelines for structured sports data.
Gold Medalist, Rector's List Fall 2025
FAST National University of Computer and Emerging Sciences
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's project portfolio is diverse, covering financial advisory, sports data, network anomaly detection, and multimodal RAG, indicating adaptability and a broad interest in AI applications. The experience at Eighty4Digital as a Software Engineer/AI Engineer aligns well with a target AI Engineer role, demonstrating practical application of AI in a professional setting. The academic achievements (Gold Medalist, Rector's List) and TA role suggest a strong work ethic and a collaborative spirit. The breadth of technical skills, from various LLMs and vector databases to cloud platforms and MLOps tools, indicates a willingness to explore and master new technologies, which is a good cultural fit for an innovative AI team.
Soft Skills & Operational Fit
The candidate's project descriptions and experience demonstrate a strong ability to work on complex, end-to-end AI/ML projects. The role as a Teaching Assistant suggests good communication and mentoring skills. The ability to author SOPs and technical documentation indicates a focus on operational excellence and cross-functional collaboration. The candidate's academic background and project diversity suggest a proactive and continuous learning mindset, which is crucial for an AI Engineer role.