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AI Engineer with less than a year in Generative AI, LLM fine-tuning, RAG pipelines, and MLOps with 0
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AI Engineer specializing in Generative AI, LLM fine-tuning, RAG pipelines, prompt engineering, and MLOps. Delivered measurable impact across FinTech, SaaS, and autonomous infrastructure — 12% accuracy gains, 80% reduction in manual intervention, and zero-downtime Kubernetes deployments. Proficient in LangChain/LangGraph, vector databases, embeddings, and cloud-native AI deployment on Azure AKS.
National University of Computer & Emerging Sciences (FAST-NUCES)
B.S. Software Engineering · Software Engineering
August 1, 2022 – June 30, 2026
Upwork - Alpha Data Science
Freelance NLP / ML Engineer
April 1, 2026 – May 1, 2026
Malaysia
Autonomous Self-Healing Infrastructure
January 1, 2025 – June 1, 2026
Built LangGraph agentic system for real-time microservice failure detection and auto-resolution, cutting manual intervention by 80% across Kubernetes clusters. Integrated Prometheus/Loki for AI-driven anomaly detection; implemented PostgreSQL audit trails for 100% data-privacy compliance and full AI decision traceability.
View ProjectFinTech Adaptive Forecasting System
January 1, 2025 – December 31, 2025
Architected microservices platform with continuous LSTM/Transformer retraining on live market data, automated drift detection (MAE/RMSE), and zero-downtime Kubernetes deployments.
Nuvoltero
January 1, 2024 – December 31, 2024
Engineered automated content repurposing pipeline that extracts and transcribes audio from YouTube videos using OpenAI Whisper, processing 100% of input without manual intervention. Implemented RAG pipeline with Gemini API to contextualize video transcripts and generate platform-optimized promotional posts for LinkedIn and Instagram, reducing content creation time by ~70%. Built scalable FastAPI backend with parallel transcription and generation workers, sustaining concurrent request throughput for multi-user production workloads.
ILM-ORA: AI Career & University Recommendation System (FYP)
January 1, 2024 – December 31, 2025
Fine-tuned BERT for Aspect-Based Sentiment Analysis achieving 12% accuracy gain over baseline; led scalable FastAPI microservices integrating HEC/alumni data for personalized university and career guidance.
Introduction to Artificial Intelligence
LinkedIn Learning
June 1, 2026 – Present
Advanced Learning Algorithms
Stanford / Coursera
July 1, 2024 – Present
Supervised Machine Learning: Regression & Classification
DeepLearning.AI / Coursera
July 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects showcase a strong interest and practical application in diverse AI domains, including autonomous systems, FinTech, and recommendation engines. This breadth of interest and hands-on project experience aligns well with an innovative and fast-paced AI engineering culture. The freelance role, though short, indicates a proactive and self-driven individual. However, the lack of extensive team-based professional experience means cultural fit regarding long-term collaboration and mentorship within a corporate environment is less clear.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a results-oriented approach, focusing on measurable impact (e.g., 80% reduction in manual intervention, 12% accuracy gain). The freelance experience suggests an ability to deliver production-quality work independently. However, with limited professional experience, the candidate's operational fit in a senior team setting, including collaboration and complex problem-solving under pressure, is yet to be fully demonstrated.