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AI Engineer with less than a year in Machine Learning and AI/ML pipelines
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I'm a Computer Science graduate with experience in Machine Learning, DL, AI, LLM integrations, and developing end-to-end AI/ML pipelines and ML models. I also hold a strong background in integrating ML models with full-stack applications and working with cloud services to automate business problems and nuances using AI.
FAST NUCES, Islamabad
Bachelors in Sciences · Computer Science
August 1, 2021 – June 30, 2025
Cloudelligent
AWS AI Support Engineer
February 1, 2026 – Present
India
Elevvo Pathways
Machine Learning Intern
July 1, 2025 – August 1, 2025
India
E-commerce Ad Creative Automation System
December 1, 2025 – December 1, 2025
Developed an automated ad creative generator using T5 Transformer model with FastAPI, for e-commerce products. Architected Apache Airflow for daily product feed updates and model versioning using MLFlow for ads relevancy. Designed custom Prometheus/Grafana monitoring stack to track business metrics like Ad Quality Score.
SarmayaGhar
February 1, 2025 – December 1, 2025
Developed ML/DL models to perform predictive modelling, property valuations and investment forecasting. Designed interactive heatmaps to visualize lucrative investment opportunities for investors, real estate agents. Visualized High-Low ROI on properties through interactive heatmap. Integrated LLM as a real estate advisor for handling user queries.
Context Conversational AI chatbot
November 1, 2024 – November 1, 2024
AI chatbot capable of handling Urdu conversational queries across various contexts. Speech Recognition (ASR) utilizing OpenAI (03) model.
Cultural Fit Analysis
The candidate's projects demonstrate a diverse application of AI/ML, from predictive modeling in real estate to conversational AI and e-commerce ad automation. This breadth of interest and application aligns well with an innovative and problem-solving culture often found in AI engineering teams. The experience as an AWS AI Support Engineer and ML Intern shows a willingness to learn and apply new technologies, which is a positive indicator for cultural fit in a dynamic environment. The academic background from FAST NUCES also suggests a solid theoretical foundation.
Soft Skills & Operational Fit
The candidate lists problem-solving, communication, team collaboration, critical thinking, and attention to detail as soft skills. These are valuable for an AI Engineer role, indicating a potential for effective teamwork and analytical problem-solving. However, without specific examples or assessment data, the depth of these skills cannot be fully validated.