AI Engineer with 1+ years in Deep Learning, Computer Vision & Gen AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer specializing in deep learning, computer vision, and Gen AI. Experienced across the full ML lifecycle from PyTorch/TensorFlow architectures to RAG pipelines, LoRA fine-tuning, Agentic AI integration, and optimized edge deployment via quantization.
National University of Sciences & Technology (NUST CEME)
M.S. · Artificial Intelligence
August 1, 2024 – Present
University of Lahore
Bachelor's · Software Engineering
August 1, 2020 – June 30, 2024
RISETech
ML Engineer (Contract)
November 1, 2025 – April 1, 2026
Islamabad, Islamabad Capital Territory, Pakistan
Self-Employed
Freelance AI Automation Engineer
September 1, 2025 – Present
India
LangChain & Streamlit LLM Chatbot for Automated EDA
June 5, 2026 – Present
Engineered an autonomous dual-agent pipeline (LangChain, GPT-4) for automated EDA, converting natural language to MySQL and dynamically rendering real-time Matplotlib/Plotly visualizations via Streamlit.
Multimodal RAG Recommendation Engine
June 5, 2026 – Present
Engineered a Multimodal RAG system utilizing LangChain, Streamlit, and AWS Bedrock to process cross-modal queries, optimizing retrieval via an automated S3-to-FAISS vector pipeline powered by Titan Embeddings.
Autonomous Text-to-SQL LLM Agent
June 5, 2026 – Present
Engineered an autonomous LangChain/GPT-4 Text-to-SQL pipeline with a self-correcting validation loop for Databricks/Snowflake, deployed via Streamlit on AWS EC2.
Cultural Fit Analysis
The candidate's project portfolio demonstrates a strong interest and practical application in cutting-edge AI technologies, particularly LLMs and autonomous agents, which aligns well with an AI Engineer role. The blend of academic pursuit (M.S. in AI) and practical project work, including freelance experience, suggests a driven individual. The projects are diverse within the AI domain, showcasing adaptability and a broad skill set relevant to modern AI engineering.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and problem-solving approach, focusing on automating complex processes and optimizing solutions. The freelance experience suggests self-reliance and client-facing skills. However, without direct assessment data, specific soft skills like teamwork or stress handling cannot be definitively evaluated.