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AI Engineer with less than a year in LLMs & RAG
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 Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Voice AI systems. Experienced in architecting multi-agent automation platforms, campaign dialers, and knowledge-base AI agents using FastAPI, OpenAI, Google LLMs, vector databases, and cloud deployment (GCP). Strong backend foundation with hands-on experience building production-ready AI systems that automate sales workflows and intelligent document retrieval.
Superior University
BS · Software Engineering
N/A – Present
Excels Tech Solutions LLC
Junior AI Engineer
September 1, 2025 – Present
Lahore, Punjab, Pakistan
Octaloop Technologies Lahore
AI Developer Intern
January 1, 2025 – March 1, 2025
Lahore, Punjab, Pakistan
Ezitech institute Rawalpindi
ML Engineer Intern
December 1, 2024 – February 1, 2025
Rawalpindi, Punjab, Pakistan
AI Voice Agent Platform (Multi-Agent Campaign System)
June 27, 2026 – Present
Designed end-to-end AI voice automation system using Twilio, OpenAI, and ElevenLabs. Automated outbound lead engagement and qualification. Integrated RAG-powered knowledge base agents. Deployed backend using FastAPI on GCP.
Legal RAG
June 27, 2026 – Present
Built semantic legal document retrieval system. Implemented custom chunking and embedding pipeline. Improved document search relevance using vector database.
Sales Automation
June 27, 2026 – Present
Used Fastapi, vector databases, python, openai gpt5 and gpt40, react, html, css, pandas, sklearn.
Cultural Fit Analysis
The candidate's project portfolio, including 'Legal RAG', 'Sales Automation', and 'AI Voice Agent Platform', demonstrates a diverse application of AI skills across different domains. This breadth, combined with experience in both internship and junior engineer roles, suggests adaptability and a willingness to tackle varied challenges. The focus on practical, deployable solutions aligns well with a product-driven culture.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive approach to building end-to-end solutions and integrating various technologies. The focus on automation and practical application suggests a results-oriented mindset. However, without specific behavioral assessment data, it's difficult to fully assess soft skills like teamwork or stress handling.