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AI Engineer with 1+ years in LLM and multimodal agent systems.
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 with hands-on experience building and deploying LLM and multimodal agent systems. Skilled with PEFT/LORA/QLoRA, Unsloth, and modern inference/observability practices. Shipped open source tooling (MCP server on PyPI, 5.7k+ downloads) and production style voice agents (RunPod). Strong at transforming ambiguous problems into measurable, production-ready solutions across NLP, CV, audio, and agentic applications.
National University of Modern Languages, Islamabad, Pakistan
Bachelor's Degree · Software Engineering
August 1, 2022 – June 30, 2026
Teamlift
Junior Data Scientist
January 1, 2024 – December 31, 2024
US
Teamlift
Machine Learning Intern
July 1, 2023 – December 31, 2023
US
WhatsApp Agent (Multimodal input → text output)
June 23, 2026 – Present
Stack: LangGraph, Twilio API, Google Gemini, ElevenLabs, Chroma. Inputs: text, voice, image. Output: text in my style using my info as context.
WhatsApp Chat Analysis App
June 23, 2026 – Present
Streamlit app with analytics/visualizations; privacy-preserving local processing.
Real-time Facial Emotion Detection
June 23, 2026 – Present
CNN + OpenCV + Streamlit + WebRTC
Telegram Agent (Multimodal, persona + cloned voice)
June 23, 2026 – Present
Stack: LangGraph, Telegram API, Google Gemini, ElevenLabs, Chroma. Inputs: text, voice, image. Outputs: text or audio in a cloned voice; persona-aligned responses grounded in personal knowledge.
NotebookLLM & NotebookLLM MCP Server
June 23, 2026 – Present
Published a production-ready MCP server enabling efficient LLM interactions with Jupyter Notebooks (1,200+ downloads).
LaTeX → Python Code
June 23, 2026 – Present
Fine-tuned NuminaMath-7B to generate Python code from LaTeX; SymPy validation and Synthetic data generation with LLMs.
RAG Chatbot
June 23, 2026 – Present
Vector search, semantic chunking, hybrid retrieval; conversational document QA.
Intelloquium Agent: An Intelligent Autonomous Assistant
June 23, 2026 – Present
Core Capabilities: Autonomous web research, full-stack software development, and complex problem decomposition. Multimodal & Real-Time: Real-time voice/video assistance, scene analysis, and rich document generation (PDF/Excel/Slides). Automation & Integration: Browser automation, data analysis pipelines, and seamless extensibility via MCP servers.
Fish-Speech & ChatterBox
June 23, 2026 – Present
Deployed voice TTS agents on RunPod (serverless); chunked long text; Docker multi-stage builds.
Latex to Executable Python Code Generation
July 1, 2024 – August 31, 2024
Capstone Project focused on converting LaTeX to executable Python code.
Generative AI
June 10, 2026 – Present
Large Language Models
June 10, 2026 – Present
Generative AI Fundamentals
June 10, 2026 – Present
Python
Kaggle
June 10, 2026 – Present
Responsible AI
June 10, 2026 – Present
Data Scientist Track
DataCamp
June 10, 2026 – Present
Advanced LLM Bootcamp
NUST & Sky Electric
July 1, 2024 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from autonomous agents to real-time emotion detection and RAG chatbots, demonstrates a broad interest in AI applications and a willingness to explore different domains. The open-source contributions (NotebookLLM MCP server) and experience with various tools and frameworks suggest a collaborative and learning-oriented mindset. The academic background in Software Engineering combined with practical ML/AI roles aligns well with a dynamic, innovation-driven culture. The remote work experience also indicates flexibility.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong ability to work autonomously and deliver complex solutions. The experience in automating data pipelines and integrating various APIs suggests good operational awareness. The focus on real-time and multimodal systems implies adaptability and a proactive approach to emerging technologies. However, without direct assessment data, specific soft skills like teamwork or stress handling cannot be definitively evaluated.