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AI Engineer with less than a year in AI-powered systems & machine learning pipelines.
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Assessing your cultural and operational fit
Detail-oriented Computer Science professional with hands-on experience building AI-powered systems, voice agents, and machine learning pipelines. Proficient in designing end-to-end AI solutions spanning STT/TTS integration, LLM inference, computer vision, and RESTful AI backends. Experienced in data analysis, ML model building, and evaluation. Strong foundation in OOP, data structures, and scalable system design.
FAST NUCES, Lahore
Bachelors in Computer Science · Computer Science
January 1, 2022 – January 1, 2026
Turing
Data Scientist (Freelance)
November 1, 2025 – March 1, 2026
India
FAST NUCES, Lahore
Lab Demonstrator
August 1, 2025 – January 31, 2026
India
Intellicore Tech
JavaScript Intern
June 1, 2025 – August 31, 2025
India
AI Voice Calling Agent – Real-Time Customer Support Agent
January 1, 2026 – Present
Built a complete real-time AI voice agent pipeline for customer support: Telnyx handles inbound/outbound call routing and media streaming; Whisper transcribes caller audio (STT) in real time. Integrated Gemma 3-4B as the local LLM for intent understanding and response generation, optimized for low-latency inference to meet conversational response time requirements. Piped LLM output through Microsoft Edge TTS for natural-sounding voice synthesis, completing the full STT → LLM → TTS loop with minimal end-to-end latency. Designed the agent to handle dynamic customer queries, maintain conversation context across turns, and handle edge cases like silence and interruptions.
Skin Sathi – AI Skin Disease Detection & E-commerce App
August 1, 2025 – May 31, 2026
Designed and trained a MobileNetV3-based image classification model for skin disease detection; integrated model inference into a FastAPI backend serving predictions via REST API. Built an AI chatbot backend for symptom-based consultation and a doctor appointment scheduling system with conflict resolution logic. Architected end-to-end data pipeline: image upload → preprocessing → model inference → diagnosis storage in PostgreSQL → response delivery to mobile client.
IHC Pharmacy – Pharmacy Management System
July 1, 2025 – August 31, 2025
Built RESTful backend APIs for invoice generation, product/user management; integrated analytics endpoints for daily, monthly, and annual sales reporting. Deployed on DigitalOcean. Live: https://ihc-pharmacy.vercel.app/
Cultural Fit Analysis
The candidate's project diversity, ranging from a pharmacy management system to advanced AI voice agents and skin disease detection, indicates a broad interest in applying technical skills to various domains. The 'AI Engineer' target role aligns well with the candidate's project focus on AI-powered systems, LLM inference, and computer vision. However, the experience level is low, which might impact cultural fit for a senior role requiring extensive industry experience. The freelance and intern roles suggest adaptability and a willingness to learn.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as Problem Solving, Leadership, Team Work, Critical Thinking, and Time Management. Project descriptions indicate collaboration (Agile sprints, PR reviews) and leadership (designing and architecting systems). The 'Lab Demonstrator' role suggests an ability to explain complex technical concepts. These attributes indicate a good operational fit for roles requiring independent problem-solving and team collaboration.