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AI Engineer with less than a year in Generative AI, LLMs, and Full-Stack Development.
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An aspiring AI/ML Engineer currently pursuing a Bachelor of Computer Science. Possessing a strong foundation in Python, TensorFlow, PyTorch, and various AI/ML models including DistilBERT, Wav2Vec 2.0, and Whisper. Eager to apply skills in large language models like Gemini, GPT, and LLAMA, coupled with expertise in Generative AI techniques like RAG and Prompt Engineering, to develop innovative and impactful AI solutions. Demonstrated practical experience through multiple projects involving multimodal emotion detection, voice agents, medical chatbots, and web application development.
National University of Technology (NUTECH), Islamabad
Bachelor of Computer Science · Computer Science
N/A – June 30, 2026
AI Medical Chatbot with RAG (HuggingFace & LangChain)
June 5, 2026 – Present
Built an AI-powered medical chatbot using Retrieval-Augmented Generation (RAG) for accurate and context-aware medical responses. Integrated HuggingFace embeddings, FAISS vector database, and Mistral-7B LLM for intelligent medical information retrieval and conversation. Applied prompt engineering, safety filtering, and backend optimization to reduce hallucinations and ensure low-latency real-time interaction through a Streamlit UI.
Movie Recommendation System (Heroku Deployment)
June 5, 2026 – Present
Developed a content-based movie recommendation system using TF-IDF vectorization and cosine similarity. Created a Flask-based user interface and deployed the complete application on Heroku for public access.
FastAPI PostgreSQL Task Manager API
June 5, 2026 – Present
Built a secure REST API using FastAPI, PostgreSQL, and SQLAlchemy with JWT-based authentication. Implemented protected CRUD operations for secure task management. Implemented secure authentication, database migrations, and scalable backend architecture. Designed modular API routes, database models, and ORM relationships for secure task management and persistent storage.
View ProjectAI Voice Agent | Appointment Scheduler for Dental Clinic
June 5, 2026 – Present
Built an AI voice agent using VAPI and Make.com for automated appointment scheduling via natural voice interactions. Solved the problem of manual call handling by automating appointment booking and calendar management. Integrated Google Calendar via Make.com scenarios for real-time scheduling, slot suggestions, and double-booking prevention. Improved operational efficiency by reducing staff workload, minimizing booking errors, and providing 24/7 availability.
Mental Health & Motivational AI Companion (Funsol Technologies Pvt. Ltd.)
June 5, 2026 – Present
Developed an AI-powered mental wellness companion that analyzes text, voice, and video emotions to provide personalized emotional support and motivational interaction. Integrated AI/ML models such as DistilBERT, Wav2Vec 2.0, Whisper, and LLMs for multimodal emotion detection and intelligent conversation flow. Built a FastAPI-based backend with sentiment analysis, personalized response generation, and real-time AI interaction to improve user engagement and emotional well-being.
Cultural Fit Analysis
The candidate's projects demonstrate a diverse application of AI technologies, from mental wellness companions to medical chatbots and voice agents, indicating a broad interest and adaptability. The focus on practical, problem-solving applications suggests a results-oriented mindset. The inclusion of both professional and personal projects, along with a strong emphasis on modern AI/ML tools and techniques, indicates a proactive and continuous learning approach, which is a good cultural fit for an innovative AI team. The candidate is still pursuing a Bachelor's degree, which might indicate a strong academic foundation but limited real-world team experience.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as Problem Solving, Analytical Thinking, Team Collaboration, Adaptability, Effective Communication, and Critical Thinking. These are essential for an AI Engineer role, indicating a good operational fit for collaborative and complex problem-solving environments. The project descriptions demonstrate an ability to identify problems and implement AI-driven solutions.