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AI Engineer with less than a year in Python, AI/ML, and LLM orchestration.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated Software Engineer Intern with 3 months of hands-on experience in software development, design patterns, and containerization using Docker. Proficient in Python and familiar with frameworks like Django and FastAPI. Demonstrated ability to develop AI-powered solutions, including medical report analysis with OCR and RAG-based chatbots using open-source LLMs. Eager to contribute to innovative projects and continuously learn new technologies.
UBIT - University Of Karachi
Bachelor of Science · Software Engineering
August 1, 2021 – June 30, 2025
Tixsee Lab LLC
Software Engineer Intern
February 1, 2023 – April 1, 2023
India
Medical Report Analysis using OCR and opensource LLM
April 1, 2023 – June 1, 2026
Developed an AI-powered medical report analysis system with a custom PyMuPDF extraction pipeline, FastAPI REST backend, and Palmyra-Med-70B (via NVIDIA NIM API) integration, delivering patient-friendly summaries, medical recommendations, and scalable modular architecture
RAG Based Chatbot using opensource chat model
April 1, 2023 – June 1, 2026
Built Inventory Master Pro AI Chatbot using LangChain, LangGraph, Chainlit, and ChromaDB with Gemini Flash 2.0 and Nomic AI embeddings, enabling intelligent inventory management, semantic search, conversational queries, and real-time business insights through scalable LLM orchestration and workflow automation.
Intermediate Python
DataCamp
June 1, 2026 – Present
Intermediate Python For Developers
DataCamp
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest and practical application in the AI domain, aligning well with an AI Engineer role. The diversity in projects (medical report analysis, inventory chatbot) shows adaptability and a broad problem-solving approach. The use of open-source tools and LLMs suggests a proactive learning attitude. The internship experience, though brief, indicates exposure to professional development practices like design patterns and version control. The ongoing education in Software Engineering further supports a commitment to the field.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as people management, collaborative mindset, excellent communication, and willingness to learn and adapt. These indicate a potential for good operational fit within a team environment, especially given the project-based experience which often requires collaboration. However, without direct assessment, these remain self-reported.