AI Engineer with less than a year in Machine Learning & Full-Stack Development
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Software and AI Engineer with hands-on experience in machine learning, full-stack development, and generative AI systems. Proven ability to design LLM-powered applications, build RAG pipelines, and deploy scalable microservices. Passionate about applying AI, computer vision, and NLP to solve real-world problems.
Information Technology University Lahore (ITU)
B.S. Software Engineering · Software Engineering
August 1, 2023 – Present
NetSol Technologies
AI/ML Trainee
February 1, 2026 – Present
Lahore, Punjab, Pakistan
Information Technology University
Software Engineering Intern
June 1, 2025 – August 1, 2025
Lahore, Punjab, Pakistan
MediSense AI - Medical Report Summarizer & Symptom Checker
June 1, 2025 – August 1, 2025
Engineered GenAI healthcare assistant using OCR (Tesseract) to extract structured data from medical reports (PDFs). Designed RAG pipeline using LangChain + ChromaDB for contextual medical Q&A with semantic retrieval. Integrated LLM APIs (OpenAI/Gemini) for clinical summarization, symptom analysis, and explanation generation. Built Flask backend with modular pipeline (preprocessing, embedding, retrieval, generation). Developed Angular frontend for real-time uploads, chat interaction, and insights visualization.
Full-Stack AI Website Builder
January 1, 2025 – December 31, 2025
Built AI platform generating complete full-stack applications from natural language prompts. Integrated LLM APIs to dynamically generate React components, REST APIs, and database schemas. Designed serverless Node.js architecture with WebContainer for in-browser execution. Implemented persistent KV storage for managing generated apps and metadata. Reduced UI prototyping time by 70% through automated generation.
Real-Time Twitter Sentiment Analysis
January 1, 2024 – December 31, 2024
Built real-time NLP pipeline with preprocessing, TF-IDF/embeddings, and ML models. Designed scalable microservices architecture with ingestion, processing, and visualization layers. Implemented dashboards for sentiment trends with optimized low-latency predictions.
Hybrid CNN for CIFAR-10 Classification (Research)
January 1, 2024 – December 31, 2024
Designed hybrid architecture combining Residual Blocks, Inception Modules, and SE attention. Improved accuracy from 10% baseline to 78.28%. Applied SGD, cosine annealing, augmentation, and Grad-CAM for interpretability.
AWS Academy Data Engineering
AWS Academy
January 1, 2025 – Present
IBM AI Engineering Professional Certificate
IBM
January 1, 2025 – Present
IBM Software Engineering & DevOps Professional Certificate
IBM
January 1, 2025 – Present
Meta Front-End Developer (Advanced React)
Meta
January 1, 2024 – January 1, 2025
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from healthcare AI to full-stack AI website builders and academic research, indicates a broad interest in applying AI across different domains. This diversity, coupled with hackathon achievements, suggests a collaborative and innovative mindset. The pursuit of multiple certifications aligns with a culture of continuous improvement. However, the limited professional experience (internships only) means their adaptability to specific team dynamics and long-term project commitments in a senior role is yet to be fully proven.
Soft Skills & Operational Fit
The candidate demonstrates a proactive attitude towards learning and problem-solving, evidenced by participation in hackathons and multiple certifications. Their project descriptions indicate an ability to work on complex, multi-faceted problems and deliver functional solutions. The experience in an internship setting suggests an understanding of professional work environments, though the current internship is very recent. The candidate's ability to articulate technical details in project descriptions is fair, but could be more concise and impact-oriented.