Kamran Suleman
AI Engineer
Initializing
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Turning research into production-ready intelligent systems
Aspiring AI/ML Engineer with strong expertise in Python, Machine Learning, Computer Vision, and Data Science. Passionate about building intelligent systems including chatbots, RAG-based agents, recommendation systems, and face recognition applications. Experienced in designing and deploying AI solutions for real-world tasks, seeking opportunities to apply skills in impactful AI/ML projects.
AI-powered email management and customer support automation that classifies emails into Support, Sales, Complaints, Billing, and General Inquiries using NLP. Generates summaries, drafts context-aware responses, and supports JSON export for CRM integration.
Real-time facial recognition attendance system using deep learning and CNN-based facial embeddings. Records timestamps automatically and generates detailed attendance reports with CSV export.
E-commerce recommendation system using collaborative filtering and content-based techniques. Integrates multi-agent AI for dynamic query processing and continuous preference learning.
RAG system built with LangChain that retrieves information from uploaded documents and combines it with LLMs for accurate, evidence-based responses with reduced hallucinations.
Security-focused AI system for banking workflows with strict input validation and multi-layered guardrails. Implements rule-based filtering and intent validation for compliance.
Research aggregation system collecting and synthesizing information from web content, Wikipedia, and academic papers using LangChain tool integration into structured outputs.
RAG chatbot enabling intelligent natural language querying of business documents. Grounds all responses in verified document content for high relevance and reduced hallucinations.
Sentiment analysis using TF-IDF vectorization and supervised ML to classify text as positive, negative, or neutral. Enables opinion mining from reviews and social media for brand insights.
Deep learning framework for building, training, and evaluating neural network models using TensorFlow and Keras. Supports end-to-end ML pipelines including preprocessing and evaluation.
Python utility converting Jupyter Notebooks into professionally formatted PDF documents using Pandas for data cleaning and FPDF for layout generation. Ideal for client-ready reports.
AI-powered proposal generation for freelance platforms. Analyzes job postings and generates tailored proposals using NLP, improving submission speed and win rates.
Core Expertise