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Kemeesha Dineth
@b2dffyt
Founder at Zift AI Employees Workflows
Sri Lanka
Englisch
Über mich
Hello! I'm a passionate and experienced AI developer specializing in creating intelligent, custom solutions to help businesses and individuals thrive. With a strong background in machine learning, natural language processing (NLP), and data analysis, I'm dedicated to building innovative tools that solve complex problems and drive real-world results.
My expertise includes:
Machine Learning Model Development: Building and training models for tasks like predictive analytics, classification, and regression.
AI Application Integration: Seamlessly integrating AI capabilities into existing website
Kompetenzen
Kemeesha Dineth
offline •
Durchschnittliche Antwortzeit: 1 Stunde
Meine Dienstleistungen
SEO-Strategie
I will optimize your business to be recommended by ai
KI-Technologie-Beratung
I will set up an ai system to manage your inbox and calendar
Portfolio
Arbeitserfahrung
CYBERSECURITY CONSULTANT
Cybersecurity Crusaders • Selbstständig
Dec 2023 - Present • 2 yrs 5 mos
Founded and operated ZIFT, an AI-powered cybersecurity consulting service targeting dental clinics and small businesses across UK, Dubai and North America. Conducted dark web credential scans and data exposure audits for small business clients. Created professional security reports in plain English for non-technical business owners. Developed AI-assisted client acquisition strategies using personalised direct outreach campaigns.
AI Engineer & Full-Stack Developer
LinkedIn • Selbstständig
Jan 2023 - Present • 3 yrs 4 mos
Designed and deployed a Document Q&A chatbot using LangChain, OpenAI GPT API and ChromaDB with RAG pipeline handling 50+ page PDFs accurately. Built AI powered inbox and calendar automation systems reducing manual email management by up to 95% for business clients. Developed Generative Engine Optimisation strategies helping brands appear in ChatGPT, Perplexity and Google AI Overviews. Built prompt-driven AI workflows integrating LLMs into production applications optimised for accuracy and cost efficiency. Engineered a sentiment analysis system using Scikit-learn achieving 88% accuracy and an image classifier using PyTorch achieving 95% validation accuracy. Created custom AI lead generation workflows combining web scraping, LLM filtering and automated outreach for small business clients. Conducted AI product QA audits identifying hallucination rates, edge case failures and prompt vulnerabilities
OPEN SOURCE CONTRIBUTOR
GitHub • Selbstständig
Dec 2025 - Jan 2026 • 1 mo
Contributed to LangChain and RAG pipeline documentation improving developer onboarding for production deployments. Submitted bug fix PRs and feature improvements across community AI and ML repositories collaborating with global distributed teams. Created beginner-friendly example notebooks demonstrating LLM integration patterns and prompt engineering techniques.
