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Tashfeen R
@tashfeen348
AI and ML Engineer, LLM Agents and Automation
Pakistan
Inglese, Urdu
Chi sono
I am a skilled AI and Machine Learning professional with 2+ years of experience. I specialize in developing custom solutions in Machine Learning, Deep Learning, Natural Language Processing (NLP), and Computer Vision. Proficient in creating chatbots, predictive models, image/video analytics, and data visualization. I deliver end-to-end, scalable solutions with frameworks like TensorFlow, PyTorch, and scikit-learn. Let’s collaborate to turn your ideas into impactful AI-driven solutions tailored to your needs!
Competenze
Tashfeen R
offline •
Consulta i miei servizi
Integrazioni IA
I will build a custom machine learning model and deploy it with fastapi
Automazioni e agenti
I will build ai agents and rag chatbots to automate your business workflows
Portfolio
Esperienza lavorativa
AI Automation & Agent Developer
Freelance / Self-employed
Dec 2023 - Present • 2 yrs 6 mos
Develop AI agents, RAG knowledge-base chatbots, and code-based workflow automation using Python, LangChain/LangGraph, and API/webhook integrations. Build deployment-ready solutions using Streamlit and FastAPI, with documentation, testing, and setup support. Experience integrating tools like Gmail API (OAuth 2.0), vector databases (ChromaDB/FAISS), and multi-model LLM backends (Gemini/OpenAI/Llama via gateways).
LLM Integration & Product Enhancement Engineer
DASSOFT (NASTP) • Full time
Oct 2025 - Dec 2025 • 2 mos
Built an LLM-powered security monitoring agent using LangChain and prompt optimization, improving incident response quality by ~30%. Designed stress-test prompts (edge cases, multi-step reasoning) and evaluated outputs against expected behavior. Deployed the agent as a FastAPI service with structured output validation to improve reliability and audit-ready reporting.
AI/ML Intern (Agentic AI)
Siberkoza (Startup), NASTP
Jun 2025 - Aug 2025 • 2 mos
Worked on AI-powered SOC automation using agentic AI to assist L1/L2 analyst workflows, reducing triage time by ~40%. Contributed to LLM automation prototypes using LangGraph and supported experiments with RAG-based assistants and retrieval-based question answering. Helped validate workflows and improve system behavior through iterative testing and prompt tuning.
