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etisamulhaq

Etisam Ul Haq

@etisamulhaq

Data Scientist, AI Engineer, Agentic AI Engineer

Pakistan
Engels, Urdu, Hindi, Punjabi
Sommige informatie wordt in het Engels weergegeven.
Over mij
Certified Data Scientist with 3+ Years of ExperiencešŸŽ–ļø| BS In Data SciencešŸ‘Øā€šŸŽ“| IBM Certified Data Scientistāœ… I'm Etisam, a data science professional specializing in the intersection of data science, data analysis, database, machine learning, agentic AI, and web development. Skilled in developing retrieval-augmented generation (RAG) applications, working with large language models (LLMs), and leveraging vector databases for advanced information retrieval. My focus is on extracting meaningful insights from complex datasets, developing predictive models,and creating scalable web applications.... Lees meer

Skills

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etisamulhaq
Etisam Ul Haq
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Grafieken en tabellen
I will create professional dashboards and reports in power bi
Marketinganalyse
I will do data analysis in excel, python, pandas, numpy, matplotlib, seaborn

Portfolio

Werkervaring

AI Engineer

LM

May 2025 - Present • 1 yr

• Designed and developed a custom Python package enabling developers to efficiently build AI chatbots. Built a multi-user AI chatbot platform with a Django backend, React frontend, and Supabase database. Deployed chatbots on Google Cloud Run (GCP) and implemented CI/CD pipelines for automatic deployment of bots. • Worked on fine-tuning and evaluating large language models (LLMs) using LoRA and vLLM on NVIDIA H100 and A100 GPUs for efficient training and inference. Used Custom Evaluation, MixEval, and Needle-in-a-Haystack tests to improve model accuracy, robustness, and understanding. • Worked with n8n to build an AI chatbot that retrieves data from API endpoints in JSON format and passes it to an LLM agent to generate accurate and context-aware responses to user queries. • Trained a custom YOLO model on electric circuit images, achieving 95%+ accuracy. Built an inference pipeline to detect circuit components in complex real-world images. • Built an AI tool to evaluate and improve Upwork proposals using LLMs and past proposal data (win/loss). Predicted the success rate of new proposals based on past examples. Also integrated with a Django backend and used Celery to run tasks asynchronously and in parallel, improving speed and efficiency by 60%.

AI Engineer Intern

Techtics

Feb 2025 - May 2025 • 3 mos

• Built an AI/ML solution for UAE tax and legal regulations using Neo4j, knowledge graphs, and Graph RAG • Enhanced legal analysis with LLM-powered, graph-based retrieval

Freelance

Python, AI, Data Science Instructor

Freelance

Jul 2024 - May 2025 • 10 mos

• Instructed and mentored over 30+ students with personalized support. • Taught comprehensive online lessons in Data Science, Python, database management, and data analysis to international students. • Earned consistent 5-star ratings for clarity, effectiveness, and engagement.