Sheikh Obada

AI/ML Engineer with hands-on experience developing and implementing machine learning models and LLM-based applications, optimizing them for real-world deployment. Proficient in Python, LangChain, and multimodal LLM APIs (OpenAI, Google Gemini) for building Retrieval-Augmented Generation (RAG) pipelines, multi-agent systems, and embedding-based semantic search. Experienced in prompt engineering, LLM fine-tuning (LoRA/QLoRA), and deploying AI/ML pipelines via REST APIs on cloud infrastructure.

Comfortable working across the full AI application lifecycle — from model integration and reasoning-chain design to production-ready deployment.

Trainee Data Scientist - Techma Zone

(2023-03 - 2023-12)

• Built and evaluated supervised machine learning models for classification and regression using Scikit-learn and Python.
• Developed an NLP-based SMS Spam Classifier using Logistic Regression and text preprocessing pipelines.
• Built a Movie Recommendation System using collaborative filtering to generate personalized predictions from user behavior data.

Trainee Data Analyst - Techma Zone

(2022-11 - 2023-02)

• Performed exploratory data analysis (EDA) on complex datasets using Python to identify trends and support data-driven decisions.
• Built interactive dashboards and visualizations to communicate findings to cross-functional stakeholders.
• Cleaned, preprocessed, and structured raw data pipelines — a foundation directly supporting ML and LLM pipeline development.

Bachelor of Science - Computer Science - Federal Urdu University of Arts, Sciences & Technology (2021 - 2025)