About
Machine Learning Engineer focused on Generative AI and scalable ML systems. Built RAG-based applications using LangChain, FastAPI, and vector databases. Designed and deployed an end-to-end ML pipeline for predictive modeling. Experienced in NLP, semantic search, and LLM-based solutions. Created REST APIs and data applications for real-time insights. Strong in data structures, algorithms, and system design. Delivering efficient, scalable, and production-ready solutions.
Skills & Expertise (28)
Work Experience
Project Developer
Housing Data Analysis – Power BI
Mar 2023 - Oct 2023
Built a cloud-based analytics solution using Google BigQuery and Power BI to process and analyze 10,000+ housing records. Cleaned and transformed raw datasets, improving data accuracy and consistency for reporting. Developed interactive dashboards tracking YoY sales, pricing trends, and performance metrics, improving stakeholder visibility. Optimized SQL queries and data models, reducing dashboard load time by ~35%. Derived actionable insights using price-per-sqm metrics to evaluate market trends and sales efficiency.
Project Developer
AI Travel Assistant Mapping
Jun 2025 - Nov 2025
Designed and enhanced an AI-powered travel assistant using Python, FastAPI, and LangChain, enabling real-time itinerary generation across 500+ user queries. Built a Retrieval-Augmented Generation (RAG) pipeline using Hugging Face Transformers, improving response relevance by ~30% through context-aware retrieval. Implemented semantic search using Sentence Transformers and Qdrant, reducing information retrieval time by ~40%. Engineered and deployed scalable REST APIs, handling concurrent requests with improved system responsiveness. Optimized backend processing pipeline, reducing overall response latency by ~25%.
Project Developer
Employee Absenteeism Prediction
Jan 2024 - Sep 2024
Deployed an end-to-end ML pipeline using Logistic Regression to predict employee absenteeism with ~82% accuracy. Performed data preprocessing and feature engineering on 1,000+ records, improving model performance and stability. Applied feature selection and backward elimination, reducing model complexity while maintaining predictive performance. Built Tableau dashboards to visualize key factors (age, expenses, reasons), enabling data-driven decision-making. Validated model performance using train-test split and cross-validation techniques to ensure robustness.
Education
Bachelor of Technology, Computer Science Engineering - VIT Bhopal University
2021 - 2025 · Afghanistan
12th - St. Joseph’s Convent Senior Secondary School
- 2021 · Afghanistan
10th - St. Joseph’s Convent Senior Secondary School
- 2018 · Afghanistan
Certifications
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Skills (28)
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