Data Engineer / AI & ML Engineer | 2+ Years Experience | Generative AI, RAG, PySpark & SQL

I am a Data Engineer and AI Engineer with 2+ years of experience building scalable data pipelines, intelligent AI applications, and machine learning solutions. With a Bachelor's degree in Data Science from the National University of Computer and Emerging Sciences (FAST-NUCES), I enjoy solving practical problems by combining data engineering, analytics, and artificial intelligence.

My experience in Data Engineering includes designing and optimizing ETL/ELT pipelines, building data ingestion workflows, developing data warehouses, and working with cloud-based data platforms. I have hands-on experience with Python, SQL, PySpark, Apache Spark, Snowflake, Microsoft Fabric, Databricks, and AWS S3. I have also worked on incremental data loading, data validation, schema drift handling, pipeline orchestration, and performance optimization, achieving improvements in ingestion speed and processing efficiency.

On the AI side, I have developed Generative AI applications, retrieval-augmented generation (RAG) systems, multi-agent workflows, and predictive models. My experience includes working with large language models (LLMs), LangChain, LangGraph, OpenAI models, Pinecone, FAISS, Qdrant, embeddings, semantic search, hybrid retrieval, and reranking techniques. I have also built multilingual retrieval pipelines, asynchronous SQL agents, and FastAPI-based services, with a focus on improving response times, retrieval quality, and the reliability of AI-generated outputs.

My project experience spans real-time data streaming with Apache Kafka and Spark Structured Streaming, time-series forecasting using Linear Regression, ARIMA, LSTM, and hybrid models, and AI-powered solutions such as medical transcription and structured report generation. I am also familiar with Docker, Kubernetes, Git, CI/CD fundamentals, and API integration for developing and deploying practical applications.

I am particularly interested in opportunities where I can build reliable data infrastructure, develop useful AI-powered products, and turn complex data into actionable insights. I value clean code, continuous learning, problem-solving, and solutions that deliver measurable business value.

I am open to opportunities in Data Engineering, AI Engineering, Machine Learning, Generative AI, and related fields where I can contribute my technical skills, learn from experienced teams, and help build scalable, impactful solutions.