I'm Hafeez Shaik, a Data Science and Machine Learning professional with 5+ years of experience delivering end-to-end AI/ML solutions across finance, marketing analytics, and large-scale distributed systems. I specialize in Python, SQL, PySpark, and C++, with deep experience in ML, DL, Generative AI, and LLMs including fine-tuning (LoRA/QLoRA), RAG/Graph RAG, prompt engineering, and agentic AI systems. In my roles, I translate complex business problems into scalable AI solutions and communicate insights through dashboards and data storytelling. I bring strong data engineering and MLOps capabilities, deploying cloud-native solutions on AWS/Azure/GCP, building scalable ETL/ELT pipelines, streaming architectures, and feature stores. I collaborate closely with stakeholders to define requirements, ensure governance and observability, and drive production-grade AI systems from prototype to deployment.

Hafeez S

I'm Hafeez Shaik, a Data Science and Machine Learning professional with 5+ years of experience delivering end-to-end AI/ML solutions across finance, marketing analytics, and large-scale distributed systems. I specialize in Python, SQL, PySpark, and C++, with deep experience in ML, DL, Generative AI, and LLMs including fine-tuning (LoRA/QLoRA), RAG/Graph RAG, prompt engineering, and agentic AI systems. In my roles, I translate complex business problems into scalable AI solutions and communicate insights through dashboards and data storytelling. I bring strong data engineering and MLOps capabilities, deploying cloud-native solutions on AWS/Azure/GCP, building scalable ETL/ELT pipelines, streaming architectures, and feature stores. I collaborate closely with stakeholders to define requirements, ensure governance and observability, and drive production-grade AI systems from prototype to deployment.

Available to hire

I’m Hafeez Shaik, a Data Science and Machine Learning professional with 5+ years of experience delivering end-to-end AI/ML solutions across finance, marketing analytics, and large-scale distributed systems. I specialize in Python, SQL, PySpark, and C++, with deep experience in ML, DL, Generative AI, and LLMs including fine-tuning (LoRA/QLoRA), RAG/Graph RAG, prompt engineering, and agentic AI systems. In my roles, I translate complex business problems into scalable AI solutions and communicate insights through dashboards and data storytelling.

I bring strong data engineering and MLOps capabilities, deploying cloud-native solutions on AWS/Azure/GCP, building scalable ETL/ELT pipelines, streaming architectures, and feature stores. I collaborate closely with stakeholders to define requirements, ensure governance and observability, and drive production-grade AI systems from prototype to deployment.

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Experience Level

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Expert
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Expert
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Work Experience

Data Scientist / ML Engineer at Mindtree
March 1, 2025 - Present
Designed and implemented end-to-end ML and data science pipelines, including data ingestion, preprocessing, feature engineering, model training, evaluation, deployment, monitoring, and retraining. Built scalable distributed batch and real-time streaming data pipelines using Apache Spark, PySpark, Kafka, Hadoop, Flink, Apache Storm, Dask, and Spark Streaming to process multi-terabyte structured, semi-structured, and unstructured datasets. Developed predictive analytics, anomaly detection, fraud detection, forecasting, classification, clustering, regression, and Generative AI solutions using TensorFlow, PyTorch, Scikit-learn, XGBoost, LightGBM, CatBoost, CNN, RNN, LSTM, Transformers, and related architectures. Implemented Large Language Model (LLM) and Generative AI applications using Hugging Face Transformers, GPT models, Fine-Tuning (LoRA/QLoRA), Retrieval-Augmented Generation (RAG), Graph RAG, and agentic AI frameworks including LangChain and LangGraph, along with Vector Databases suc
Python Web Developer at Value Labs – PwC
July 1, 2023 - March 1, 2025
Developed scalable data-driven web applications, enterprise platforms, and microservices using Python, Django, Flask, FastAPI, React/Angular, and related technologies. Built end-to-end frontend and backend modules, designed and implemented ETL/ELT pipelines, and integrated ML/NLP models for analytics. Implemented CI/CD pipelines, containerization, and cloud deployments; created dashboards and reporting solutions using Tableau/Power BI to enable data-driven decision making.
Python Developer at IBN Technologies – Axis Bank
May 1, 2021 - July 1, 2023
Developed full-stack enterprise applications, REST APIs, and real-time data processing pipelines. Built streaming solutions with Kafka, Spark/Hive, and NoSQL/SQL databases; deployed cloud-native solutions on AWS; implemented DevOps/MLOps practices with Docker, CI/CD, Terraform, and monitoring. Contributed to data warehousing and analytics initiatives across banking domains.

Education

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Industry Experience

Financial Services, Software & Internet, Professional Services