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Hi, I'm Md Fardeen, an AI/ML Engineer focused on turning data into scalable AI solutions. I design end-to-end data pipelines, develop ML models, and deploy LLM-powered systems in production, with strong Python expertise and a solid track record of ETL optimization and model evaluation. An IEEE published researcher and former OBC Team Lead for a satellite mission, I’m adept at communicating complex technical concepts to diverse audiences, collaborating across product teams, and documenting decisions to ensure transparency and reproducibility. I enjoy building robust AI solutions that deliver real business impact.…Hi, I'm Md Fardeen, an AI/ML Engineer focused on turning data into scalable AI solutions. I design end-to-end data pipelines, develop ML models, and deploy LLM-powered systems in production, with strong Python expertise and a solid track record of ETL optimization and model evaluation. An IEEE published researcher and former OBC Team Lead for a satellite mission, I’m adept at communicating complex technical concepts to diverse audiences, collaborating across product teams, and documenting decisions to ensure transparency and reproducibility. I enjoy building robust AI solutions that deliver real business impact.

Md Fardeen

AI Engineer, Data Scientist, Full Stack Developer, +2

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Hi, I'm Md Fardeen, an AI/ML Engineer focused on turning data into scalable AI solutions. I design end-to-end data pipelines, develop ML models, and deploy LLM-powered systems in production, with strong Python expertise and a solid track record of ETL optimization and model evaluation. An IEEE published researcher and former OBC Team Lead for a satellite mission, I’m adept at communicating complex technical concepts to diverse audiences, collaborating across product teams, and documenting decisions to ensure transparency and reproducibility. I enjoy building robust AI solutions that deliver real business impact.…Hi, I'm Md Fardeen, an AI/ML Engineer focused on turning data into scalable AI solutions. I design end-to-end data pipelines, develop ML models, and deploy LLM-powered systems in production, with strong Python expertise and a solid track record of ETL optimization and model evaluation. An IEEE published researcher and former OBC Team Lead for a satellite mission, I’m adept at communicating complex technical concepts to diverse audiences, collaborating across product teams, and documenting decisions to ensure transparency and reproducibility. I enjoy building robust AI solutions that deliver real business impact.

Available to hire

Hi, I’m Md Fardeen, an AI/ML Engineer focused on turning data into scalable AI solutions. I design end-to-end data pipelines, develop ML models, and deploy LLM-powered systems in production, with strong Python expertise and a solid track record of ETL optimization and model evaluation.

An IEEE published researcher and former OBC Team Lead for a satellite mission, I’m adept at communicating complex technical concepts to diverse audiences, collaborating across product teams, and documenting decisions to ensure transparency and reproducibility. I enjoy building robust AI solutions that deliver real business impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

Telugu

Fluent

English

Advanced

Hindi

Fluent

Urdu

Fluent

Work Experience

AI/ML Engineer | Generative AI Developer at Tata Consultancy Services (TCS)

January 1, 2025 - Present

AI/ML Engineer and Generative AI Developer responsible for designing, developing, and deploying an LLM-powered enterprise patent document processing system. Led end-to-end ETL pipelines using Azure Data Factory and Azure Blob Storage for data ingestion, transformation, and consumption by ML models. Created Python data engineering scripts for data cleaning, structuring, and augmentation to feed supervised fine-tuning. Optimized the model pipeline to reduce processing time from 15 minutes to under 2 minutes (87% improvement). Implemented prompt engineering and chain-of-thought techniques to improve outputs, and documented model decisions and ETL methodologies for reproducibility. Leveraged Azure AI Search and Azure Document Intelligence for scalable data retrieval and PDF feature extraction.