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I am a results-driven Machine Learning Engineer with over 4 years of experience designing, developing, and deploying advanced machine learning and generative AI solutions, specializing in multilingual applications across healthcare, banking, and e-commerce sectors. I am proficient in end-to-end ML pipelines and skilled in large language models, deep learning, and cloud-based AI platforms, with a proven track record of significantly improving operational efficiency. Currently pursuing a Master’s in Machine Learning and AI, I enjoy leading cross-functional teams, mentoring junior engineers, and delivering scalable, high-impact solutions. My expertise extends to advanced prompt engineering, fine-tuning large language models, and deploying models on cloud infrastructures including AWS, Azure, and Google Cloud. I have a passion for leveraging AI and machine learning techniques to solve complex problems and drive innovation in dynamic industries such as healthcare and financial services.…I am a results-driven Machine Learning Engineer with over 4 years of experience designing, developing, and deploying advanced machine learning and generative AI solutions, specializing in multilingual applications across healthcare, banking, and e-commerce sectors. I am proficient in end-to-end ML pipelines and skilled in large language models, deep learning, and cloud-based AI platforms, with a proven track record of significantly improving operational efficiency. Currently pursuing a Master’s in Machine Learning and AI, I enjoy leading cross-functional teams, mentoring junior engineers, and delivering scalable, high-impact solutions. My expertise extends to advanced prompt engineering, fine-tuning large language models, and deploying models on cloud infrastructures including AWS, Azure, and Google Cloud. I have a passion for leveraging AI and machine learning techniques to solve complex problems and drive innovation in dynamic industries such as healthcare and financial services.

Mohammed Junaid Shaik

AI Engineer, Data Scientist, Developer, +1

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I am a results-driven Machine Learning Engineer with over 4 years of experience designing, developing, and deploying advanced machine learning and generative AI solutions, specializing in multilingual applications across healthcare, banking, and e-commerce sectors. I am proficient in end-to-end ML pipelines and skilled in large language models, deep learning, and cloud-based AI platforms, with a proven track record of significantly improving operational efficiency. Currently pursuing a Master’s in Machine Learning and AI, I enjoy leading cross-functional teams, mentoring junior engineers, and delivering scalable, high-impact solutions. My expertise extends to advanced prompt engineering, fine-tuning large language models, and deploying models on cloud infrastructures including AWS, Azure, and Google Cloud. I have a passion for leveraging AI and machine learning techniques to solve complex problems and drive innovation in dynamic industries such as healthcare and financial services.…I am a results-driven Machine Learning Engineer with over 4 years of experience designing, developing, and deploying advanced machine learning and generative AI solutions, specializing in multilingual applications across healthcare, banking, and e-commerce sectors. I am proficient in end-to-end ML pipelines and skilled in large language models, deep learning, and cloud-based AI platforms, with a proven track record of significantly improving operational efficiency. Currently pursuing a Master’s in Machine Learning and AI, I enjoy leading cross-functional teams, mentoring junior engineers, and delivering scalable, high-impact solutions. My expertise extends to advanced prompt engineering, fine-tuning large language models, and deploying models on cloud infrastructures including AWS, Azure, and Google Cloud. I have a passion for leveraging AI and machine learning techniques to solve complex problems and drive innovation in dynamic industries such as healthcare and financial services.

Available to hire

I am a results-driven Machine Learning Engineer with over 4 years of experience designing, developing, and deploying advanced machine learning and generative AI solutions, specializing in multilingual applications across healthcare, banking, and e-commerce sectors. I am proficient in end-to-end ML pipelines and skilled in large language models, deep learning, and cloud-based AI platforms, with a proven track record of significantly improving operational efficiency. Currently pursuing a Master’s in Machine Learning and AI, I enjoy leading cross-functional teams, mentoring junior engineers, and delivering scalable, high-impact solutions.

My expertise extends to advanced prompt engineering, fine-tuning large language models, and deploying models on cloud infrastructures including AWS, Azure, and Google Cloud. I have a passion for leveraging AI and machine learning techniques to solve complex problems and drive innovation in dynamic industries such as healthcare and financial services.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Advanced

Arabic

Advanced

Hindi

Advanced

Work Experience

Machine Learning Engineer (Contract Basis) at Sarvam AI

October 1, 2024 - Present

Led development of multilingual large language models (LLMs) for Middle Eastern and Indian markets using Python, PyTorch, and Hugging Face Transformers, achieving a 30% improvement in chatbot engagement across Arabic, Hindi, and English via advanced prompt engineering techniques. Fine-tuned LLMs using LoRA and PEFT for sentiment analysis and text generation with 85% accuracy on multilingual social media datasets. Built Retrieval-Augmented Generation (RAG) pipelines using LangChain, Apache Spark, and Kafka for e-commerce content generation, boosting delivery speed by 40%. Deployed models on AWS EC2, S3, and SageMaker with Docker, Kubernetes, and FastAPI, optimizing inference through ONNX for scalability and cost-efficiency.

Machine Learning Engineer at Cognizant

September 30, 2024 - August 15, 2025

Developed a BERT-based chatbot for Indigo Airlines using Python, TensorFlow, and Hugging Face Transformers, enhancing query resolution accuracy by 40% through summarization and sentiment analysis. Engineered ETL pipelines with Apache Spark and SQL, deploying them on AWS EC2 via Flask and Docker, reducing data retrieval time by 25%. Built CNN-based diagnostic models for Concert AI with PyTorch and Scikit-learn achieving 95% accuracy from MRI scans and deployed on Azure ML and AWS with MLflow and Kubernetes for real-time diagnostics. Designed an anomaly detection solution for APGB Bank using Autoencoders and XGBoost, reducing fraud by 35% with 90% precision. Deployed on Google Cloud AI with Kubeflow and CI/CD pipelines, supporting large data processing with Hadoop and real-time monitoring.

Data Science Intern at Simplilearn Solutions Ltd

May 31, 2022 - August 15, 2025

Developed predictive models using Python, Scikit-learn, and LightGBM that enhanced business intelligence model accuracy by 15%. Built ETL pipelines with SQL and Python, managed version control with Git, and collaborated across teams to optimize data-driven insights and workflow efficiencies.