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Shaik Mahamood

@shaikmahamood

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Senior AI/ML Engineer at Sumicro Technologies who cut document-review time by 60% with a 94%-accuracy NLP pipeline.

India

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What I'm looking for

I'm looking for a full-time AI/ML Engineer, Senior ML Engineer, or MLOps role. I'm open to Bangalore, Hyderabad, or remote opportunities and can join immediately.

At Sumicro Technologies, I led the design and delivery of an automated document-classification pipeline that reached 94% accuracy and cut manual review time by 60%. I also fine-tuned BERT models for named entity recognition, improving F1-score from 0.72 to 0.89.

I architected a real-time fraud detection system processing 50,000+ transactions per day at under 20ms inference latency, and standardized MLflow practices to reduce reproducibility issues by 80%. I’ve also built a LangChain and GPT-4 document Q&A assistant, computer vision and medical imaging models, and data pipelines for production ML systems.

Experience

Work history, roles, and key accomplishments

Current

Senior AI/ML Engineer

Current

Sumicro Technologies

Jan 2024 - Present (2 years 9 months)

Led design and delivery of an end-to-end NLP pipeline for automated document classification, achieving 94% accuracy and cutting manual review time by 60%. Architected a real-time fraud detection system processing 50,000+ transactions per day at under 20ms latency.

BERT Hugging Face Transformers NER Gradient Boosting AWS Sagemaker MLFlow Docker Kubernetes GitHub Actions Lang Chain GPT 4 RAG Pinecone fastAPI AWS Lambda

Machine Learning Engineer

Sumicro Technologies

Jan 2022 - Dec 2023 (1 year 11 months)

Built and deployed a computer vision pipeline using YOLO for automated defect detection in manufacturing images, achieving 97% precision. Developed a customer churn prediction model with SHAP-based explainability, reducing churn by 18% within 6 months.

YOLO OpenCV SHAP Airflow PySpark Power BI Plotly U Net PyTorch GCP

Junior Data Scientist / ML Engineer

Sumicro Technologies

Sep 2020 - Dec 2021 (1 year 3 months)

Designed and trained deep learning models (CNN, LSTM) for time-series forecasting and anomaly detection. Engineered a hybrid recommendation system serving 100,000+ active users using Kafka and Redis.

CNN LSTM fastAPI Kafka Redis Feature Engineering REST APIs EDA

Education

Degrees, certifications, and relevant coursework

Institute of Management & Engineering

Bachelor of Computer Applications, Computer Applications

Pursued a Bachelor of Computer Applications degree, gaining foundational knowledge in computer applications and programming.

Amazon Web Services (AWS)

AWS Certified Machine Learning - Specialty, Machine Learning

Earned the AWS Certified Machine Learning - Specialty certification, validating expertise in building, training, and deploying machine learning models on AWS.

Coursera

Deep Learning Specialization, Deep Learning

Completed the Deep Learning Specialization on Coursera, covering deep learning fundamentals, neural networks, and practical applications.

Google

Google Professional Machine Learning Engineer, Machine Learning

Earned the Google Professional Machine Learning Engineer certification, demonstrating proficiency in designing and implementing machine learning solutions on Google Cloud.