Kushal Maktal
Hi, I’m Kushal Maktal, an AI/ML Engineer with 8+ years of experience building scalable machine learning systems, LLM-powered applications, and Generative AI solutions. I specialize in NLP, recommendation systems, and fraud detection using state-of-the-art models like GPT, BERT, and Transformers. I’ve deployed production-ready models across cloud platforms like AWS, GCP, and Azure, and have strong expertise in MLOps, vector search, and real-time data pipelines.
About Me
AI/ML Engineer with 8+ years of hands-on experience in building LLM-based applications, GenAI systems, and NLP-driven solutions. Proven track record in deploying ML models at scale, developing recommendation engines, and implementing real-time fraud detection across industries. Skilled in Python, TensorFlow, Hugging Face, GCP, AWS, and MLOps practices with a focus on personalization, explainable AI, and production-grade AI systems.
Education
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Mechanical Engineering
JNTUH - (2011 - 2015)
Experience
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AI/ML Engineer
RetailMeNot - (2023 - Now)
Developed personalized recommendation systems using LLMs and GenAI, built RAG-based search with FAISS & Pinecone, fine-tuned GPT models, deployed on Vertex AI, applied XAI (SHAP/LIME), engineered real-time pipelines, and implemented RL for personalization.
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ML Engineer
State of MD - (2022 - 2023)
Designed and deployed Medicaid fraud detection systems using XGBoost, Random Forest, Autoencoders; built real-time alerts and dashboards; ensured regulatory compliance; integrated NLP for claims analysis; optimized audit strategies using RL.
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DATA/ML ENGINEER
Stryker Corporation - (2019 - 2021)
Built ML-driven quality control systems, predictive maintenance models, and root cause analysis tools; integrated IoT data pipelines, deployed FastAPI microservices, and applied CV with CNNs for defect detection in manufacturing.
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Data Scientist
SailPoint - (2019 - 2019)
Developed ML pipelines on AWS, implemented predictive maintenance, customer segmentation with K-Means, document classification via NLP, anomaly detection, and built Power BI dashboards for operational insights.
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Data Engineer
Cuspyd - (2015 - 2018)
Designed ETL pipelines, migrated systems to Hadoop, built recommendation systems, applied clustering and anomaly detection, optimized MapReduce jobs, and implemented data lake solutions on AWS S3.
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