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I am an AI & Machine Learning Engineer with over 3 years of experience specializing in designing and deploying Generative AI, NLP, and predictive analytics solutions for sectors including finance, healthcare, and industrial domains. My expertise spans state-of-the-art AI models such as GPT-4, LLaMA, and Hugging Face Transformers, and I am proficient in MLOps and big data technologies to ensure scalable and compliant AI solutions. I am passionate about building high-performance AI systems that deliver measurable impact, improving predictive accuracy and automating manual processes, while adhering to regulatory standards. I thrive in leveraging cloud platforms like AWS, Azure, and GCP and applying advanced ML pipelines to drive data-driven decision-making and risk intelligence.…I am an AI & Machine Learning Engineer with over 3 years of experience specializing in designing and deploying Generative AI, NLP, and predictive analytics solutions for sectors including finance, healthcare, and industrial domains. My expertise spans state-of-the-art AI models such as GPT-4, LLaMA, and Hugging Face Transformers, and I am proficient in MLOps and big data technologies to ensure scalable and compliant AI solutions. I am passionate about building high-performance AI systems that deliver measurable impact, improving predictive accuracy and automating manual processes, while adhering to regulatory standards. I thrive in leveraging cloud platforms like AWS, Azure, and GCP and applying advanced ML pipelines to drive data-driven decision-making and risk intelligence.

Bhanuja Ainary

AI Engineer, Data Scientist, Developer, +1

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I am an AI & Machine Learning Engineer with over 3 years of experience specializing in designing and deploying Generative AI, NLP, and predictive analytics solutions for sectors including finance, healthcare, and industrial domains. My expertise spans state-of-the-art AI models such as GPT-4, LLaMA, and Hugging Face Transformers, and I am proficient in MLOps and big data technologies to ensure scalable and compliant AI solutions. I am passionate about building high-performance AI systems that deliver measurable impact, improving predictive accuracy and automating manual processes, while adhering to regulatory standards. I thrive in leveraging cloud platforms like AWS, Azure, and GCP and applying advanced ML pipelines to drive data-driven decision-making and risk intelligence.…I am an AI & Machine Learning Engineer with over 3 years of experience specializing in designing and deploying Generative AI, NLP, and predictive analytics solutions for sectors including finance, healthcare, and industrial domains. My expertise spans state-of-the-art AI models such as GPT-4, LLaMA, and Hugging Face Transformers, and I am proficient in MLOps and big data technologies to ensure scalable and compliant AI solutions. I am passionate about building high-performance AI systems that deliver measurable impact, improving predictive accuracy and automating manual processes, while adhering to regulatory standards. I thrive in leveraging cloud platforms like AWS, Azure, and GCP and applying advanced ML pipelines to drive data-driven decision-making and risk intelligence.

Available to hire

I am an AI & Machine Learning Engineer with over 3 years of experience specializing in designing and deploying Generative AI, NLP, and predictive analytics solutions for sectors including finance, healthcare, and industrial domains. My expertise spans state-of-the-art AI models such as GPT-4, LLaMA, and Hugging Face Transformers, and I am proficient in MLOps and big data technologies to ensure scalable and compliant AI solutions.

I am passionate about building high-performance AI systems that deliver measurable impact, improving predictive accuracy and automating manual processes, while adhering to regulatory standards. I thrive in leveraging cloud platforms like AWS, Azure, and GCP and applying advanced ML pipelines to drive data-driven decision-making and risk intelligence.

Skills

Experience Level

Expert

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Work Experience

AI Engineer at Northern Trust

February 1, 2025 - Present

Led the development and orchestration of advanced ML pipelines using behavioral, transactional, and credit data, improving decision speed by 35% and reducing manual oversight by 40%. Developed a Generative AI Financial Risk Intelligence Platform with GPT-4, LLaMA, Falcon, and related technologies, enhancing credit risk assessment by 34%. Implemented RAG pipelines for financial document insight extraction, improving processing by 40%. Built scalable ML models (XGBoost, LightGBM, CatBoost, Transformers) deployed through Azure ML and containerized environments, improving model accuracy by 29%. Advanced Explainable AI using SHAP, LIME, and others to enhance regulatory compliance and model interpretability by 25%. Automated reporting and anomaly detection workflows, cutting manual analysis time by 45%. Optimized streaming data architectures with Spark, Kafka, and Delta Lake, ensuring 99.7% uptime. Instituted MLOps best practices including CI/CD, drift detection, and automated retraining, ac

Student Researcher at HPCC Lab

January 31, 2025 - September 4, 2025

Invented Audo-Sight, a multimodal LLM-based navigation system for BVI users, increasing perception accuracy by 45% and providing real-time auditory guidance. Developed a CNN-LSTM model for speech-based age bracket classification with 83% accuracy. Applied NeMo Guardrails to enforce dialogue safety, reducing unsafe LLM outputs by 85%. Improved user interaction latency by task routing between TinyLLMs and MLLMs (25% faster). Enabled low-latency edge deployment of quantized LLaVA models integrated with LangChain, reducing mobile inference latency by 38% without cloud dependence.

Machine Learning Engineer at Experion Technologies

July 31, 2023 - September 4, 2025

Built predictive maintenance systems using Python, TensorFlow, and Apache Spark to detect equipment anomalies and reduce downtime by 28%. Designed LSTM and Prophet time-series forecasting models on AWS SageMaker, improving accuracy by 26%. Constructed scalable data ingestion pipelines via AWS IoT Core and Kinesis for 99.5% uptime. Developed AI-powered customer behavior analytics using BERT and PySpark, enhancing segmentation accuracy by 31%. Developed recommendation engines using collaborative filtering and deep learning, boosting cross-sell revenue by 18% and conversion rates by 24%. Integrated ML services through FastAPI, Docker, and Kubernetes lowering API latency by 40%. Delivered real-time insights dashboards with Tableau, Power BI, and Plotly to improve ROI tracking efficiency by 15%.