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AI/ML Engineer with ~3 years of production experience building and deploying scalable machine learning and generative AI solutions using XGBoost, PyTorch, and TensorFlow. Experienced with AWS SageMaker/Lambda, real-time inference via FastAPI, and SHAP-driven feature engineering to improve model performance. Skilled in MLOps automation (Docker, CI/CD, MLflow), and integrating OpenAI and Hugging Face APIs for low-latency, high-uptime AI services. Proven track record optimizing trading and risk analytics pipelines and delivering measurable business impact.…AI/ML Engineer with ~3 years of production experience building and deploying scalable machine learning and generative AI solutions using XGBoost, PyTorch, and TensorFlow. Experienced with AWS SageMaker/Lambda, real-time inference via FastAPI, and SHAP-driven feature engineering to improve model performance. Skilled in MLOps automation (Docker, CI/CD, MLflow), and integrating OpenAI and Hugging Face APIs for low-latency, high-uptime AI services. Proven track record optimizing trading and risk analytics pipelines and delivering measurable business impact.

Aditya Shyamsundar Bhuran

AI Engineer, Data Scientist, Data Engineer, +2

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AI/ML Engineer with ~3 years of production experience building and deploying scalable machine learning and generative AI solutions using XGBoost, PyTorch, and TensorFlow. Experienced with AWS SageMaker/Lambda, real-time inference via FastAPI, and SHAP-driven feature engineering to improve model performance. Skilled in MLOps automation (Docker, CI/CD, MLflow), and integrating OpenAI and Hugging Face APIs for low-latency, high-uptime AI services. Proven track record optimizing trading and risk analytics pipelines and delivering measurable business impact.…AI/ML Engineer with ~3 years of production experience building and deploying scalable machine learning and generative AI solutions using XGBoost, PyTorch, and TensorFlow. Experienced with AWS SageMaker/Lambda, real-time inference via FastAPI, and SHAP-driven feature engineering to improve model performance. Skilled in MLOps automation (Docker, CI/CD, MLflow), and integrating OpenAI and Hugging Face APIs for low-latency, high-uptime AI services. Proven track record optimizing trading and risk analytics pipelines and delivering measurable business impact.

Available to hire

AI/ML Engineer with ~3 years of production experience building and deploying scalable machine learning and generative AI solutions using XGBoost, PyTorch, and TensorFlow. Experienced with AWS SageMaker/Lambda, real-time inference via FastAPI, and SHAP-driven feature engineering to improve model performance.

Skilled in MLOps automation (Docker, CI/CD, MLflow), and integrating OpenAI and Hugging Face APIs for low-latency, high-uptime AI services. Proven track record optimizing trading and risk analytics pipelines and delivering measurable business impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Beginner

Language

Bashkir

Intermediate

Afar

Intermediate

Javanese

Intermediate

Aragonese

Beginner

Work Experience

AI/ML Engineer at PNC, New York

December 1, 2025 - Present

Designed and developed scalable ML pipelines in Python for trading transaction data preprocessing, reducing feature dimensionality by 30% and improving model accuracy by 15%. Engineered and optimized Random Forest and XGBoost classification models, achieving 87% AUC-ROC for automated trade settlement predictions. Built AI-powered client risk assessment services using FastAPI and AWS infrastructure, analyzing portfolio exposure for 80 high-value clients. Developed predictive analytics services using XGBoost, MLflow, feature engineering, and CI/CD pipelines to improve capital allocation accuracy by 20% and reduce pricing errors by 12%. Created distributed inference services using FastAPI, Docker, AWS EC2, integrating OpenAI API and Hugging Face Transformers for low-latency trade document summarization with 99% uptime.

Software Developer Intern at Get SuperStars Inc, New York

July 1, 2025 - September 30, 2025

Built and shipped core mobile features for a video-first platform using Flutter and Dart across a distributed production-scale app. Engineered a real-time Stories feed with live content updates using WebSockets and Provider, improving feed load speed by 22% for 15,000+ active users. Developed a user profile ('Me') tab and notifications module supporting real-time alerts and interactions within the app's core navigation.

AI/ML Engineer at Vivma Software Inc, India

August 1, 2022 - August 31, 2024

Designed a securities recommendation engine using collaborative filtering and SVD with TensorFlow and Python, delivering REST API recommendation services that improved client conversion by 24% and reduced portfolio churn by 11%. Developed real-time algorithmic pricing models using XGBoost and scikit-learn, processing 50K+ fixed-income instruments hourly with sub-100ms inference latency and increasing annual trading revenue by 16%. Implemented end-to-end MLOps pipelines using Docker, AWS SageMaker, Git, Jenkins, and CI/CD automation, reducing retraining time from 8 hours to 45 minutes. Built feature selection and preprocessing workflows with Pandas/NumPy across 2M+ transaction records, using SHAP feature importance to improve F1 score by 19% and optimize scalable processing. Integrated XGBoost and Random Forest models into production FastAPI microservices deployed with Docker on AWS, serving 200K+ daily requests with sub-150ms latency and zero deployment downtime.