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I'm Vinay Reddy, an AI/ML Engineer with 3+ years of experience across machine learning, natural language processing, data engineering, and cloud technologies. I design, deploy, and monitor scalable ML models and data pipelines using Python, PySpark, Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure). I enjoy turning complex data problems into robust, high-performing solutions that deliver real value for clients and teams. I thrive in cross-functional environments, collaborating with stakeholders to ensure compliance, explainability, and ethical AI practices while building automated, real-time analytics and decision-support systems.…I'm Vinay Reddy, an AI/ML Engineer with 3+ years of experience across machine learning, natural language processing, data engineering, and cloud technologies. I design, deploy, and monitor scalable ML models and data pipelines using Python, PySpark, Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure). I enjoy turning complex data problems into robust, high-performing solutions that deliver real value for clients and teams. I thrive in cross-functional environments, collaborating with stakeholders to ensure compliance, explainability, and ethical AI practices while building automated, real-time analytics and decision-support systems.

Vinay Reddy

Data Scientist, AI Engineer, AI Developer, +2

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I'm Vinay Reddy, an AI/ML Engineer with 3+ years of experience across machine learning, natural language processing, data engineering, and cloud technologies. I design, deploy, and monitor scalable ML models and data pipelines using Python, PySpark, Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure). I enjoy turning complex data problems into robust, high-performing solutions that deliver real value for clients and teams. I thrive in cross-functional environments, collaborating with stakeholders to ensure compliance, explainability, and ethical AI practices while building automated, real-time analytics and decision-support systems.…I'm Vinay Reddy, an AI/ML Engineer with 3+ years of experience across machine learning, natural language processing, data engineering, and cloud technologies. I design, deploy, and monitor scalable ML models and data pipelines using Python, PySpark, Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure). I enjoy turning complex data problems into robust, high-performing solutions that deliver real value for clients and teams. I thrive in cross-functional environments, collaborating with stakeholders to ensure compliance, explainability, and ethical AI practices while building automated, real-time analytics and decision-support systems.

Available to hire

I’m Vinay Reddy, an AI/ML Engineer with 3+ years of experience across machine learning, natural language processing, data engineering, and cloud technologies. I design, deploy, and monitor scalable ML models and data pipelines using Python, PySpark, Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure). I enjoy turning complex data problems into robust, high-performing solutions that deliver real value for clients and teams.

I thrive in cross-functional environments, collaborating with stakeholders to ensure compliance, explainability, and ethical AI practices while building automated, real-time analytics and decision-support systems.

Skills

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Intermediate

Work Experience

AI/ML Engineer at KPMG LLP

June 1, 2024 - Present

Developed an AI-powered audit and risk intelligence platform to automate financial statement analysis, regulatory review, and client risk profiling, improving report generation speed by 30% while ensuring compliance with US GAAP, SOC 2, and internal audit standards. Built high-throughput data pipelines processing 10M+ client financial statements, contracts, and regulatory filings with versioned schemas for improved traceability and storage efficiency. Engineered multi-dimensional features combining transaction patterns, textual embeddings, and probabilistic risk signals to reduce classification noise and false positives by 22%. Fine-tuned transformer models (DeBERTa-v3, Longformer) with QLoRA and adapters to increase accuracy and inference speed by 17%. Optimized hyperparameters across 150+ distributed experiments with Optuna, Ray Tune, and Hydra, achieving macro F1 improvements from 0.73 to 0.88 while preserving reproducibility and governance. Implemented Retrieval-Augmented Generatio

AI/ML Engineer at Novisync, Inc.

January 1, 2022 - August 1, 2023

Architected a cloud-cost optimization analytics platform by integrating multi-cloud data sources into a unified Snowflake data lake, enabling real-time spend analysis, anomaly detection, and cost forecasting with automated reporting. Built scalable data ingestion pipelines using Apache NiFi and Kafka, streaming logs and performance metrics from on-prem and cloud systems into Snowflake. Developed feature extraction workflows with PySpark and embedded Grafana metrics to capture usage patterns and anomalies for capacity planning and resource allocation. Created machine learning models with XGBoost, Elastic Net, and Transformer architectures to forecast infrastructure usage and detect cost anomalies, reducing cloud overspend by 24% across client environments. Deployed predictive services with Docker, Kubernetes, and KServe, integrating AWS Lambda and Azure Functions for serverless triggers and real-time alerts via Prometheus and Grafana. Automated continuous retraining with Airflow and MLf