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I am a Senior AI/ML Engineer with over 8 years of experience in architecting, deploying, and operationalizing large-scale AI/ML and Generative AI systems. I specialize in integrating advanced machine learning techniques, deep learning, NLP, computer vision, and time-series forecasting to build intelligent and production-ready decision-making platforms. My work spans retail, transportation, and financial domains where I have delivered measurable ROIs through innovative AI solutions. Throughout my career, I have led various projects from demand forecasting and inventory optimization to real-time traffic safety AI systems and large-scale personalization engines. I am passionate about bridging research and production, driving enterprise adoption of Generative AI, and evolving organizations from predictive to prescriptive and generative decision-making capabilities.…I am a Senior AI/ML Engineer with over 8 years of experience in architecting, deploying, and operationalizing large-scale AI/ML and Generative AI systems. I specialize in integrating advanced machine learning techniques, deep learning, NLP, computer vision, and time-series forecasting to build intelligent and production-ready decision-making platforms. My work spans retail, transportation, and financial domains where I have delivered measurable ROIs through innovative AI solutions. Throughout my career, I have led various projects from demand forecasting and inventory optimization to real-time traffic safety AI systems and large-scale personalization engines. I am passionate about bridging research and production, driving enterprise adoption of Generative AI, and evolving organizations from predictive to prescriptive and generative decision-making capabilities.

Pushkara Chakka

AI Engineer, Data Scientist, AI Developer, +1

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I am a Senior AI/ML Engineer with over 8 years of experience in architecting, deploying, and operationalizing large-scale AI/ML and Generative AI systems. I specialize in integrating advanced machine learning techniques, deep learning, NLP, computer vision, and time-series forecasting to build intelligent and production-ready decision-making platforms. My work spans retail, transportation, and financial domains where I have delivered measurable ROIs through innovative AI solutions. Throughout my career, I have led various projects from demand forecasting and inventory optimization to real-time traffic safety AI systems and large-scale personalization engines. I am passionate about bridging research and production, driving enterprise adoption of Generative AI, and evolving organizations from predictive to prescriptive and generative decision-making capabilities.…I am a Senior AI/ML Engineer with over 8 years of experience in architecting, deploying, and operationalizing large-scale AI/ML and Generative AI systems. I specialize in integrating advanced machine learning techniques, deep learning, NLP, computer vision, and time-series forecasting to build intelligent and production-ready decision-making platforms. My work spans retail, transportation, and financial domains where I have delivered measurable ROIs through innovative AI solutions. Throughout my career, I have led various projects from demand forecasting and inventory optimization to real-time traffic safety AI systems and large-scale personalization engines. I am passionate about bridging research and production, driving enterprise adoption of Generative AI, and evolving organizations from predictive to prescriptive and generative decision-making capabilities.

Available to hire

I am a Senior AI/ML Engineer with over 8 years of experience in architecting, deploying, and operationalizing large-scale AI/ML and Generative AI systems. I specialize in integrating advanced machine learning techniques, deep learning, NLP, computer vision, and time-series forecasting to build intelligent and production-ready decision-making platforms. My work spans retail, transportation, and financial domains where I have delivered measurable ROIs through innovative AI solutions.

Throughout my career, I have led various projects from demand forecasting and inventory optimization to real-time traffic safety AI systems and large-scale personalization engines. I am passionate about bridging research and production, driving enterprise adoption of Generative AI, and evolving organizations from predictive to prescriptive and generative decision-making capabilities.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Senior AI/ML & Generative AI Engineer at Albertsons

November 1, 2024 - Present

Led the development of an enterprise-scale Generative AI-enabled Supply Chain Optimization Platform to modernize retail operations for over 2,200 stores. Designed advanced demand forecasting models leveraging Temporal Fusion Transformers, LSTMs, and Prophet, reducing forecasting errors by 25%. Built inventory optimization using Hugging Face Transformers and generative simulations, reducing surplus inventory by 17%. Developed logistics intelligence models combining geo-spatial ML with LLM-powered extraction improving delivery reliability and cutting last-mile costs by 14%. Enhanced pricing models with LightGBM, TensorFlow, and RAG pipelines, increasing promotional ROI by 20%. Engineered real-time data pipelines for structured and unstructured data ingestion and deployed ML and Generative AI services using modern MLOps practices including MLflow, Docker, and Azure Kubernetes Service. Delivered GenAI-powered BI dashboards and embedded assistants to accelerate executive decision-making and

AI/ML Engineer at Virginia Department of Transportation

October 31, 2024 - September 4, 2025

Led end-to-end design, deployment, and optimization of AI/ML and Generative AI systems for statewide traffic safety operations. Improved incident detection accuracy by 25% using YOLOv8, Faster R-CNN, and DeepSORT on live CCTV streams. Built anomaly detection with LSTM Autoencoder and Isolation Forest on IoT sensor data providing real-time alerts under 10 seconds. Deployed streaming ML pipelines on Azure Gov Cloud processing over 1 million events/day with 99.9% uptime. Created edge AI inference pipelines on NVIDIA Jetson to reduce latency by 40%. Developed RAG-based generative assistants to retrieve and summarize incident protocols, aiding operators and reducing workload by 30%. Implemented predictive maintenance copilots using CNN crack detection on drone and LiDAR images integrated with generative retrieval. Ensured compliance with FedRAMP High and NIST 800-53 security standards. Established CI/CD pipelines for model drift detection and automated retraining.

Machine Learning Engineer at Citibank

January 31, 2023 - September 4, 2025

Developed and deployed large-scale customer personalization and engagement ML models to segment users and recommend financial products. Implemented clustering models (K-Means, DBSCAN, Gaussian Mixtures) on multi-channel data increasing campaign response rates by 18%. Built hybrid recommendation engines using deep learning embeddings improving cross-sell conversions by 12%. Powered NLP-driven virtual assistants with BERT, spaCy, and custom intent classifiers, reducing live agent workloads by 22% and response times significantly. Automated deployment and retraining pipelines with AWS SageMaker, Docker, Jenkins, and MLflow ensuring scalable CI/CD. Worked closely with marketing and product teams to integrate ML insights into customer engagement strategies, boosting customer satisfaction by 15%.

Data Analyst at Razorpay

October 31, 2021 - September 4, 2025

Delivered end-to-end data engineering and analytics solutions for high-volume payment systems focused on real-time transaction processing, fraud detection, and compliance. Engineered real-time streaming pipelines using Apache Kafka and Spark Streaming handling over 10 million payment events daily. Designed and refined interactive dashboards with Tableau and Looker enabling instant, high-performance query access for stakeholders. Integrated third-party fraud detection and custom anomaly scripts, reducing detection-to-action time by 80%. Automated merchant settlement and financial reporting workflows, saving significant manpower hours while increasing accuracy. Collaborated across teams to optimize API performance, improve transaction success rates, and enhance customer experience with rigorous root cause analyses and monitoring.

Junior Python Developer at LatentView Analytics

November 30, 2018 - September 4, 2025

Supported development and automation of large-scale data pipelines and cloud-based analytics workflows. Automated ETL processes from diverse sources improving data ingestion efficiency by 25%. Conducted data cleansing, preprocessing, and feature engineering to support predictive modeling with approximately 10% accuracy improvement. Automated scheduling and pipeline workflows (cron jobs, scripting) achieving 99.9% uptime and reducing manual interventions. Prepared datasets and validated models for churn prediction and user engagement. Integrated AWS cloud services such as S3, Redshift, and Lambda to enhance scalability and flexibility. Worked effectively within an Agile environment using Git version control and code reviews.