Available to hire
I am Bhavishya Mittal, a senior AI/ML engineer with 12+ years designing, building, and deploying large-scale ML systems for global technology leaders. I specialize in end-to-end ML pipelines, LLM-powered applications, and responsible AI practices, translating research prototypes into production-grade solutions while delivering measurable business impact.
I enjoy leading cross-functional teams, mentoring engineers, and building cloud-native AI solutions on AWS, GCP, and Azure. My passion is turning cutting-edge research into reliable, scalable products that users can trust, with a focus on fairness, privacy, and system reliability.
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Language
English
Fluent
Work Experience
Senior AI/ML Engineer at Orby AI
November 1, 2024 - PresentArchitected and scaled production-grade ML pipelines with real-time ingestion, ETL, feature engineering, training, validation, deployment, and monitoring—reducing deployment cycle time by 35% and achieving 99.9% uptime in mission-critical environments. Designed and delivered LLM-powered products with retrieval-augmented generation (RAG), embeddings, and vector databases (Pinecone, FAISS, Weaviate), improving response accuracy by 20% and reducing hallucinations by 15%. Developed and deployed generative AI and deep learning solutions across AWS, GCP, and Kubernetes for low-latency, cost-optimized inference while upholding fairness, privacy, and compliance. Built distributed backend systems and AI-powered search using Python, Java, Spark, Kafka, Airflow, Elasticsearch, and Redis, cutting query latency by 40% and scaling to 100M+ requests/month. Implemented MLOps pipelines with CI/CD, Docker, Terraform, MLflow, and monitoring (Prometheus, Grafana, Datadog), boosting experimentation veloc
Senior Software Engineer at Google
October 1, 2024 - October 13, 2025Directed architecture and deployment of global-scale ML systems powering products used by billions, ensuring 99.99% reliability, low-latency inference, and multi-region operability. Pioneered LLM-powered solutions with RAG pipelines, vector embeddings services (FAISS, Pinecone, Weaviate), and prompt optimization frameworks, driving ~25% improvements in personalization, search relevance, and conversational AI quality. Optimized production ML pipelines (TensorFlow, PyTorch, Hugging Face, Airflow, Spark, Kubeflow), cutting training time by 30%, reducing inference latency by 25%, and lowering compute costs by 20% through distributed training and hardware-aware optimization. Led cross-functional collaborations to operationalize state-of-the-art ML research into production features with measurable revenue and engagement impact. Established MLOps and ML reliability practices, enabling CI/CD for ML, model monitoring, and automated retraining, increasing deployment velocity by ~3x. Built scalab
Software Engineer at Microsoft
March 31, 2019 - October 13, 2025Designed and developed backend services and distributed systems for enterprise-scale data and ML workloads, ensuring high availability and sub-second latency for millions of daily users. Implemented large-scale data processing and analytics workflows (C#, Java, Python, SQL, Azure Data Lake, Spark) to support early ML experimentation and analytics across petabyte-scale datasets. Optimized cloud-based microservices and ML-enabled APIs on Azure (Functions, AKS, Service Fabric), reducing latency by 15% and improving model inference throughput. Built ETL pipelines for data ingestion, preprocessing, and transformation to accelerate feature engineering and model training. Collaborated with data scientists to integrate ML prototypes into production systems, enhancing reliability and customer-facing capabilities. Enhanced internal tooling and CI/CD (Azure DevOps, Jenkins, Docker), improving deployment velocity by 25% and contributing to scalable ML infrastructure and monitoring platforms.
Software Engineer at Apple
July 31, 2016 - October 13, 2025Developed and optimized internal software tools to boost engineering workflow efficiency. Contributed to feature design and implementation with attention to performance, scalability, and quality, collaborating closely with cross-functional teams to troubleshoot issues and deliver effective solutions. Participated in code reviews and testing to ensure robust deployments.
Software Developer at Microsoft Hyderabad
July 31, 2014 - October 13, 2025Designed and implemented core application features for enterprise products, focusing on performance, scalability, and maintainability in a C#/.NET and SQL Server environment. Built backend services and APIs, collaborated with global teams to deliver features, and improved system reliability by refactoring legacy code and enhancing data workflows.
Software Developer at ArtZolo
February 28, 2013 - October 13, 2025Developed and maintained web application components (PHP, MySQL, JavaScript), implemented new features, fixed bugs, and collaborated with a small team to translate client requirements into efficient technical solutions.
Senior AI/ML Engineer at Orby AI
November 1, 2024 - PresentArchitected and scaled end-to-end ML pipelines for real-time ingestion, feature engineering, training, deployment, and monitoring. Implemented LLM-powered applications with retrieval-augmented generation (RAG) and vector databases, optimized prompts, and improved accuracy while reducing hallucinations. Built distributed backend systems and AI-driven search infrastructure, cutting query latency and scaling to hundreds of millions of requests per month. Built generative AI and deep learning solutions across AWS SageMaker, GCP Vertex AI, and Kubernetes, delivering low-latency, cost-efficient inference at scale. Established MLOps pipelines with CI/CD, Docker, MLflow, Terraform, and monitoring frameworks (Grafana, Prometheus, Datadog). Developed evaluation & monitoring frameworks for drift detection, A/B testing, and automated retraining. Partnered with product, research, and engineering teams to translate prototypes into production — driving measurable revenue and customer impact.
Senior Software Engineer at Google
October 1, 2024 - October 13, 2025Directed the architecture and deployment of global-scale ML systems powering products used by billions of users, ensuring 99.99% reliability, low-latency inference, and robust multi-region operations. Pioneered LLM-powered solutions by building RAG pipelines, vector embedding services (FAISS, Pinecone, Weaviate), and prompt optimization frameworks, driving improvements in personalization and search quality. Optimized production ML pipelines (TensorFlow, PyTorch, Hugging Face, Airflow, Spark, Kubeflow), cutting training time by ~30%, reducing inference latency by ~25%, and lowering compute costs via distributed training and hardware-aware optimization. Implemented MLOps practices (CI/CD for ML, model monitoring, automated retraining) and built scalable APIs/microservices for ML platforms, accelerating experimentation and deployment velocity.
Software Engineer at Microsoft
March 1, 2019 - October 13, 2025Designed and developed backend services and distributed systems supporting enterprise-scale data and ML workloads, ensuring high availability and sub-second latency across millions of daily users. Implemented large-scale data processing and analytics workflows, enabling early ML experimentation and advanced analytics across petabyte-scale datasets. Optimized cloud-based microservices and ML-enabled APIs on Azure, reducing latency and improving model inference throughput. Built ETL pipelines for feature engineering and collaborated with data scientists to operationalize ML prototypes into production features. Enhanced internal tooling and CI/CD, boosting deployment velocity and reliability of ML releases.
Software Engineer at Apple
July 31, 2016 - October 13, 2025Developed and optimized internal software tools to improve engineering workflow efficiency, contributed to feature design and implementation with a focus on performance, scalability, and quality.
Software Developer at Microsoft Hyderabad
July 31, 2014 - October 13, 2025Designed and implemented core enterprise features for large-scale products, focusing on performance, scalability, and maintainability within C#/.NET and SQL Server environments. Built backend services and APIs to support ML workloads, and collaborated with cross-geography teams to align features with customer needs.
Software Developer at ArtZolo
February 28, 2013 - October 13, 2025Developed and maintained web application components, contributing to both front-end and back-end development, implementing features and fixing bugs to improve system functionality.
Senior AI/ML Engineer at Orby AI
November 1, 2024 - PresentArchitected and scaled production-grade ML pipelines with real-time ingestion, ETL, feature engineering, model training and deployment, and monitoring, reducing deployment cycle time by 35% and achieving 99.9% uptime in mission-critical environments. Built retrieval-augmented generation (RAG) pipelines, embeddings, and vector-store integrations (Pinecone, FAISS, Weaviate) with prompt optimization to improve response accuracy and reduce hallucinations. Delivered low-latency, cost-efficient inference across AWS, GCP, and Kubernetes while upholding AI fairness, privacy, and compliance. Led data architecture and ML Ops initiatives; mentored engineers and partnered with product teams to translate research into production and drive $3M in new revenue opportunities.
Senior Software Engineer at Google
October 1, 2024 - October 13, 2025Directed architecture and deployment of global-scale ML systems powering products used by billions; built RAG pipelines, vector embedding services, and prompt frameworks, driving improvements in personalization and conversational AI quality. Optimized pipelines to cut training time by ~30%, reduced inference latency by ~25%, and lowered compute costs by ~20% through distributed training and hardware-aware optimization. Established ML platform best practices and automated retraining.
Software Engineer at Microsoft
March 31, 2019 - October 13, 2025Designed backend services for enterprise ML workloads with high availability and sub-second latency; built large-scale data processing and analytics pipelines enabling early ML experimentation across petabyte-scale datasets. Optimized Azure-based microservices and ML-enabled APIs (Functions, AKS, Service Fabric), reducing latency and improving throughput; collaborated with data scientists to productionize ML prototypes into customer-facing features, and enhanced internal tooling and CI/CD to improve deployment velocity.
Software Engineer at Apple
July 31, 2016 - October 13, 2025Developed and optimized internal tools, contributed to feature design, ensuring performance and scalability; collaborated with cross-functional teams to troubleshoot issues; participated in code reviews and testing to maintain robust deployments.
Software Developer at Microsoft Hyderabad
July 31, 2014 - October 13, 2025Designed and implemented core enterprise features in C#/.NET and SQL Server; built backend services and data processing pipelines; improved data quality and reliability; collaborated with cross-geography teams to deliver features aligned with customer needs; implemented automation and CI/CD improvements.
Software Developer at ArtZolo
February 28, 2013 - October 13, 2025Developed and maintained web application components (front-end and back-end) using PHP, MySQL, and JavaScript; implemented new features, fixed bugs, and translated client requirements into efficient technical solutions.
Education
Master’s Degree, Computer Science at Georgia Institute of Technology
January 1, 2015 - December 31, 2017Bachelor of Technology, Computer Science at Indian Institute of Technology, Kanpur
January 1, 2011 - December 31, 2015Master’s Degree, Computer Science at Georgia Institute of Technology
January 1, 2015 - December 31, 2017Bachelor of Technology, Computer Science at Indian Institute of Technology, Kanpur
January 1, 2011 - December 31, 2015Master’s Degree at Georgia Institute of Technology
January 1, 2015 - December 31, 2017Bachelor of Technology at Indian Institute of Technology, Kanpur
January 1, 2011 - December 31, 2015Qualifications
Industry Experience
Computers & Electronics, Software & Internet, Professional Services
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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