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A seasoned, technology-focused AI professional with 8+ years of progressive experience spanning the evolution from Data Science and Deep Learning to modern Generative AI, LLM engineering, and Agentic AI systems.Versatile contributor across the AI/ML lifecycle-from planning and architecture to development, deployment, and operations-building automated pipelines and production-grade systems that scale, drive operational efficiency, and deliver tangible business outcomes.Deep expertise in Generative AI technologies including LLMs, prompt engineering, few-shot learning, RAG (Retrieval-Augmented Generation) architectures, Agentic AI systems (Google ADK framework), MCP (Model Context Protocol), and Agent-to-Agent (A2A) communication protocols for creating intelligent, autonomous AI solutions.Specialized in developing predictive and analytical solutions using traditional ML models, ensemble methods, and deep learning architectures across diverse data types-structured, semi-structured, and unstructured-covering NLP, Computer Vision, Time Series forecasting, and cross-sectional analysis.Expert in deploying production-grade ML models with proven track record of building scalable REST APIs (FastAPI, Flask) for model serving, implementing CI/CD workflows, and establishing model monitoring systems for drift detection and performance tracking.Proficient in Google Cloud Platform (GCP) spanning AI/ML services (Vertex AI, Gemini/Gemini Enterprise, Document AI, Agent Builder, RAG Engine, Vertex AI Search, Dialog flow CX), data platforms (BigQuery, Bigtable, Cloud Storage, DLP), and deployment infrastructure (Cloud Run, GKE) for delivering scalable, production-ready AI applications.Proficient in Python-based ML ecosystem including 7+ years with Scikit-learn for classical ML, 6+ years with TensorFlow, 4+ years with PyTorch for deep learning, and comprehensive experience in hyperparameter tuning, model selection, and feature engineering.Skilled in Python, SQL, data engineering, DevOps, containerization (Docker, Kubernetes), and MLOps toolchains for end-to-end solution delivery, with strong foundation in system design principles and algorithmic problem-solving.Strong track record in managing client relationships, navigating stakeholder expectations, identifying and mitigating project risks, leading technical teams, mentoring interns and freshers, and applying strategic foresight to ensure timely, high-quality delivery.Cross-industry domain knowledge in Life Sciences, Healthcare, Fintech product development, E-commerce, and Smart Cities with IoT-enabled real-time governance, delivering tailored AI/ML applications that address sector-specific challenges and regulatory requirements.

Data Engineer with 5 years of expertise in architecting, building, and optimizing scalable data pipelines and architectures. Proficient in Apache Spark, Apache Kafka, and Hadoop for big data processing tasks. Experience with cloud platforms including Microsoft Azure and Google Cloud, utilizing services like Azure Data Factory and Google Cloud Dataproc. Skilled in implementing and optimizing data warehouse solutions such as Snowflake, Redshift, and Azure Synapse Analytics. Developed robust ETL/ELT processes using tools like Apache Airflow, Informatica, and Azure Data Factory. Proficient in data visualization tools like Tableau, Power BI, and Python libraries. Integrated machine learning models and algorithms using TensorFlow, Scikit-learn, and PySpark. Skilled in data mining techniques and experienced in data modeling. Utilized statistical analysis, hypothesis testing, and predictive modeling techniques to derive actionable insights. Developed database architectural strategies at the modeling, design, and implementation stages.

As an AI and ML Engineer lead at Tata Consultancy Services, I have 11 years of experience in building and deploying data, ML and AI solutions for enterprise clients, especially in the natural language processing, machine translation and image classification domain. I have helped client streamline their data pipeline to manage massive data for meaningful business outcomes in domain of search technologies, distributed processing of large data, finding patterns /generating insights from data.
I have a strong background in application development, big data technologies, cloud infrastructure, distributed systems, machine learning, developing / evaluating state of the art neural networks.

Versatile professional skilled in leading teams, providing expert support, and conducting SQL-based training. Proficient in R, SAS, and Familiar with big data technologies, including PySpark and TensorFlow.

Ajay Kumar

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Bachelor of Technology - BTech - Computer Science

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