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  Highly motivated and results-oriented AI/Gen AI solution architect with proven record to develop and deliver solution with Agent Framework, RAG Framework, Chunking Strategies, LLMs, Open Source Frameworks like Langchain, Llama Index, LangGrapgh, Vector Database, Knowledge Graph, Prompt Engineering.
  Experience of predictive/prescriptive analytics including Machine Learning algorithms (Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks such as Regression, Classification, Ensemble model, RNN, LSTM, GRU.
  Designed and deployed distributed Data pipeline for ML and LLM solution with Kubernetes, Kubeflow, Vertex AI.
  Proven expertise in leveraging Google Cloud Platform (GCP) services, including Big Query, Dataflow, Pub/Sub, Cloud Storage, and Kubernetes. Strong understanding of data warehousing, data lake architectures, and cloud security best practices.


With 8 years of expertise in technology, I specialize in AI-driven transformations and Robotic Process Automation (RPA). My key skills include:

  Artificial Intelligence : Expert in deploying generative AI models such as ChatGPT and RAG using Azure OpenAI, with a focus on developing secure internal chatbots hosted within the organization to ensure data confidentiality. Proficient in prompt engineering to tailor AI interactions for specific needs. I utilize Python, Kubernetes, and Node.js to build and scale robust AI applications.
  AI Agentic Workflows: Successfully integrated AI agents with APIs from UiPath and Workato, automating complex workflows and enabling intelligent, dynamic interactions through chat interfaces.
  Robotic Process Automation (RPA): Experienced in using UiPath to design and automate business processes, significantly boosting operational efficiency across departments.
  Cloud and Network Infrastructure: Advanced in setting up and managing secure, scalable cloud environments on AWS and Azure, ensuring high performance and availability for AI and RPA platforms.
  Data Analytics and Visualization: Skilled in using Power BI to develop insightful visualizations, transforming complex data sets into strategic decision-making tools.

In roles at OCBC and CapitaLand, I have led transformative projects leveraging cutting-edge AI and RPA technologies. I am committed to promoting a culture of innovation and continuous learning through specialized training sessions.

Senior Full-Stack Developer with over 9 years of experience in crafting high-scale web applications within the React, Next.js, and Express.js ecosystem. Proven expertise in engineering secure FinTech payment infrastructures, distributed microservices, and large-scale data platforms tailored for the aviation and retail sectors. Currently leading the integration of Generative and Agentic AI technologies, designing autonomous intelligent agents through advanced prompt engineering to enhance enterprise automation and decision intelligence. Committed to leveraging innovative solutions that drive efficiency and transformative growth in complex environments.

Over 8 years of experience in Generative AI, Data Science, and Data Engineering, specializing in the development and deployment of AI/ML solutions across diverse industries. Expertise in designing generative AI models such as GANs, VAEs, and LLMs using TensorFlow and PyTorch, with a strong focus on NLP tasks, including text generation and classification. Proven track record of optimizing model inference latency by 45%, and automating ML workflows with tools like Vertex AI and Kubeflow. Skilled in managing scalable data pipelines, and leveraging cloud services for efficient data processing and model deployment.
Seasoned professional experience in Generative AI and Data Engineering, delivering AI/ML solutions that drive business results. Proficient in building and deploying advanced AI models, including LLMs and diffusion models, utilizing frameworks like Hugging Face and PyTorch. Achievements include a 45% reduction in model inference latency, and successful automation of end-to-end ML workflows. Strong background in MLOps, data pipeline management, and cloud service integration for scalable solutions.
AI and data science expert in developing and implementing AI/ML solutions across various sectors. Demonstrated ability to design and deploy generative AI models and optimize workflows, achieving significant performance improvements, such as a 45% decrease in inference latency. Extensive experience with MLOps tools and cloud platforms, ensuring reliable and scalable model deployment. Adept at managing complex data pipelines and applying advanced machine learning techniques for impactful results.

RAJAT KUSHWAH

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Site Engineer

Mission associate (Junior Engineer)

QUALITY ENGINEER (PROJECT HEAD)

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B-Tech - Mechanical

Intermediate - undefined

High School - undefined

PGDM - AI ML & DATA SCIENCE - Artificial Intelligence

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