Kapil Chaudhari
Generative Ai Engineer @Tata Consultancy Services
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WORK HISTORY
Generative Ai Engineer @Tata Consultancy Services
London, GB
Working in Generative AI, LLM-based applications, and AI-driven automation, leveraging AI to create intelligent conversational agents, knowledge platforms, and enterprise solutions. I enjoy collaborating in Agile/Scrum teams, delivering innovative solutions, and building AI platforms that enhance user experience and business impact.
EDUCATION
Goverment college of Engineering dhule
High School Diploma, Computer Science
JSPM's Rajarshi Shahu College of Engineering
Bachelor of Engineering - BE, Computer Engineering
ABOUT KAPIL CHAUDHARI
I am a passionate Generative AI Engineer with 4.6+ years of experience designing and building scalable, cloud-native applications. In my first 3 years, I specialized in Python and Java backend development, creating REST APIs, microservices, and high-performance enterprise systems for domains including insurance. Over the past 1.5 years, I have been focused on developing Generative AI platforms, working on LLM-powered applications, AI chatbots, and RAG-based systems, and deploying AI workloads on cloud-native infrastructure. I am currently working full-time as a GenAI Engineer, integrating AI models with enterprise platforms to deliver intelligent, scalable, and production-ready solutions.At Tata Consultancy Services (TCS), I contributed to enhancing system performance by 20% through optimized Python Flask APIs, refactoring microservices, and improving backend architecture. I have hands-on experience with cloud platforms (AWS, Azure), containerization (Docker), orchestration (Kubernetes / EKS), and implementing LLMOps practices for model deployment, monitoring, and scaling.I am particularly interested in Generative AI, LLM-based applications, and AI-driven automation, leveraging AI to create intelligent conversational agents, knowledge platforms, and enterprise solutions. I enjoy collaborating in Agile/Scrum teams, delivering innovative solutions, and building AI platforms that enhance user experience and business impact. Core Skills & Technologies Programming & Backend • Python, Java, SQL, JavaScript • REST APIs, Microservices Architecture • Flask, Spring Boot🤖 Generative AI & LLMs • Generative AI & LLM application development • AI chatbots and conversational agents • RAG pipelines & knowledge-based AI systems • LLM integration with backend services • Prompt engineering & inference pipelines Cloud & DevOps / LLMOps • AWS (EC2, S3, IAM, EKS) & Azure • Docker, Kubernetes (EKS) • Cloud-native AI platforms • LLMOps: deployment, monitoring, scalability, cost optimisation Tools & Collaboration • Git, Bitbucket, JIRA, Swagger, Postman • Agile / Scrum methodologies • Enterprise-grade solution delivery
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