
Keertana S
@keertanas
GenAI Developer & AI/ML Engineer with 2+ years’ experience in LLMs, RAG,NLP, AI agents, MCP, prompt engineering, and GenAI safety.
What I'm looking for
I’m a GenAI Developer and AI/ML Engineer with 2+ years of hands-on experience at HCL Software, focused on building practical AI solutions using LLMs, RAG, AI agents, MCP, prompt engineering, and GenAI safety.
My work spans developing LLM-powered applications, secure and responsible AI frameworks, RAG-based solutions, enterprise MCP services, AutoML forecasting systems, and synthetic-data pipelines. I enjoy exploring emerging AI technologies and turning research ideas into working prototypes and enterprise solutions.
I’m particularly interested in Generative AI, Agentic AI, LLM security, RAG, AI research, and enterprise AI applications. I have hands-on experience with Python, LangChain, Hugging Face, PyTorch, TensorFlow, REST APIs, and vector databases.
I’m also passionate about research and innovation. I have published/accepted research work in areas including LLM knowledge retention and behavioral AI, including work accepted at SynthAI@SIGMOD ’26. I have also participated in hackathons and won HCL Software’s Local Small Business Support Hackathon.
I’m looking to work with teams building innovative AI products and intelligent enterprise solutions, where I can contribute to both engineering and AI research while continuing to grow in the rapidly evolving GenAI space.
Experience
Work history, roles, and key accomplishments
Designed and deployed GenAI Guard, a unified LLM safety framework, and built Robo Lawyer, a production RAG legal assistant. Engineered prompt strategies for code migration and developed AutoML forecasting solutions.
Education
Degrees, certifications, and relevant coursework
University BDT College of Engineering, Davangere
Bachelor of Engineering, Computer Science
2019 - 2023
Grade: 8.74 CGPA
Activities and societies: Project: Paying Guest Accommodation Management System; Project: Connecting Nearby People Using Place Coordinates
Bachelor of Engineering in Computer Science from University BDT College of Engineering, Davangere, with a CGPA of 8.74.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
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