K Lokanadham
@klokanadham
I build production-ready AI systems using LLM fine-tuning, RAG, agentic workflows, and predictive models.
What I'm looking for
I've built LLM fine-tuning, RAG, and agentic AI systems, including fine-tuning LLaMA and Qwen 9B models and integrating knowledge graphs for stronger contextual responses. I also developed a VS Code extension that generates functional websites from natural-language prompts using the Google Gemini API.
My work includes churn prediction models with 92% accuracy and customer lifetime value models with 87% accuracy for e-commerce analytics. I'm currently optimizing a LangChain and LangGraph agentic pipeline that automates predictive-model execution and decision flow.
Experience
Work history, roles, and key accomplishments
Trainee Software Engineer
KLOKANADHAM
Oct 2025 - Present (10 months)
Collected, cleaned, and preprocessed large-scale datasets for LLM fine-tuning pipelines. Fine-tuned open-source LLMs (LLaMA, Qwen 9B) using Ollama-based setups, improving reasoning accuracy and response quality.
Education
Degrees, certifications, and relevant coursework
Vemu Institute of Technology
Bachelor of Technology, Computer Science and Engineering
2021 - 2025
Grade: 74%
Activities and societies: Relevant Coursework: Machine Learning, Deep Learning, Data Structures & Algorithms, NLP.
Pursued a Bachelor of Technology in Computer Science and Engineering, graduating with 74% and ranking among top performers in the department.
Availability
Location
Authorized to work in
Job categories
Skills
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