Anandu Krishna P A
Machine Learning Intern @Atees Industrial Training Pvt Ltd
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WORK HISTORY
Machine Learning Intern @Atees Industrial Training Pvt Ltd
Thrissur, IN
Developed and fine-tuned classification and regression models using scikit-learn, achieving target accuracy of ~90%. • Created NLP pipelines for text classification and sentiment analysis, resulting in F1-scores exceeding 85%. • Automated data preprocessing workflows with n8n, significantly reducing manual effort and error rates. • Explored Generative AI technologies for chatbot and summarization prototypes, preparing production-ready demos.
EDUCATION
Bharathiar University
Bachelor's degree BCA, Computer Science
University of Calicut
Master of Computer Applications - MCA, Computer Science
ABOUT ANANDU KRISHNA P A
I build production AI and backend systems that solve real business problems.My work focuses on Applied LLM systems, retrieval-augmented generation (RAG), and scalable SaaS platforms. I’ve designed and deployed multi-tenant billing systems and AI-powered tools serving paying B2B clients across UAE and India.At HexaStack AI Solutions, I engineered HexaBill a multi-tenant billing SaaS processing ₹1.2+ crore in monthly business transactions. I designed backend architecture, financial reconciliation logic, tenant isolation models, reporting optimizations, and production debugging workflows. I also led legacy data migration (241 invoices) with zero data loss during live production transition.On the AI side, I’ve built end-to-end RAG systems including document ingestion, semantic chunking, embedding generation, vector search (FAISS/Chroma), and LLM-based answer synthesis with confidence fallback to reduce hallucination. I’ve integrated OpenAI, Gemini, and Groq APIs into production workflows with cost-conscious deployment strategies.I use AI-augmented development tools to accelerate implementation, but I focus on understanding architecture, system behavior, and reliability at a foundational level.My core strengths:• Applied LLM systems (RAG pipelines, embeddings, vector search)• Python backend engineering (Django, REST APIs, PostgreSQL)• Multi-tenant SaaS architecture & financial workflow validation• Production deployment, debugging, and cost optimizationCurrently open to Applied LLM / AI Backend roles where production ownership and system thinking matter.
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