Karthikeyan B — AI Researcher
Hi, I’m Karthikeyan, GenAI & Agentic AI - oriented Data Scientist focused on designing intelligent systems that don’t just predict outcomes, but reason to drive measurable business impact. 🎯 My Journey: With over a decade of experience in QA Automation and Data Architecture, I bring a strong foundation in scalable systems, data reliability, and enterprise-grade design. This background naturally evolved into Data Science and AI, where I now focus on building autonomous, decision-supporting AI solutions. My work spans Machine Learning, NLP, Predictive Modeling, and Generative AI, with an increasing emphasis on Agentic AI workflows - systems that combine models, tools, and feedback loops to automate complex business decisions. 🏆 Key Achievements: ❇️ Designed and implemented a RAG- and Knowledge Graph–powered intelligence layer, modeling complex relationships across structured and unstructured data to enhance semantic search, reasoning, and explainability in AI-driven recommendations. ❇️ Developed a BERT-based news classifier (66% accuracy) that cut editorial workload by 40% and reduced content turnaround time. ❇️ Created an Employee Retention Prediction model (97.6% accuracy) that helped HR teams reduce attrition risk and act proactively. ❇️ Delivered Telecom demographic insights across 31K+ users, improving campaign precision by 25% through targeted recommendations. ❇️ Built a Cross-Selling Model (AUC = 0.85, 71% recall) enabling marketing teams to target high-potential insurance buyers effectively. 🧠 Key Skills & Expertise: Gen AI | Agentic AI | Python | SQL | Machine Learning | Deep Learning | NLP | Predictive Analytics | Data Visualization | Big Data (Hadoop, Spark) | Statistical Modelling | AWS (EC2, S3) | MLflow | DVC | Docker | FastAPI | Kubernetes (k3s) | GitHub Actions | Prometheus | Grafana | Business Problem Solving 🚀 My Unique Value: I combine over 20 years of data-driven architecture experience with a strong AI and analytics mindset, enabling me to bridge the gap between data engineering and business intelligence. My approach ensures that every ML model I build directly ties to business KPIs and operational efficiency. 🌱 Future Goals: I aim to advance into a AI Solution Architect role where I can lead impactful projects, mentor junior data professionals, and drive enterprise-level digital transformation through data. 📩 Let’s Connect: If you’re looking for someone who can turn complex business challenges into intelligent, autonomous AI solutions - reach out at b_karthii@yahoo.com or connect with me here on LinkedIn.
Stackforce AI infers this person is a Data Scientist specializing in AI solutions for diverse industries including Media, Insurance, and Telecom.
Location: Bengaluru, Karnataka, India
Experience: 23 yrs 1 mo
Skills
- Machine Learning
- Data Analysis
- Nlp
- Sql
- Big Data
Career Highlights
- Designed RAG-powered intelligence layer for enhanced AI recommendations.
- Achieved 97.6% accuracy in employee retention prediction model.
- Reduced editorial workload by 40% with BERT-based news classifier.
Work Experience
Career Break
Career transition (1 yr 5 mos)
Self-employed
Data Science & AI Professional (2 yrs 4 mos)
Cognizant
Manager - Projects | Data Science (3 yrs 10 mos)
Cognizant Technology Solutions
Manager - Projects | QA Automation Architect (5 yrs 6 mos)
Senior Software Engineer (4 yrs 2 mos)
HP
Information Technology Developer (6 yrs 2 mos)
EximSoft Technologies Pvt Ltd
Member Technical (10 mos)
NetGalactic Internet Solutions Pvt. Ltd.
Quality Control Engineer (6 mos)
Tsunami Infosolutions
Test Engineer (8 mos)
Education
Post Graduate Program (PGP) at Accredian
Bachelor of Science at University of Madras