Bachelor of Technology - BTech

• Contributed to AI-driven payments intelligence systems using enterprise LLMs withAWS Bedrock and Claude models, enabling real-time transaction insights, fraud detection, and behavioral analytics across payment workflows, improving recommendation accuracy by 7%.
• Designed scalable event-driven ML pipelines using AWS Kinesis, Lambda, and S3 to process high-volume card and merchant transaction data, performing feature engineering, validation, normalization, and embedding generation for downstream fraud models.
• Developed and fine-tuned LLM-based systems for transaction understanding, fraud detection, and financial reasoning using instruction tuning, RAG, LoRA, and QLoRA, integrating multi-agent systems and tool-calling workflows for automated payment decisioning and orchestration.
• Executed rigorous model validation through back testing, scenario simulation, and stress testing on fraud patterns, chargebacks, and edge-case transactions, collaborating with risk, compliance, and product

AI/ML Engineer

• Developed real-time forecasting models using LSTMs and transformers to predict transaction volumes, payment success rates, and merchant activity, improving forecast accuracy by 15% and enabling proactive scaling of distributed payment infrastructure.
• Built advanced fraud detection and anomaly detection systems on payments, settlements, and merchant transaction data using XGBoost and LightGBM, reducing fraudulent activities by 10% while minimizing false positives and preserving seamless user checkout experi ences.
• Designed intelligent payment routing and retry optimization strategies using reinforcement learning, improving transaction success rates and reducing latency during peak traffic periods, ensuring high availability across multiple banking integrations and payment gateways.
• Engineered scalable ETL and feature engineering pipelines using Spark, Hive, and Presto to process high-volume transactional and event-stream data, enabling real-time analytics, A/B testing, and conti

AI Engineer building Scalable LLM & ML Systems | Generative AI • MLOps • Real-Time Data | AWS

Know about Vijaykumar Shivakumar Kalasa's work experience, education, bootcamps, certifications, and much more. Vijaykumar Shivakumar Kalasa