Sachin Reddy Kunta

Owned fraud and payment microservices using Node.js, Java, and gRPC, implementing Redis caching, connection pooling, and rate limiting with ALB to support 10M+ DAU at sub-second P95 latency during 10x IPL traffic spikes. Developed real-time fraud detection pipeline using Apache Kafka and Redis, collaborating with data science team to reduce detection latency by 30% during peak traffic. • Delivered Braintree payment integration for US market launch, implementing webhook handlers, idempotent transaction processing, and retry logic for failed charges. • Built Python batch jobs for refund processing, user management, and bonus distribution with concurrent execution, idempotent writes, and batched DB operations, processing 500K+ records weekly. • Built Grafana dashboards tracking API latency, error rates, Kafka lag, and Redis hit rates with threshold alerting, collaborating with SRE on incident triage to reduce MTTR by 40%.

Relevant Coursework: Computer Networks, Algorithms, Machine Learning, Deep Learning, Database Systems, Computer Systems Architecture Focused on systems engineering and backend infrastructure with hands-on experience building scalable applications using FastAPI, PostgreSQL, Docker, and AWS. Key projects included fine-tuning LLaMA models with LoRA optimizations and developing real-time collaborative systems. Gained deep expertise in system design, network protocols, and high-performance computing through research-focused coursework and practical labs.