Nitish Kundala — Software Engineer
I build intelligent systems that operate at the scale of billions. Currently, as an SDE-II at Amazon, I’m focused on making Alexa smarter through Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). My work revolves around teaching AI to learn from context and past interactions—essentially giving voice assistants a "memory" to reduce friction and improve customer satisfaction. Throughout my career, I’ve navigated the complexities of high-throughput architectures, from managing Java microservices that handle 300,000 TPS to designing GDPR-compliant systems at SAP Labs. I thrive at the intersection of robust backend engineering and cutting-edge AI. Whether it’s optimizing search times to 30ms or architecting LLM-facing APIs, I am passionate about writing code that is not just functional, but scalable, secure, and cost-efficient. Core Competencies: AI/ML: LLM Fine-tuning, RAG, Prompt Engineering, BERT, AWS SageMaker. Backend & Scale: Java, Microservices, AWS (EC2, DynamoDB, Lambda), Kubernetes, Kafka. Search & Data: Elasticsearch, CQRS Pattern, Distributed Systems.
Stackforce AI infers this person is a Backend Engineer specializing in AI/ML solutions for consumer applications.
Location: San Jose, California, United States
Experience: 7 yrs 9 mos
Skills
- Ai/ml
- Backend & Scale
- Search & Data
- Mobile Development
Career Highlights
- Expert in building scalable AI systems.
- Proven track record in backend engineering.
- Skilled in optimizing high-throughput architectures.
Work Experience
Amazon
Software Development Engineer II (3 yrs 2 mos)
Software Development Engineer - I (1 yr 4 mos)
SAP
Software Development Engineer (10 mos)
Software Engineer Intern (3 mos)
Carnegie Mellon University - School of Computer Science - Institute for Software Research
Graduate Teaching Assistant (4 mos)
UBS
Technology Intern (5 mos)
RedCarpetUp.com
Software Engineering Intern (A Google Launchpad & Y Combinator FinTech Start up) (1 mo)
Tata Consultancy Services
Software Engineering Intern (2 mos)
Department of Visual Media, BITS Pilani
Lead Android Developer (1 yr 9 mos)
Tata Consultancy Services
Software Engineering Intern (2 mos)
Education
Master's degree at Carnegie Mellon University
Bachelor of Engineering - BE at Birla Institute of Technology and Science, Pilani
Master's degree at Birla Institute of Technology and Science, Pilani
High School at Maharashtra Board for Higher Secondary Education
ICSE at Hiranandani Foundation School
Primary School at Kendriya Vidyalaya