Curriculum Vitae
Summary
Engineering leader specializing in real-time AI systems and large-scale distributed infrastructure. At AWS, lead the org building speech-to-speech and LLM inference platforms powering Amazon Connect. Delivered sub-2s time-to-first-audio at 100k+ concurrent users by driving cross-team latency optimization and productionizing research-grade ML models.
Focused on bridging applied AI and systems engineering—scaling low-latency inference, improving reliability, and optimizing cost for production AI workloads.
Skills
AI / ML: LLM inference, Automatic Speech Recognition (ASR), Text-to-Speech (TTS), Speech-to-Speech (S2S), ML model serving, inference optimization, GPU benchmarking, SageMaker training pipelines, transformer pipelines, noise suppression
Systems: Distributed systems, real-time streaming, event-driven architecture, domain-driven design, low-latency systems
Audio Stack: WebRTC, SIP, Telephony, WebSocket, HTTP2 Streaming
Cloud / Infra: AWS (Lambda, Kinesis, ECS, SageMaker), Amazon Connect, Nova Sonic, multi-region fault-tolerant deployments
Languages / Data: Java, Python, C++, relational databases, NoSQL, real-time analytics pipelines
Experience
Senior SDE / Tech Lead, Conversational AI
Amazon Web Services (AWS) | Nov 2021 – Present | Seattle, WA
- Lead real-time Voice and ML inference org — technical direction, architecture reviews, platform vision
- Architected Speech-to-Speech pipeline — sub-2s TTFA at 100k+ concurrent users
- Built TTS inference stack — 99.99% availability, multi-region failover
- Designed GPU benchmarking framework — informed infra selection, reduced serving costs
- Built SageMaker ML training pipeline — 85% faster model iteration
- Hiring Bar Raiser — 300+ interviews across multiple teams
SDE-I → SDE-II → SDE-III
Amazon (Marketplace & Seller Platform) | Jan 2017 – Nov 2021 | Hyderabad, India
- Built Seller VAT Calculation Engine — 250M+ events/month, 300k+ sellers globally
- Owned end-to-end design and scaling of high-throughput seller workflows
- Led re-architecture initiatives for globally scalable Marketplace services
Education
Bachelor of Technology, Computer Science
National Institute of Technology (NIT), Patna
Contact
- Email: akash.s1684@gmail.com
- LinkedIn: linkedin.com/in/akash1684
- GitHub: github.com/akash1684
- Location: Seattle, WA