Last login: on ttys001
jeevan@mbp ~ % ./start_portfolio.sh
[OK] Loading modules...
[OK] Initializing session...
$ whoami
> I am a System Architect_
With 14+ years of experience designing, scaling, and optimizing robust systems, I specialize in cloud infrastructure, DevOps, and backend engineering. I take pride in building solutions from the ground up—from high-concurrency data pipelines to video streaming services and AI-driven applications.
I thrive at the intersection of complex architecture and tangible business outcomes, where elegant technical design meets real-world constraints. Currently, I lead product engineering at Uolo.com. I love tackling deep systemic challenges; recently, I spearheaded an infrastructure initiative that untangled critical performance bottlenecks—driving peak response times down from ~19 seconds to <500ms, expanding traffic capacity by 10x, and reducing monthly cloud spend by nearly 25% through precise architectural right-sizing.
$ ls ./recent-work/
AI & Voice Agent Systems
Built and optimized multi-agent AI systems featuring Voice Activity Detection (VAD), Speech-to-Text (STT), noise filtering, TurnSense ONNX models, and ultra-low latency Cartesia TTS integrations.
High-Performance Backend & Caching
Led Redis cluster optimizations, including right-sizing infrastructure and tuning cache retrieval to handle high-concurrency endpoints. Resolved critical performance bottlenecks in core platforms (e.g., Tekie), driving peak response times down from ~19 seconds to <500ms and reducing 5XX error rates from 3.9% to near-zero.
Cloud Infrastructure & Cost Optimization
Executed major AWS infrastructure cost optimization initiatives. Avoided expensive hardware band-aids through strategic architectural improvements, successfully recovering $150/mo per cluster while enabling 5-10x more traffic capacity on existing hardware.
Enterprise Platform Integrations
Developed robust pipelines for third-party platforms, including Zoho CRM ticketing systems, automated WhatsApp messaging via cron jobs, and custom Grafana MCP servers.
Internal Platforms & Architecture
Architected and scaled complex internal platforms, focusing on robust data processing pipelines and distributed event scheduling engines. These architectural improvements increased processing reliability from 94% to 99.9% and reduced scheduling latency by 60%, empowering cross-functional business operations.
$ ls ./writing/
A deep dive into how we resolved a massive production outage by eliminating blocking operations and re-architecting our Redis and load balancing layers.
Why relying entirely on AI-generated code leads to sneaky, subtle bugs—and how the best engineers are adapting to the era of 'vibe coding'.
Why prompt engineering is fading, and how real teams build resilient AI systems that catch mistakes early.
An analysis of how AI and automation are changing the software engineering landscape and raising the bar for ownership.