RASIK RAHMAN — AI Researcher
I am an engineer whose DNA is built on one principle: Intelligence at Scale. My journey spans from engineering precision in performance to architecting the cutting edge of Agentic AI. I don't just build systems that work; I build systems that work by themselves. The Foundation: Performance Engineering & Predictive AI (QBurst) My career began at QBurst, a company renowned for its 'High AI IQ.' There, I moved beyond traditional quality assurance to engineer intelligence into software performance. I architected a proprietary ML-driven Performance Framework that leveraged Random Forest algorithms to predict system degradation and ensure robust solutions for Tier-1 Automotive and Insurance clients. This was Predictive AI in action, setting new benchmarks for quality and efficiency The Technical Sandbox: Automation & Domain Expertise (BullByte News) To deepen my expertise in workflow orchestration, I developed BullByte News (bullbytenews.wordpress.com)—a personal R&D project. This is a fully automated media engine, powered by n8n, that integrates my 3+ years of stock market analysis to scrape, process, and syndicate financial insights across WordPress and social media, all before market open. It's my living lab for mastering end-to-end autonomous systems. The Future: Agentic AI & Generative Power (Shellkode) Today, at Shellkode, I apply that combined rigor and innovation to Generative AI. My focus is on: 🤖 Designing Agentic AI workflows that autonomously execute complex tasks and manage API interactions. 🎙️ Engineering low-latency Voice AI solutions with Groq & Sarvam for real-time human-AI conversations. ☁️ Optimizing vLLM deployments on AWS for high-throughput, scalable AI inference. I am an engineer who builds systems that think, learn, and act. Tech Stack: Python, n8n, vLLM, LangChain, Strands, AWS, Jmeter, Locust, Prometheus, InfluxDB, Grafana, Selenium, Playwright.
Stackforce AI infers this person is a Fintech and AI specialist with expertise in performance engineering and automation.
Location: Chennai, Tamil Nadu, India
Experience: 2 yrs 8 mos
Skills
- Agentic Ai Development
- Aws
- Workflow Orchestration
- Automation
- Performance Engineering
- Predictive Ai
Career Highlights
- Architected ML-driven Performance Framework for predictive AI.
- Developed BullByte News, an automated financial insights engine.
- Designed Agentic AI workflows for autonomous task execution.
Work Experience
ShellKode
AI/ML Engineer (7 mos)
Bullbytenews
Independent Developer & Automation Architect | BullByte News (Personal Project) (1 yr)
QBurst
Performance & AI-Quality Engineer (1 yr 10 mos)
Trainee (3 mos)
Education
Bachelor of Technology - BTech at BSA Crescent Institute of Science and Technology